As part of the Cloud & Infrastructure team within Enterprise Operations, this role will provide senior technical leadership across Active Directory, compute, virtualization, storage, backup and disaster recovery, and core infrastructure services.

The Staff Infrastructure Engineer will remain hands-on while helping define scalable, secure, and resilient infrastructure standards that support Shield AI's continued growth.

Responsibilities:

• Systems Engineering: Serve as a senior technical resource on the Cloud & Infrastructure team, designing and implementing solutions for complex infrastructure requirements and technical challenges.
• Design, deploy, administer, and optimize Active Directory and core identity infrastructure, including domain services, Group Policy, DNS, authentication, replication, and integration with cloud identity services.
• Engineer and operate enterprise compute, virtualization, and storage infrastructure supporting business, engineering, and mission-critical workloads.
• Design, administer, and optimize enterprise storage platforms, including capacity planning, performance, availability, data protection, replication, and lifecycle management.
• Engineer and support compute platforms across data centers, colocation facilities, offices, and hybrid cloud environments, including virtualization, GPU-accelerated infrastructure, VDI, and specialized engineering workloads.
• Engineer and maintain Windows and Linux server infrastructure across data centers.
• Perform capacity planning and infrastructure sizing for new workloads, engineering environments, site expansions, and data center deployments.
• Design, deploy, and maintain data center and colocation infrastructure, including server and storage platforms, rack-level deployments, capacity planning, hardware lifecycle management, resiliency, and coordination with supporting teams and external providers.
• Perform infrastructure capacity planning and sizing for new workloads, engineering environments, site expansions, and data center deployments.

Resiliency, Operations & Automation:

• Design and continuously improve backup, disaster recovery, and infrastructure resiliency, including recovery architecture, replication, recovery objectives, testing, documentation, and execution of disaster recovery exercises.
• Implement monitoring and observability for infrastructure availability, capacity, performance, and reliability; identify and drive improvements before they become operational issues.
• Develop infrastructure automation and repeatable deployment patterns using Terraform, Ansible, PowerShell, Python, Bash, or similar technologies.
• Support integration between on-premises infrastructure and AWS/Azure, including workloads requiring hybrid connectivity or services, and support containerized or Kubernetes-based infrastructure where appropriate.
• Troubleshoot and resolve complex infrastructure incidents and serve as an escalation point for critical production issues.
• Participate in on-call, emergency response, and planned maintenance activities as required.

Technical Leadership & Collaboration:

• Partner with Cybersecurity on infrastructure hardening, vulnerability remediation, access controls, and compliance requirements.
• Partner with Network Engineering on infrastructure connectivity and dependency requirements while maintaining clear ownership boundaries for enterprise network architecture and network devices.
• Lead infrastructure projects and technical initiatives from design through implementation, including architecture, standards, operational documentation, and handoff procedures.
• Mentor engineers and provide technical guidance while remaining hands-on with infrastructure engineering and implementation.
• Develop and maintain infrastructure standards, architecture documentation, operational procedures, and engineering best practices.

Requirements:

• Bachelor's degree in a technical discipline or equivalent practical experience.
• 8+ years of experience engineering and supporting enterprise infrastructure in production environments.
• Advanced experience administering and engineering Microsoft Active Directory, including AD DS, Group Policy, DNS, authentication, and replication.
• Strong experience with enterprise compute, virtualization, and storage platforms, including technologies such as VMware, Hyper-V, KVM, NetApp, Pure Storage, Dell EMC, or equivalent.
• Strong Windows Server administration experience and working proficiency with Linux systems such as RHEL or Ubuntu.
• Experience designing and implementing backup, replication, disaster recovery, and business continuity solutions, including RTO/RPO planning and testing.
• Experience with infrastructure automation and configuration management using tools such as Terraform, Ansible, PowerShell, Python, Bash, or similar technologies.
• Experience supporting hybrid infrastructure across on-premises environments and AWS and/or Azure.
• Demonstrated ability to lead complex technical initiatives, establish engineering standards, troubleshoot ambiguous problems, and mentor other engineers.
• Effective written and verbal communication skills, including the ability to communicate technical concepts to technical and non-technical audiences.

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The successful candidate will be responsible for gathering, analyzing, and documenting technical requirements for Portfolio Managers pursuing bespoke investment strategies. They will identify appropriate infrastructure components, guide customer teams on standard development patterns, and coordinate infrastructure provisioning and component deployment across technology teams.

Key responsibilities include:

• Gathering, analyzing, and documenting technical requirements for Portfolio Managers
• Identifying appropriate infrastructure components and communicating how they address customer requirements
• Guiding customer teams on standard development patterns used across the organization
• Coordinating infrastructure provisioning and component deployment across technology teams
• Creating and maintaining prioritized work plans, aligning customer needs, dependencies, and delivery expectations
• Driving programs to upgrade and modernize customer technology environments
• Providing customer-focused feedback to platform teams to improve infrastructure products and services

The ideal candidate will have at least four years of infrastructure project or service delivery experience in financial services, with a proven ability to manage multiple cross-team deliveries through completion. They will have working knowledge of servers, networks, storage, and PCs, along with basic Linux and Windows administration and troubleshooting experience.

Required skills include:

• Infrastructure project or service delivery experience in financial services
• Strong ownership, integrity, and persistence in driving accountability
• Working knowledge of servers, networks, storage, and PCs
• Basic Linux and Windows administration and troubleshooting experience
• Familiarity with AWS, Google Cloud Platform, Microsoft Azure, and Microsoft Office 365
• Understanding of the software development lifecycle and common development patterns
• Experience using commercial AI tools to accelerate analysis and assessment
• Excellent written, verbal, and presentation skills

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The successful candidate will work closely with portfolio management, risk, and engineering teams on application development, deployment, and architecture. You will partner with quants, risk managers, and engineers to develop compute-intensive applications for quantitative modeling and processing large datasets.

Key responsibilities include:

• Collaborating with cross-functional teams on application development and architecture
• Optimizing platform performance using network and systems programming
• Automating system maintenance tasks and data integrity checks
• Maintaining and enhancing existing capabilities
• Partnering with project managers and senior leadership to capture requirements and manage expectations

To be considered, you should have:

• 3-5+ years of professional software development experience in Java or C++, with at least 1 year of experience in Rust
• Strong SQL and database experience, particularly with DuckDB, Postgres, and other RDBMS
• Experience with containerization, ideally Kubernetes and ArgoCD
• Experience with scaled architectures and performance analysis and optimization of backend systems
• Bachelor's or Master's degree in Computer Science or another scientific field
• Strong analytical, problem-solving, and communication skills

Experience with Apache Kafka, Arrow, Parquet, and/or Avro, as well as cloud experience with AWS and/or GCP, is a plus.

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Your responsibilities will include:

• Troubleshooting and resolving basic hardware, software, network, and user access-related issues
• Escalating complex problems to higher-level support as needed
• Guiding users through step-by-step solutions and providing clear instructions
• Logging all interactions, resolutions, and follow-up actions in the service management system
• Adhering to established service desk procedures and performance objectives
• Maintaining up-to-date knowledge of IT policies, systems, and standard operating procedures

The ideal candidate will have entry-level experience with the following skills:

• Written and verbal communication
• iPhone Mobile
• Broad web browser proficiency
• IT Hardware
• Azure
• Microsoft O365
• ServiceNow
• Windows OS
• MAC OS
• MS Teams
• Outlook
• Intune
• AWS
• OneDrive
• OKTA

We offer a competitive compensation and benefits package, including:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

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Your main responsibilities will include:

• Troubleshooting and resolving basic hardware, software, network, and user access-related issues
• Escalating complex problems to higher-level support as needed
• Guiding users through step-by-step solutions and providing clear instructions
• Logging all interactions, resolutions, and follow-up actions in the service management system
• Adhering to established service desk procedures and performance objectives
• Maintaining up-to-date knowledge of IT policies, systems, and standard operating procedures

You will need to have strong written and verbal communication skills, as well as entry-level experience with iPhone Mobile, broad web browser proficiency, and IT hardware.

In terms of software and tool skills, you will need to have entry-level experience with:

• Azure
• Microsoft O365
• ServiceNow
• Windows OS
• MAC OS
• MS Teams
• Outlook
• Intune
• AWS
• OneDrive
• OKTA

We offer a competitive compensation and benefits package, including:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

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The role involves owning security monitoring and detection end-to-end: anticipating how systems could be compromised, ensuring the right telemetry is in place to detect it, and building detections and response workflows to act on it.

Key responsibilities include:

• Owning security monitoring and detection across AWS, identity, endpoints, SaaS, networks, and data center environments
• Building and maintaining telemetry and logging pipelines needed to detect security incidents
• Leading security investigations and incident response from detection through containment, recovery, and post-mortem
• Proactively hunting for threats and identifying gaps in visibility, controls, and detection coverage
• Building automation to improve detection, investigation, and response
• Working closely with IT and Engineering to turn security findings into preventative controls and better system design

Requirements:

• Significant hands-on experience in detection engineering, security engineering, incident response, threat hunting, or a similar technical role
• Strong understanding of cloud environments, ideally AWS, and how to monitor them for unauthorized or suspicious activity
• Strong networking fundamentals and an understanding of how attackers move through networks and systems
• Strong understanding of attacker tradecraft and the ability to turn it into useful, high-signal detections
• Experience investigating real security incidents and taking ownership through to resolution
• Strong scripting or programming skills, ideally Python, and a habit of automating repetitive work
• Experience with security monitoring and response tooling such as SIEM, EDR, SOAR, or equivalent

Benefits:

• Competitive salary and eligibility for equity
• Biannual bonus scheme
• Fully expensed tech to match individual needs
• Private health insurance
• Breakfast and dinner allowance for office-based employees

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You will own security monitoring and detection end-to-end: anticipating how systems could be compromised, ensuring the right telemetry is in place, and building detections and response workflows.

Responsibilities:

• Own security monitoring and detection across AWS, identity, endpoints, SaaS, networks, and data center environments
• Build and maintain telemetry and logging pipelines to detect security incidents
• Lead security investigations and incident response
• Proactively hunt for threats and identify gaps in visibility, controls, and detection coverage
• Build automation to improve detection, investigation, and response
• Work closely with IT and Engineering to turn security findings into preventative controls and better system design

Requirements:

• Significant hands-on experience in detection engineering, security engineering, incident response, or a similar technical role
• Strong understanding of cloud environments, ideally AWS, and how to monitor them for unauthorized or suspicious activity
• Strong networking fundamentals and understanding of how attackers move through networks and systems
• Experience investigating real security incidents and taking ownership through to resolution
• Strong scripting or programming skills, ideally Python
• Experience with security monitoring and response tooling such as SIEM, EDR, SOAR, or equivalent

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The role involves owning security monitoring and detection end-to-end: anticipating how systems could be compromised, ensuring the right telemetry is in place to detect it, and building detections and response workflows to act on it. The ideal candidate will have significant hands-on experience in detection engineering, security engineering, incident response, threat hunting or a similar technical role.

Responsibilities:

• Own security monitoring and detection across AWS, identity, endpoints, SaaS, networks and data center environments
• Build and maintain telemetry and logging pipelines needed to detect security incidents, and continuously test and improve detection coverage
• Lead security investigations and incident response from detection through containment, recovery and post-mortem
• Proactively hunt for threats and identify gaps in visibility, controls and detection coverage
• Build automation to improve detection, investigation and response, making effective use of AI and emerging tools to improve efficiency and capabilities
• Work closely with IT and Engineering to turn security findings into preventative controls and better system design
• Develop and test incident response playbooks and continuously improve response capability
• Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks.

Requirements:

• Significant hands-on experience in detection engineering, security engineering, incident response, threat hunting or a similar technical role
• Strong understanding of cloud environments, ideally AWS, and how to monitor them for unauthorised or suspicious activity
• Strong networking fundamentals and an understanding of how attackers move through networks and systems
• Strong understanding of attacker tradecraft and the ability to turn it into useful, high-signal detections
• Experience investigating real security incidents and taking ownership through to resolution
• Strong scripting or programming skills, ideally Python, and a habit of automating repetitive work
• Experience with security monitoring and response tooling such as SIEM, EDR, SOAR or equivalent
• Strong systems thinking and a natural instinct for asking "how would we know if this was compromised?"
• Comfortable working autonomously and closely with IT and Engineering teams
• Curious about emerging AI capabilities and proactive in experimenting with AI-assisted development, automation and security workflows.

Benefits:

• Competitive salary and eligibility for equity
• Biannual bonus scheme
• Fully expensed tech to match needs
• Private health insurance
• Breakfast and dinner allowance for office-based employees

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The role involves owning security monitoring and detection end-to-end: anticipating how systems could be compromised, ensuring the right telemetry is in place to detect it, and building detections and response workflows to act on it.

Key responsibilities include:

• Owning security monitoring and detection across AWS, identity, endpoints, SaaS, networks, and data center environments
• Building and maintaining telemetry and logging pipelines needed to detect security incidents
• Leading security investigations and incident response from detection through containment, recovery, and post-mortem
• Proactively hunting for threats and identifying gaps in visibility, controls, and detection coverage
• Building automation to improve detection, investigation, and response
• Working closely with IT and Engineering to turn security findings into preventative controls and better system design

Requirements:

• Significant hands-on experience in detection engineering, security engineering, incident response, threat hunting, or a similar technical role
• Strong understanding of cloud environments, ideally AWS, and how to monitor them for unauthorized or suspicious activity
• Strong networking fundamentals and an understanding of how attackers move through networks and systems
• Strong understanding of attacker tradecraft and the ability to turn it into useful, high-signal detections
• Experience investigating real security incidents and taking ownership through to resolution
• Strong scripting or programming skills, ideally Python, and a habit of automating repetitive work
• Experience with security monitoring and response tooling such as SIEM, EDR, SOAR, or equivalent

Benefits:

• Competitive salary and eligibility for equity
• Biannual bonus scheme
• Fully expensed tech to match individual needs
• Private health insurance
• Breakfast and dinner allowance for office-based employees

XML job scraping automation by YubHub

The role involves owning security monitoring and detection end-to-end: anticipating how systems could be compromised, ensuring the right telemetry is in place to detect it, and building detections and response workflows to act on it.

Key responsibilities include:

• Owning security monitoring and detection across AWS, identity, endpoints, SaaS, networks and data center environments
• Building and maintaining telemetry and logging pipelines needed to detect security incidents
• Leading security investigations and incident response from detection through containment, recovery and post-mortem
• Proactively hunting for threats and identifying gaps in visibility, controls and detection coverage
• Building automation to improve detection, investigation and response
• Working closely with IT and Engineering to turn security findings into preventative controls and better system design
• Developing and testing incident response playbooks and continuously improving response capability
• Implementing and enhancing internal AI agents and security bots

Requirements:

• Significant hands-on experience in detection engineering, security engineering, incident response, threat hunting or a similar technical role
• Strong understanding of cloud environments, ideally AWS, and how to monitor them for unauthorised or suspicious activity
• Strong networking fundamentals and an understanding of how attackers move through networks and systems
• Strong understanding of attacker tradecraft and the ability to turn it into useful, high-signal detections
• Experience investigating real security incidents and taking ownership through to resolution
• Strong scripting or programming skills, ideally Python
• Experience with security monitoring and response tooling such as SIEM, EDR, SOAR or equivalent
• Strong systems thinking and a natural instinct for asking 'how would we know if this was compromised?'
• Comfortable working autonomously and closely with IT and Engineering teams
• Curious about emerging AI capabilities and proactive in experimenting with AI-assisted development, automation and security workflows.

Preferred skills include experience with:

• AWS security telemetry including CloudTrail, GuardDuty, VPC Flow Logs and IAM
• Detection-as-code, Sigma, Git-based detections and automated testing
• CrowdStrike, SentinelOne, Defender or another EDR
• Network security monitoring, PCAP, NetFlow/sFlow or firewall telemetry
• Digital forensics, threat intelligence, purple teaming or security validation
• Data centre or colocation security, including OOB networks and BMC/IPMI
• Security automation, AI-assisted development or applying AI/LLMs to security engineering and operations
• Energy, trading, fintech, critical infrastructure or other high-value-target environments

Benefits include:

• Competitive salary and eligibility for equity
• Biannual bonus scheme
• Fully expensed tech to match needs
• Private health insurance
• Breakfast and dinner allowance for office-based employees

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You will own security monitoring and detection end-to-end: anticipating how systems could be compromised, ensuring the right telemetry is in place, and building detections and response workflows.

Responsibilities:

• Own security monitoring and detection across AWS, identity, endpoints, SaaS, networks, and data center environments
• Build and maintain telemetry and logging pipelines to detect security incidents
• Lead security investigations and incident response
• Proactively hunt for threats and identify gaps in visibility, controls, and detection coverage
• Build automation to improve detection, investigation, and response
• Work closely with IT and Engineering to turn security findings into preventative controls and better system design

Requirements:

• Significant hands-on experience in detection engineering, security engineering, incident response, or a similar technical role
• Strong understanding of cloud environments, ideally AWS, and how to monitor them for unauthorized or suspicious activity
• Strong networking fundamentals and understanding of how attackers move through networks and systems
• Experience investigating real security incidents and taking ownership through to resolution
• Strong scripting or programming skills, ideally Python
• Experience with security monitoring and response tooling such as SIEM, EDR, SOAR, or equivalent

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You will take end-to-end ownership of production observability, incident response, service-level management, and cloud infrastructure reliability across mission-critical payment systems spanning Europe and Asia.

Key Responsibilities

• Incident Management & On-Call: Participate in a follow-the-sun production on-call rotation as a senior incident responder. Lead incident management during SEV1/SEV2 events to optimise MTTR and operational effectiveness.
• Production Operations: Diagnose, triage, mitigate, and coordinate the resolution of complex production incidents across payment services, Kubernetes (EKS) platforms, databases, Kafka pipelines, and cloud infrastructure.
• Database HA & Disaster Recovery: Own database high availability and disaster recovery end-to-end , Aurora/RDS Multi-AZ, replication, automated backups, PITR, and regular, documented restore drills so recovery never depends on one person.
• SLO & Reliability Engineering: Define, implement, and maintain SLOs, SLIs, error budgets, alerting standards, and operational readiness processes across distributed services. Drive the shift from log-count alerting to symptom- and metric-based alerting.
• Cost Optimisation: Own AWS cost efficiency across our multi-account environment , right-sizing, Savings Plans/RI coverage, data transfer, and storage lifecycle.
• Continuous Optimisation: Drive systemic reliability improvements through infrastructure automation, observability enhancement, capacity planning, performance tuning, and post-incident root-cause analysis (RCA).
• Security & Compliance: Partner with global engineering teams to strengthen architectural resilience, security posture, and operational maturity in PCI-DSS-regulated payment environments.
• Technical Leadership: Mentor engineers, eliminate operational toil through automation, and influence engineering teams to adopt resilience-by-design practices.

Requirements

• Experience: 8+ years of hands-on experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles supporting high-availability, mission-critical production systems.
• Core Technical Stack: Strong expertise in AWS (multi-account, EKS), Kubernetes, Terraform, PostgreSQL, Redis, Kafka, Linux, networking, and modern observability platforms (e.g., Coralogix, PagerDuty, Prometheus, Grafana).
• Database HA & DR: Proven experience with database high availability and disaster recovery , replication, failover, backup strategies, and hands-on restore operations.
• Distributed Systems Mastery: Deep understanding of distributed systems architecture, high availability, disaster recovery, capacity planning, and microservices orchestration.
• SRE Methodology: Deep knowledge of core SRE principles, including SLO/SLI design, error budget management, alert governance, and toil reduction.
• Location & Communication: Based in Hong Kong or Shenzhen. Excellent command of English (written and spoken) to lead cross-functional incident responses and collaborate seamlessly with global teams; Mandarin required for local collaboration.

Benefits

• Competitive package
• A dynamic and innovative team
• Collaborative, inclusive working environment where your contributions are recognized

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You will take end-to-end ownership of production observability, incident response, service-level management, and cloud infrastructure reliability across mission-critical payment systems spanning Europe and Asia.

Key Responsibilities

• Incident Management & On-Call: Participate in a follow-the-sun production on-call rotation as a senior incident responder. Lead incident management during SEV1/SEV2 events to optimise MTTR and operational effectiveness.
• Production Operations: Diagnose, triage, mitigate, and coordinate the resolution of complex production incidents across payment services, Kubernetes (EKS) platforms, databases, Kafka pipelines, and cloud infrastructure.
• Database HA & Disaster Recovery: Own database high availability and disaster recovery end-to-end , Aurora/RDS Multi-AZ, replication, automated backups, PITR, and regular, documented restore drills so recovery never depends on one person.
• SLO & Reliability Engineering: Define, implement, and maintain SLOs, SLIs, error budgets, alerting standards, and operational readiness processes across distributed services. Drive the shift from log-count alerting to symptom- and metric-based alerting.
• Cost Optimisation: Own AWS cost efficiency across our multi-account environment , right-sizing, Savings Plans/RI coverage, data transfer, and storage lifecycle.
• Continuous Optimisation: Drive systemic reliability improvements through infrastructure automation, observability enhancement, capacity planning, performance tuning, and post-incident root-cause analysis (RCA).
• Security & Compliance: Partner with global engineering teams to strengthen architectural resilience, security posture, and operational maturity in PCI-DSS-regulated payment environments.
• Technical Leadership: Mentor engineers, eliminate operational toil through automation, and influence engineering teams to adopt resilience-by-design practices.

Requirements

• Experience: 8+ years of hands-on experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles supporting high-availability, mission-critical production systems.
• Core Technical Stack: Strong expertise in AWS (multi-account, EKS), Kubernetes, Terraform, PostgreSQL, Redis, Kafka, Linux, networking, and modern observability platforms (e.g., Coralogix, PagerDuty, Prometheus, Grafana).
• Database HA & DR: Proven experience with database high availability and disaster recovery , replication, failover, backup strategies, and hands-on restore operations.
• Distributed Systems Mastery: Deep understanding of distributed systems architecture, high availability, disaster recovery, capacity planning, and microservices orchestration.
• SRE Methodology: Deep knowledge of core SRE principles, including SLO/SLI design, error budget management, alert governance, and toil reduction.
• Location & Communication: Based in Hong Kong or Shenzhen. Excellent command of English (written and spoken) to lead cross-functional incident responses and collaborate seamlessly with global teams; Mandarin required for local collaboration.

Nice to Have

• Experience in payment, banking, fintech, or other highly regulated environments with strict PCI-DSS, security, and uptime standards.
• Experience with AI-assisted operations (AI agents for incident diagnosis, runbook automation).

Leadership & Operational Excellence

• Ownership: Demonstrates strong end-to-end accountability for service reliability and customer impact under high pressure.
• Structured Problem Solving: Applies a systematic and data-driven approach to troubleshooting, telemetry analysis, and incident resolution in complex distributed environments.
• Crisis Management: Proven ability to command cross-functional incident response efforts, align stakeholders, and maintain clear communication during critical outages.
• Engineering Culture: Champions a blameless post-incident culture, operational readiness, continuous learning, and technical mentorship.

Benefits

• Competitive package
• A dynamic and innovative team
• Collaborative, inclusive working environment where your contributions are recognized

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The salary range for this role is $99,000-$148,000.

Job Description

As an Enterprise Storage Architect, you will architect, deploy, and tune enterprise SAN and NAS solutions across NetApp, Pure Storage, and EMC/Isilon platforms that support engineering workloads globally.

Your responsibilities will include:

• Building automation for storage provisioning, monitoring, and management using Python, Perl, Bash, and Ansible to cut down manual work and keep things consistent
• Troubleshooting complex storage and Linux system issues,performance bottlenecks, connectivity problems, configuration drift across NFS, CIFS, iSCSI, FCP, and S3
• Designing and implementing storage solutions in public cloud environments, bringing together on-premises infrastructure with cloud-native storage services
• Leading storage architecture projects from evaluation through deployment, including capacity planning, vendor selection, migration execution, and mentoring junior engineers

Requirements

• 8+ years of hands-on experience architecting and managing enterprise SAN/NAS solutions in production environments
• Deep technical knowledge of NetApp, Pure Storage, and EMC/Isilon platforms,deployment, configuration, and performance optimization
• Strong Linux administration and troubleshooting skills, with the ability to diagnose complex system and storage issues at the OS and protocol level
• Real experience automating infrastructure tasks using Python, Perl, Bash, and Ansible in production environments, plus working knowledge of NFS, CIFS, iSCSI, FCP, and S3 protocols
• Experience with public cloud storage services (AWS, Azure, or GCP) and integrating cloud storage into hybrid architectures

Benefits

• Comprehensive medical and healthcare plans
• Time away programs, including ETO and FTO
• Family support, including maternity and paternity leave, parenting resources, adoption and surrogacy assistance
• ESPP, allowing purchase of Synopsys common stock at a 15% discount
• Retirement plans that vary by region and country

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EA's Central Technology Organization is a diverse group of engineering and AI disciplines working closely with teams across the company to power the future of interactive entertainment. Our mission is to partner with our global game studios and business units to deliver intelligent player experiences through advanced data platforms, agentic AI, and cutting-edge software engineering.

This technical role offers a unique opportunity to work on real-world enterprise AI and agentic data-engineering use cases, going far beyond typical classroom exercises. As a Data and AI Engineering Intern, you will own a meaningful deliverable from concept to completion, building an end-to-end AI-first prototype using LLMs, RAG, and modern cloud data platforms. In this role, you will design intelligent agents, collaborate with experienced AI practitioners, and show how AI-driven workflows can deliver tangible business value to EA.

This is a hybrid /in-office role based in Austin, TX. You will report into the Senior Solutions Architect.

Responsibilities:

• Develop AI Workflows: Build and evaluate LLM or agent workflows using prompts, RAG (Retrieval-Augmented Generation), APIs, tool calling, and structured outputs.
• Build Engineering Components: Develop reliable Python and SQL components, tools, and pipelines for data ingestion, transformation, validation, testing, and data-quality checks.
• Ensure Quality & Safety: Review AI outputs with mentors, implement safety safeguards/guardrails, document design decisions, and systematically evaluate agent performance.
• Own a Deliverable: Define expected outcomes for a scoped agentic data-engineering use case, deliver a functional prototype, and explain its business value to technical and business stakeholders.
• Collaborate & Learn: Participate in team meetings, pair programming, architecture reviews, and network with the broader EA engineering and data organization.
• Grow Technical Skills: Gain exposure to responsible AI, data security, privacy, cloud data engineering, and agile software development practices.

Qualifications:

• Currently pursuing a graduate degree in Computer Science, Data Engineering, Data Science, or a related technical field.
• Generative AI Exposure: Hands-on exposure to LLMs through coursework or projects, with the ability to clearly explain the use case, your individual contribution, approach, and results.
• Agentic AI Foundations: Basic knowledge of RAG, embeddings, tool/function calling, structured outputs, workflow orchestration, guardrails, or human-in-the-loop systems.
• Data Engineering Foundations: Familiarity with Python, SQL, relational databases, APIs, data transformation, and basic pipeline or ETL/ELT concepts.
• Agile Mindset: Evidence of self-directed learning, smart problem-solving skills, curiosity, and clear communication.
• Nice-to-Haves: Prior exposure to cloud data environments (e.g., Snowflake, AWS, Azure, GCP), Git, or Machine Learning (ML) is a bonus but not required.

You must be available for a full-time paid internship in the Summer of 2027

At this time, we are considering graduate students who will be enrolled in an accredited degree program in the summer of 2027, slated to graduate no earlier than December 2027. Applicants must be legally authorized to work in the United States on a full-time basis during the 12 week internship. Visa sponsorship is not available for this position.

Please ensure that your graduation date is visible on your resume.

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Overview of the Role As a Site Reliability Engineer, you will play a crucial role in building and operating Cells, which splits GitLab.com into many independent units, each with its own application and data stack, behind a shared routing layer. You will be responsible for provisioning cells, routing traffic to them, deploying them safely, and maintaining their reliability in production. Additionally, you will assist in moving customer organizations onto Cells, one of GitLab's key scaling initiatives.

Key Responsibilities

• Operate Cells in production, including on-call rotation, incident response, post-incident reviews, and driving corrective actions.
• Define and monitor service level objectives (SLOs) for routing and cell health, and develop associated dashboards, alerts, and runbooks.
• Provision and operate cell infrastructure on Amazon Web Services (AWS) and Google Cloud Platform (GCP), including Kubernetes, networking, Identity and Access Management (IAM), PostgreSQL, Redis, and object storage.
• Develop infrastructure as code using Terraform, Helm, and GitOps tooling such as Argo CD.
• Extend the global routing layer, built on Cloudflare Workers, Envoy, and a Go service backed by Cloud Spanner.
• Enhance CI/CD pipelines for ring-based deployments, covering promotion, database migrations, quality assurance validation, and rollback.
• Support organization migrations by preparing destination cells and assisting with dry runs and production cutovers.
• Collaborate with product teams to make their services cell-compatible and write documentation for others to operate Cells confidently.

Requirements

• Professional experience running production infrastructure at scale on AWS, GCP, or both, including Kubernetes, with strong Terraform and Helm skills.
• Proficiency in Go or strong experience in another systems language with a willingness to work in Go daily.
• Solid grounding in site reliability engineering (SRE) best practices, including SLOs, error budgets, blameless post-incident reviews, and automation.
• Experience owning services in production, including on-call, incident response, and monitoring with tools such as Prometheus and Grafana.
• Practical knowledge of progressive delivery and distributed-systems fundamentals.
• Experience working effectively in distributed, all-remote teams.

Benefits

• Benefits to support health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave

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The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers.

As a Staff Software Engineer, you will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems.

Responsibilities:

• Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work.
• Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling.
• Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state.
• Keep authorisation and sensitive writes behind application policy checks. Require evidence of the resulting state before marking work complete.
• Build evaluation datasets and replay tests for valid findings, access decisions, app setup and AI agent onboarding.
• Measure false positives, missed risks, unsafe actions, completion rate and cost. Turn production failures into regression tests.
• Test prompt injection, stale evidence, conflicting instructions and unsafe tool use. Protect tenant boundaries in retrieval and memory.
• Improve prompts, retrieval, tools and model routing. Evaluate fine-tuning or other post-training methods when results justify them and data use is approved.

Requirements:

• Strong Python engineering skills and experience shipping an LLM application that uses tools.
• Hands-on experience building agent workflows or evaluation systems for tool-using LLM applications.
• Experience integrating model APIs, structured outputs and asynchronous services. Experience with OpenAI or Anthropic is especially relevant.
• Depth in agent execution or evaluation systems, with working code and failure analysis you can explain.
• Ability to distinguish a plausible model response from a supported finding or verified action.

Benefits:

• Health, dental and vision insurance
• 401(k)
• Flexible spending account
• Paid leave (including PTO and parental leave)

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As a Senior Software Engineer at Okta, you will be responsible for building, maintaining, and improving our highly-automated build, release, and testing infrastructure. You will create and code tools for internal use to support continuous delivery, collaborate with cross-functional teams, and work with internal customers to roll out projects and processes.

Responsibilities:

• Develop and maintain our automated build, release, and testing infrastructure
• Create tools for internal use to support continuous delivery
• Collaborate with Development, QA, and Ops teams to innovate and enhance our build and automation infrastructure
• Work with internal customers to roll out projects and processes, monitor adoption, and collect feedback

Requirements:

• 3+ years of experience with one or more programming languages, including Python, Go, Java, or JavaScript
• Good understanding of application development, microservices architecture, and multi-service ecosystems
• Ability to coordinate cross-functional work towards task completion
• Understanding of Agile methodologies is a plus
• Experience working on AWS or Kubernetes is desirable
• Good understanding of virtualization, dynamic provisioning, Docker, AWS, and Linux
• B.S. Computer Science or equivalent

The Okta Experience offers various benefits, including supporting well-being, driving social impact, and developing talent and fostering connection within our community.

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You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts.

This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation.

Responsibilities

• Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts.
• Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases , from retrieval-augmented generation and agentic systems to fine-tuning and evaluation.
• Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect.
• Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for domains where quality and safety are paramount.
• Act as a bridge to Product and Engineering , channel field and customer feedback into the roadmap and represent the roadmap back to the field.
• Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation.
• Represent Databricks externally as a technical thought leader , conference talks (e.g., Data + AI Summit), blogs, and customer executive briefings.

Requirements

• Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases, and to articulate a clear, informed point of view (POV) to customers.
• Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety.
• Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring).
• Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations.
• Experience with the Databricks platform , or the ability to ramp on it quickly , including Mosaic AI, Model Serving, Vector Search, and Unity Catalog. Cloud experience across AWS, Azure, or GCP.
• Excellent communication and consultative skills: able to earn the trust of both hands-on engineers and senior technical executives, and to explain complex GenAI trade-offs clearly.
• A track record of technical leadership and mentorship , someone who elevates the people around them.
• Comfort operating at the pace of digital-native and high-growth customers, where speed, iteration, and technical credibility win the deal.
• Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed.
• Background helping digital-native customers build data and ML solutions (e.g., prior experience at a data/ML platform or consulting vendor) is a strong plus.

Nice to Have

• Public technical presence: conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space.
• Domain depth in a regulated or high-stakes industry (healthcare/life sciences, financial services) where model quality, evaluation, and safety are critical.
• Experience partnering with Product and Engineering teams to influence roadmap.

Why This Role

You will work on the hardest and most exciting GenAI problems our EMEA Emerging DNB customers have , companies building the future in real time , with the platform and the people to actually solve them, not just advise. You'll shape how one of EMEA's highest-growth business units adopts Generative AI, influence the direction of the product, and build a public profile as a recognised expert in the field. This is the role for a builder and a teacher, who wants their expertise to have outsized impact.

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Responsibilities:

• Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams.
• Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more Ford Pro verticals.
• Build cloud-native services and APIs to support and expose data-driven solutions.
• Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions.
• Design, build and launch shared data services to be leveraged by the internal and external partner developer community.
• Building out scalable data pipelines and choosing the right tools for the right job. Manage, optimize and Monitor data pipelines.

Qualifications:

• Bachelor's Degree
• 3+ years of experience with SQL and Python
• 2+ years of experience with GCP or AWS cloud services
• 3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
• Comfortable with a broad array of relational and non-relational databases.
• Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse)

Preferred Skills:

• Experience with GCP cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions and Pub/Sub.
• Inquisitive, proactive, and interested in learning new tools and techniques.
• Familiarity with big data and machine learning tools and platforms.

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Responsibilities:

• Lead a team to meet delivery requirements of packaging designs for new model studies and implementation
• Drive the team towards meeting customer requirements on packaging design
• Collaborate with skill teams and coordinate with plants packaging engineers and MFE team to get required inputs for packaging design
• Benchmark NA, EU, and IMG plant packaging and incorporate best-in-class design for the program
• Ensure optimized design for packaging, imparting design for manufacturing, design for logistics, and design for ergo concepts
• Simulate and identify the best packaging for each part and implement through a standardized process using Pack Assistant Tool
• Perform reuse assessment for current assets (packaging CAD) and recommend the level of modification to suit new program parts
• Support implementation team and supplier by clarifying doubts on packaging design
• Coordinate physical testing of packaging at DTC or third-party supplier to ensure robust design
• Deliver packaging 3D models to support VET team for virtual build and virtual CLL
• Validate supplier packaging design in terms of cost and ergo to achieve efficient packaging design
• Continuously evaluate existing packaging designs and provide input to maximize container and packaging cube utilization
• Drive environmental packaging solutions wherever possible

Technical Skills:

• Exposure to product development, packaging engineering, packaging materials standards (steel, plastics, cardboard, foam, elastomers), manufacturing processes, GD&T, and material flow processes
• Experience with design tools like CATIA, 3DX, Teamcenter, Vismocup, and AWS

Qualifications:

• Any engineering or post-graduate with logistics and supply chain experience is preferred

Job Information:

• Job Identification: 72405
• Job Category: Manufacturing
• Posting Date: 10/15/2026
• Apply Before: 10/19/2026
• Degree Level: Bachelor's Degree or equivalent
• Job Schedule: Full-time
• Locations: 15 Plot No 13, Chennai, TN, 600119, IN (Hybrid)

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You will build, enhance, and support applications deployed in cloud environments while ensuring alignment with business and technical requirements. You will collaborate with cross-functional teams to deliver reliable and high-quality software solutions.

Responsibilities

• Engage with customers to understand business use cases and requirements.
• Analyze complex problems and design, develop, and deliver appropriate technical solutions.
• Design, develop, test, and deliver high-quality applications using Java.
• Develop and maintain back-end applications, APIs, and services.
• Work with SQL or PLSQL and PostgreSQL or BigQuery for data storage and retrieval.
• Develop and support applications in GCP or AWS environments.
• Work with OpenShift and GECHub for application and platform-related activities.
• Use Dynatrace for application monitoring and troubleshooting.
• Work with ServiceNow and JIRA for application support and delivery activities.
• Collaborate with cross-functional teams to deliver solutions aligned with business requirements.
• Lead troubleshooting efforts and resolve complex technical issues.
• Perform problem analysis and implement solutions based on business requirements.

Qualifications

Mandatory Skills

• Bachelor's degree in Engineering or Technology (B.E./B.Tech).
• 6+ years of experience as a Software Developer.
• Programming: Java
• Databases: SQL or PLSQL; PostgreSQL or BigQuery
• Cloud: GCP or AWS
• Platforms: OpenShift, GECHub
• Tools: Dynatrace, ServiceNow, JIRA
• Experience working in an Agile environment.

Preferred Skills – Nice to Have

• Programming: Groovy, JCL
• Database: Database Security Controls, Database Auditing
• Cloud & Migration: GCP Migration
• Development Tool: IntelliJ IDEA
• Operations & Security: SFTP Migration, Credential Management, Fleet Applications, SCRP Reviews, PwC Audit Support
• Configuration / Integration: JSON and YAML concepts; API troubleshooting
• Container / Delivery Knowledge: OpenShift, Kubernetes concepts, Docker concepts, Helm / Operators concepts, CI/CD concepts

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Principal responsibilities:

• Develop and communicate a clear technology delivery strategy aligned with business objectives.
• Collaborate with senior leadership to define technology roadmaps and prioritize initiatives.
• Drive innovation, process improvements, and best practices within the technology delivery function.
• Ensure projects are delivered on time, within scope, and within budget.
• Mitigate risks, resolve issues, and manage project dependencies.
• Responsible for delivering in line with global patterns and strategies where appropriate and to align business requirements to technology solutions, aligning to architecture direction and roadmap.
• Provide consistent end to end solution designs which will deliver expected Business Outcomes, satisfy all relevant regulatory requirements and mitigate identified operational risk.
• Provides architectural management across a portfolio of change.
• Provide clear guidance and direction to Technical leads that affect a journey or prioritization in QBR sessions.
• Works across Value Stream and Sub-Value Streams (SVS) to identify and manage dependencies where they enter and exit VS and SVS.
• Minimize / avoid technology debts & ensure clear communication to SVS leadership and pods alike; escalate as required via VS lead architect.
• Clearly document all risks, issues, dependencies and communicate effectively and document via agreed Architecture Operating Model Requirements.

To be successful in this role you should have:

• Proven experience in designing and managing ETL solutions, including data modeling, data warehousing, SQL development, and business intelligence.
• Knowledge of cloud providers (AWS and GCP preferred), what technologies they provide, and the use cases they serve.
• Ability to understand business issues and devise solutions that deliver results, constructing innovative approaches where required.
• Strong leadership skills, team-builder, and influencer.
• Experience architecting in an DevOps and agile environments.
• Gravitas and ability to interact with and advise senior executives.
• Mentor and coach less experienced members of staff and promote an understanding of the value of data architecture and of use of technologies and standards in their domain across IT.
• Build strong relationships with engineering and operations teams aligned to the relevant area, particularly the designers within these teams.
• Design for resilience e.g. catering for tiered service levels and operational or regulatory imperatives or KPIs.
• Applying architectural risk management techniques and decision-making principles (in an agile control environment).
• Design solutions that balance flexibility and affordability but without compromising architectural integrity.
• Ensure preparedness for effective regulatory, audit & security controls purposes.

You'll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count.

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Responsibilities:

• Develop the next-generation pipeline to build, release, and test Tanium products and services with a cross-functional engineering team.
• Support existing efforts to deploy and maintain CI/CD pipelines across multiple environments.
• Deploy and maintain critical applications on cloud-native microservices architecture.
• Collaborate with product security teams to build tools to identify and remediate security vulnerabilities.
• Design systems to monitor critical infrastructure, plan for future needs, and rapidly respond to incidents.
• Iterate on best practices to increase the quality and velocity of deployments.
• Plan, execute, and support scheduled major improvements to infrastructure.

Requirements:

• 5+ years of experience in software development, DevOps, or SRE role.
• 5+ years of experience managing cloud-based services with AWS, GCP, or Azure (AWS preferred).
• 3+ years of experience with Infrastructure as Code with Pulumi or Terraform (Pulumi preferred).
• 3+ years of Docker/Kubernetes experience in production environment.
• Deep understanding of networking, with the ability to build and maintain complex networks.
• 3+ years of experience writing software that utilises 3rd party APIs (Go preferred).
• Experience with Ansible, Puppet, Chef, or another config management suite.
• Experience with modern software engineering development and automation tools (Git, GitHub Actions, JIRA).
• Experience with virtualisation technologies (VirtualBox, VMWare Fusion, vCenter).
• Experience with hybrid cloud environments.
• Experience managing metrics gathering and reporting systems (Grafana, Prometheus, InfluxDB).
• Experience with Linux environments.

Benefits:

• Annual base salary range: $180,000 to $270,000.
• Equity awards.
• Generous benefits package consisting of medical, dental, and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident, and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.
• 5 days set aside as volunteer time off (VTO) to contribute to the communities.

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Responsibilities:

• Develop the next-generation pipeline to build, release, and test Tanium products and services with a cross-functional engineering team.
• Support existing efforts to deploy and maintain CI/CD pipelines across multiple environments.
• Deploy and maintain critical applications on cloud-native microservices architecture.
• Collaborate with product security teams to build tools to identify and remediate security vulnerabilities.
• Design systems to monitor critical infrastructure, plan for future needs, and respond rapidly to incidents.
• Improve deployment quality and velocity by iterating on best practices.
• Plan, execute, and support scheduled major improvements to infrastructure.

Requirements:

• 5+ years of experience in software development, DevOps, or SRE roles.
• 5+ years of experience managing cloud-based services with AWS, GCP, or Azure (AWS preferred).
• 3+ years of experience with Infrastructure as Code using Pulumi or Terraform (Pulumi preferred).
• 3+ years of experience with Docker/Kubernetes in production environments.
• Strong understanding of networking and ability to build and maintain complex networks.
• 3+ years of experience writing software that utilises 3rd party APIs (Go preferred).
• Experience with Ansible, Puppet, Chef, or another config management suite.
• Familiarity with modern software engineering development and automation tools (Git, GitHub Actions, JIRA).
• Experience with virtualisation technologies (VirtualBox, VMWare Fusion, vCenter).
• Experience with hybrid cloud environments.
• Experience managing metrics gathering and reporting systems (Grafana, Prometheus, InfluxDB).
• Experience with Linux environments.

Benefits:

• Annual base salary range: $180,000 to $270,000.
• Equity awards.
• Medical, dental, and vision plans.
• Family planning benefits.
• Health savings account.
• Flexible spending account.
• Transportation savings account.
• 401(k) retirement savings plan with company match.
• Life, accident, and disability coverage.
• Business travel accident insurance.
• Employee assistance programs.
• Disability insurance.
• Other well-being benefits.
• 5 days of volunteer time off (VTO) per year.

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As a hands-on Tech Lead Manager for one of our core services teams, you will have the unique opportunity to contribute to the design and development of some of our early-stage, innovative products.

Responsibilities:

• Partner closely with product and other engineering teams to improve business metrics and build new features.
• Drive the design and implementation of new product areas and features.
• Guide your team through ambiguity and ensure technical excellence through rapid experimentation cycles.
• Guide your team to strong execution,make pragmatic decisions, help them launch MVPs quickly, and iterate based on feedback.
• Lead your team through frequent pivots and evolving priorities in a fast-changing environment.
• Recruit other great engineers for your team and support recruiting efforts across teams.
• Mentor and coach the engineers on your team.
• Manage cross-functional relationships with all teams to deliver high-quality products.

Requirements:

• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience
• 7+ years of software engineering experience, including 2+ years leading a small team as a manager or tech lead manager
• You're just as energized diving into architecture, writing clean, scalable code, and solving challenging technical problems as you are mentoring engineers, shaping team culture, and driving delivery.
• You can work comfortably with a cross-functional team of PMs, Analysts, and mobile and back-end-focused engineers.
• You have led a team that consistently delivered high-quality output on critical infrastructure projects.
• You are a creative, tenacious problem solver with a get-it-done attitude
• You tend to be the standard bearer who takes a great deal of pride in your work and can inspire others to rise to the occasion
• You can create and maintain a positive, healthy team environment in which everyone is supported, encouraged, and meaningfully challenged to do great work

Preferred tech skills: C#, .NET/.NET Core, Kotlin, Python, SQL, Databricks, AWS, REST APIs, microservices, distributed systems, Kafka, CI/CD, Git, Docker, Kubernetes, and cloud-native development.

Benefits:

• Excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ.

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Key Responsibilities & Capabilities:

• Define and lead enterprise FinOps strategies across public cloud environments (AWS, Azure, and/or Google Cloud)
• Advise senior technology, finance, and business stakeholders on cloud cost governance and value optimisation
• Design and implement FinOps operating models, including chargeback/showback, budgeting, forecasting, and cost allocation
• Establish KPIs, dashboards, and reporting to provide transparency into cloud spend, efficiency, and business value
• Lead optimisation initiatives including rightsizing, rate optimisation, commitment management, and workload efficiency
• Embed cost-aware practices into architecture, platform, and engineering design decisions
• Support large-scale cloud migrations and modernisation programmes from a financial and value perspective
• Contribute to proposals, client engagements, and offerings within the Cloud & Infrastructure capability

Requirements:

• Bachelor’s degree from an accredited university
• Strong experience across cloud, financial management, technology consulting, or related disciplines
• Strong practical experience applying FinOps principles at enterprise scale
• Hands-on experience with cloud cost management, budgeting, forecasting, and optimisation
• Experience operating across multi-cloud environments (AWS, Azure, GCP)
• Strong communication skills and ability to engage confidently with senior technical and non-technical stakeholders

Preferred / Desirable Experience:

• Experience of Commercial FinOps vendors/platforms
• FinOps Foundation certifications (Practitioner or Professional)
• Experience aligning cloud spend to business value and investment decision-making
• Familiarity with FinOps tooling ecosystems and native cloud cost management services
• Experience working within regulated or complex enterprise environments
• Experience with Technology Business Management (TBM) frameworks
• Remediation strategies, including the use of automation to prevent, detect, and correct cost inefficiencies and policy breaches

Benefits:

• Industry-leading compensation and benefits
• Top training and development opportunities

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You have spent a decade building systems that need to stay up, not just run, actually stay up, under production load with real users depending on them.

At Synopsys, you will build the observability backbone that keeps our Cloud and on-prem production systems visible, reliable, and ready for what comes next.

What You'll Be Doing

• Design, build, and own the SRE and Observability platform that monitors production systems across on-prem and Azure Cloud environments, giving engineering and operations teams a real-time, holistic view of system health
• Partner with product, infrastructure, and application teams to define SLAs, SLIs, SLOs, error budgets, and KPIs that actually matter, then instrument systems to track them
• Automate deployment and configuration of monitoring tools using Terraform, Ansible, Bash, and Python to eliminate manual toil and reduce configuration drift
• Build custom scripts and tooling to extend observability capabilities, including proactive remediation workflows and self-healing automation that catches issues before they become incidents
• Lead root cause analysis on production incidents, write detailed postmortems for stakeholders, and drive systemic fixes that prevent recurrence
• Mentor junior SREs and Cloud Operations engineers, providing technical guidance on Linux systems, observability tooling, and SRE best practices
• Evaluate, test, and integrate new observability and reliability tools and technologies, including AI-assisted monitoring, copilots, and emerging patterns like MCP and RAG

The Impact You Will Have

• Production systems across Synopsys Cloud will be more visible, more reliable, and easier to debug because of the observability platform you build
• Engineering teams will spend less time firefighting and more time building because your automation catches problems early and fixes them without human intervention
• Incident response times will drop because the right data will be surfaced at the right time, and teams will know what to look at first
• SRE practices will become embedded across the organization as you define KPIs, error budgets, and reliability standards that other teams adopt
• Junior engineers will grow faster because you will teach them how to think about reliability, not just react to alerts
• The Cloud Operations team will scale more effectively because repeatable, automated workflows replace one-off manual fixes
• Stakeholders will have confidence in production stability because postmortems and reliability metrics will be clear, honest, and actionable

What You'll Need

• 10+ years of hands-on experience in software development, system administration, or site reliability engineering with a focus on production systems
• Deep expertise in Linux OS internals, networking, and NFS technologies, you should be able to troubleshoot kernel-level issues and performance bottlenecks
• Strong experience with Elasticsearch for log aggregation and search, this is non-negotiable for the role
• Solid programming and scripting skills in Bash and Python, with proven ability to build automation that runs in production
• Hands-on experience with infrastructure as code using Terraform and configuration management using Ansible
• Expertise in at least one major cloud platform, Azure strongly preferred, AWS or GCP also relevant
• Experience working with EDA workloads and job schedulers like Grid Engine, LSF, or SLURM in production environments, experience with Prometheus and Grafana is a strong plus, familiarity with Docker, Swarm, or Kubernetes is helpful but not required

Rewards and Benefits

• Comprehensive medical and healthcare plans that work for you and your family
• In addition to company holidays, we have ETO and FTO Programs
• Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more
• Purchase Synopsys common stock at a 15% discount, with a 24-month look-back
• Save for your future with our retirement plans that vary by region and country
• Competitive salaries

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Data Engineering is the foundation all of that runs on. Databricks on AWS is our single foundation, with dbt for modelling, Fivetran for SaaS sources and AWS services for internal sources.

As a Data Engineering Manager, you will:

• Set the direction for Data Engineering and communicate it
• Build a shared roadmap with the Head of Platform Engineering and Head of Product for Platform
• Put governance in place that people and AI can follow
• Make AI part of how the team works
• Own our Fivetran relationship and its cost
• Lead, coach and grow the team

Requirements:

• Experience leading data engineering initiatives and setting technical direction
• Deep experience with a modern lakehouse, ideally Databricks and Unity Catalog, and with dbt
• Comfortable on AWS and with infrastructure as code (Terraform)
• Strong grounding in ingestion and integration patterns
• Practical data governance
• Experience using AI tools in engineering work

Nice to Have:

• Fivetran, RudderStack or similar ingestion and reverse ETL tools
• Experience running vendor relationships and contract renewals for data tooling
• Exposure to Model Context Protocol (MCP) servers or similar agent tooling
• Experience in property, marketplaces or other data-rich consumer businesses

Benefits:

• Hybrid working setup with 3 days in the office per week
• 25 days annual leave + additional leave benefits
• Cycle to work and electric car schemes
• Free Calm App membership
• Enhanced Parental leave
• Fertility Treatment Financial Support
• Group Income Protection and private medical insurance
• Gym on-site in London
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary

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Responsibilities:

• Owning Data Engineering projects end to end, from technical direction to business impact.
• Designing and building standard ingestion and export patterns, and moving existing pipelines onto them.
• Building governance into every pipeline: access, personal data, lineage, and cost.
• Using AI to make patterns faster to apply, and helping bring Data Engineering into our software factory.
• Reviewing code, mentoring other engineers, and sharing knowledge.
• Taking your share of keeping production healthy.

Requirements:

• Substantial experience building and running production data pipelines.
• Strong Python and SQL skills.
• Deep experience with a modern lakehouse, ideally Databricks and Unity Catalog, and with dbt.
• Comfortable on AWS and with infrastructure as code (Terraform).
• Strong grounding in ingestion and integration patterns.

Benefits:

• Hybrid working setup with 3 days in the office per week.
• 25 days annual leave + additional leave benefits.
• Cycle to work and electric car schemes.
• Free Calm App membership.
• Enhanced Parental leave.
• Fertility Treatment Financial Support.
• Group Income Protection and private medical insurance.
• Gym on-site in London.
• 7.5% pension contribution by the company.
• Discretionary annual bonus up to 10% of base salary

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As a Strategic Enterprise Account Executive, you will bring an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space to guide your successful strategy and provide exceptional value to our customers within the FSI sector in France.

Key responsibilities:

• Provide industry insight and business creativity to design and develop unique use cases and solutions that differentiate Databricks within the FSI segment.
• Co-develop a business plan with your team and ecosystem partners to accelerate existing customer success, identify and acquire new opportunities, and exceed quarterly/annual usage and booking goals.
• Motivate a diverse team of big data and AI professionals to implement your business plan.
• Lead your team, customers, and partners to identify impactful big data and AI use cases and prove their value on the Databricks Data Intelligence Platform.
• Support the broader big data and AI transformation goals of your customers through strategic partnerships, professional services, training, and Executive engagement.
• Build exceptional value with all engagements to guide successful negotiations to close.

Requirements:

• Experience in direct sales of enterprise software platforms to large enterprises.
• Ownership of executive-level relationships in your clients.
• Extensive experience working with large complex regulated organisations.
• Knowledge of the Data & AI space with technology sales experience.
• Longevity with previous employers.
• Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts.
• Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure, and Google Cloud teams.
• Familiarity with sales methodologies and processes (e.g., Territory and Account planning, MEDDPICC, Challenger Sales, and Command of the Message).
• Experience developing partnerships with "champions" and client teams to support execution of your territory plan.
• Experience developing a clear partner strategy and implementing it to achieve success.
• Understanding of consumption-based, land and expand sales models.
• Understanding of how to identify important use cases and buying centres to increase the impact of Databricks for clients.
• Fluent French and business English.

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees.

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Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark and modern streaming frameworks.

In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialisation; whether in real-time streaming, performance optimisation, or operational data layers, while expanding your impact across Field Engineering.

The impact you will have:

• Drive Technical Wins & Scope: Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins.
• Architect Production Data Systems: Design, build, and optimise scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks.
• Deploy Interactive Data Applications: Build and operationalise custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools.
• AI-Native Engineering: Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs.
• Enablement & Domain Leadership: Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams.

What we look for:

• Deep Data Engineering Expertise: 5+ years in data or software engineering with hands-on proficiency in distributed processing (Apache Spark, Delta Lake, SDP) and real-time streaming technologies (Spark Streaming, Kafka, CDC).
• AI-First Builder Mindset: Demonstrated daily reliance on AI coding tools and LLMs to accelerate pipeline development, troubleshooting, and asset generation.
• Production Programming & Foundations: Strong production coding skills in Python, SQL, and Scala or Java, with a solid grasp of data modelling and system design fundamentals.
• Customer Advisory & Delivery: 5+ years in pre-sales or post-sales technical consulting, managing customer engagements and navigating multi-stakeholder technical discussions.
• Operational & HTAP Architectures: Practical experience with operational/transactional data layers (Postgres/OLTP), low-latency serving, reverse ETL, and hybrid transactional/analytical processing.

Nice to haves:

• Cloud & Migration Mastery: Hands-on experience with major cloud platforms (AWS, Azure, GCP) and legacy data lake modernisation (e.g., Hadoop migration and cost optimisation).
• Application Experience: Background in constructing specialised data applications (e.g., risk modelling, fraud detection, customer lifetime value) across industries as a data expert.
• Ecosystem & Culture Contribution: Active track record of technical community engagement, public speaking, open-source contributions, or peer mentoring and interviewing.
• Flexibility & Travel: Ability to travel up to 30% for strategic customer engagements and internal alignment.

Notes on the role:

• This will be an office-based contract (Amsterdam), with a hybrid schedule, requiring up to 30% travel when needed for customer visits, events & trainings.
• An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.

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Responsibilities:

• Conduct weekly face-to-face training sessions for NVIDIA's partners, with a willingness to travel up to 25% as needed.
• Develop and refine training materials centered on AI and data center technologies and sales motions, ensuring content aligns with company strategy.
• Build engaging lab-based training and interactive hands-on demos and exercises showcasing NVIDIA's AI technologies and the latest AI solutions in the market.
• Actively listen to the workshop audience, understand their concerns and questions, and translate their feedback into actionable ideas to enhance training content.
• Support programmatic aspects of workshop planning and delivery, and develop instructor delivery notes and assessment materials.

Requirements:

• BS/MS or equivalent experience in computer science, mathematics, engineering, or a comparable depth of knowledge and background.
• 12+ years in technical sales, pre-sales, solutions architecture, or similar customer-facing technical positions. At least 5 years passionate about infrastructure systems supporting AI, like accelerated computing, networking, or storage.
• Solid proficiency with AI concepts, including Machine Learning, Generative AI, and Agentic AI, with the ability to communicate technical concepts effectively to technical sales audiences.
• Skilled at delivering engaging training sessions and presentations.
• Proven expertise using AI tools, autonomous workflows and frontier models to develop training content, build interactive presentations and practical labs, and accelerate work.
• Strong communication, interpersonal, and writing skills in English.
• Ability to work multi-functionally across different levels of a matrixed organization.

Preferred Qualifications:

• Experience developing and delivering in-depth training for field sales and technical audiences, including channel partners.
• Familiarity with the NVIDIA partner ecosystem, hardware platforms, and the software stack from CUDA and CUDA-X through NeMo and the enterprise AI solutions provided by NVIDIA.
• Hands-on experience with agentic workflows and coding agents; tools such as Kubernetes, Docker, Git, Python, CUDA, RAPIDS, and TensorRT; and cloud service providers (AWS, Azure, GCP).

The base salary range for this position is $200,000 - $322,000 per year. NVIDIA is an equal opportunity employer and welcomes applications from diverse candidates.

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As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy.

Responsibilities:

• Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies.
• Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
• Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
• Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI.
• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
• Effective time management and capable of balancing multiple tasks.
• Ability to communicate ideas clearly through documents, presentation, etc.

Preferred Qualifications:

• AWS, GCP, Azure or OCI Professional Solution Architect Certifications.
• Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.).
• Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
• Solid working knowledge of Python.
• System-level experience, specifically GPU-based systems.

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

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Principal Responsibilities

• Design, build, and ship production-quality services in line with technology standards, governance, and business controls.
• Assist with the design, iteration, and optimisation of prompts for a wide range of LLM use cases,instruction following, structured output generation, classification, summarisation, code generation, and reasoning tasks.
• Build and manage prompt libraries and versioning strategies, treating prompts as first-class engineering artefacts.
• Collaborate with product and domain teams to translate business requirements into precise, well-structured prompt specifications.

Agentic AI & LLM Integration

• Support and drive the implementation, and maintenance of agentic systems,autonomous agents, multi-agent pipelines, tool-use workflows, planning loops, and memory-augmented reasoning.
• Implement LLM observability (logging, tracing, evaluation pipelines, and guardrails) to maintain quality and reliability in production AI systems.
• Advise on responsible AI deployment, including output validation, human-in-the-loop design, and risk mitigation for agentic workflows.

Team Leadership, Product/Agile Partnership & Global Engagement

• Serve as part of the local team engineering leadership, helping set direction, priorities, and delivery standards for the engineering pods within Fincrime Investigations value stream.
• Partner closely with Product Management to clarify value, scope, and success measures; contribute to discovery, solution options, and delivery plans.
• Work day-to-day with agile delivery partners (e.g., Scrum Masters/Delivery Leads) to maintain a healthy delivery cadence, manage dependencies, and ensure transparent reporting of progress, risks, and blockers.

Requirements

• Full-Stack Engineering

+ Strong proficiency in Java / Spring Boot,REST APIs, event-driven services, security, and performance optimisation. + Solid React development skills and API integration. + Experience with relational and in-memory databases (PostgreSQL, Redis). + Messaging and streaming platforms,Kafka (or equivalent).

• Prompt Engineering

+ Demonstrable, hands-on experience engineering prompts for production LLM applications (not just prototypes). + Understanding of tokenisation, context limits, temperature tuning, and model-specific behaviours across major LLM providers. + Experience structuring prompts for tool/function calling, structured JSON output, and multi-turn conversations.

• DevOps & Infrastructure

+ Kubernetes,deployments, services, ingress, Helm, Kustomize, HPA, and RBAC. + CI/CD pipelines,GitHub Actions, Jenkins, or equivalent. + Infrastructure as code,Terraform. + Cloud platforms,AWS, AliCloud, GCP, or Azure.

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Principal responsibilities:

• Technical Leadership: Act as a hands-on lead developer, guiding the team in designing, developing, and deploying high-quality software solutions. Provide technical mentorship to a team of multiple teams of developers, ensuring best practices in coding, design, and architecture. Drive the adoption of modern development frameworks, tools, and methodologies.
• Product Development: Collaborate with stakeholders to understand technical and customer needs, aligning them with the product vision. Take ownership of greenfield projects, leading them from inception to production release. Ensure the delivery of scalable, secure, and maintainable solutions that meet business requirements.
• System Design and Implementation: Architect and implement solutions using Java, Spring Framework, and Spring Integration. Design and integrate secure authentication mechanisms using OAuth 2.0. Develop and maintain robust data storage solutions using MongoDB.
• Cloud and DevOps: Leverage AWS services to build and deploy cloud-native applications. Implement containerized solutions using Kubernetes for scalability and reliability. Create and maintain CI/CD pipelines using Jenkins to ensure smooth deployment processes.
• Collaboration and Communication: Work closely with cross-functional teams, including product managers, QA engineers, and operations teams. Communicate effectively with stakeholders, providing updates on project progress and technical challenges.

Requirements:

• Technical Expertise: At least 8 years of hands-on experience in 5 or more of the following technologies: Java, Spring Framework (including Spring Integration), OAuth 2.0, MongoDB, AWS, Kubernetes and Jenkins Pipeline.
• Leadership Skills: Proven experience leading a team of multiple teams of developers, providing technical guidance and fostering a collaborative environment. Ability to mentor junior developers and ensure adherence to coding standards and best practices.
• Product Ownership: Strong product owner mentality, with a focus on understanding technical and customer needs while aligning with the product vision. Experience in delivering greenfield projects from concept to production release.
• Problem-Solving and Communication: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues. Excellent communication skills, capable of articulating technical concepts to both technical and non-technical stakeholders.

Additional Skills (Preferred but not mandatory):

• Experience with microservices architecture. Familiarity with other cloud platforms (e.g., Azure, GCP). Knowledge of front-end technologies (e.g., React, Angular) is a plus.

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Responsibilities:

• Design and run disaster recovery programmes, setting ambitious recovery targets and testing against them regularly.
• Define SLAs and SLOs with each product team, and build the tooling to track them by product and customer.
• Own how we detect, respond to and learn from incidents, including alerting design, the incident process and post-mortems, and our on-call process.
• Build AI-assisted investigation and auto-resolution, from agent-led diagnosis to automated remediation.
• Embed with product teams to shape architecture and engineering practices for resilience at scale.

Requirements:

• Hands-on experience running production systems at scale as an SRE, infrastructure engineer or similar, with a track record of measurably improving reliability.
• A strong background in backend development, and a habit of solving reliability problems with code and automation.
• Experience owning incident response, on-call and post-mortems, and driving fixes through to completion.
• Experience with observability and alerting, and with defining and tracking SLOs or SLAs.
• Solid grounding in Kubernetes and cloud infrastructure (GCP and AWS preferred).

What we offer:

• Innovative culture.
• Growth paths.
• Learning & development.
• Social travel.
• Annual company offsite.
• Co-working.

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Reliability & Operations

• Design, build, and operate large-scale cloud infrastructure and production services.
• Participate in on-call rotations supporting highly available customer-facing systems.
• Lead incident response efforts and drive post-incident reviews focused on systemic improvements.
• Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
• Partner with engineering teams to improve service availability, scalability, performance, and resilience.
• Continuously improve observability through metrics, logging, tracing, dashboards, and alerting.

Engineering & Automation

• Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies.
• Eliminate operational toil through automation, tooling, and platform engineering.
• Improve deployment safety and operational workflows through CI/CD and GitOps practices.
• Collaborate on modernizing existing workloads and aligning them with evolving platform capabilities.
• Build self-service platforms, operational guardrails, and automation that improve developer velocity while maintaining reliability and security.

Technical Excellence

• Strong experience operating large-scale production services in AWS and/or GCP.
• Deep expertise with Kubernetes in production environments.
• Experience troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle issues.
• Extensive experience with Infrastructure as Code technologies such as Terraform and Helm.
• Strong software engineering skills in Golang and/or Python.
• Experience building automation and internal engineering platforms.
• Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies.
• Strong understanding of cloud networking fundamentals including DNS, load balancing, ingress, TLS, service networking, and traffic management.
• Experience with observability platforms, monitoring strategies, and production telemetry.
• Experience with or strong interest in AI-assisted engineering and operational automation.

Operational Excellence

• Strong expertise operating customer-facing production systems.
• Experience leading incident response and driving operational improvements.
• Deep understanding of reliability engineering concepts including SLIs, SLOs, error budgets, and capacity planning.
• Strong understanding of CI/CD pipelines, deployment strategies, and automation-first operational practices.
• Proven ability to balance reliability, scalability, security, and engineering velocity.

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We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely.

Reliability & Operations

• Design, build, and operate large-scale cloud infrastructure and production services.
• Participate in an on-call rotation supporting highly available customer-facing systems.
• Lead incident response efforts and drive post-incident reviews focused on systemic improvements.
• Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
• Partner with engineering teams to improve service availability, scalability, performance, and resilience.
• Continuously improve observability through metrics, logging, tracing, dashboards, and alerting.

Engineering & Automation

• Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies.
• Eliminate operational toil through automation, tooling, and platform engineering.
• Improve deployment safety and operational workflows through CI/CD and GitOps practices.
• Collaborate on modernizing existing workloads and aligning them with evolving platform capabilities.
• Build self-service platforms, operational guardrails, and automation that improve developer velocity while maintaining reliability and security.

What We Are Looking For

Technical Excellence

• Strong experience operating large-scale production services in AWS and/or GCP.
• Deep expertise with Kubernetes in production environments.
• Experience troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle issues.
• Extensive experience with Infrastructure as Code technologies such as Terraform and Helm.
• Strong software engineering skills in Golang and/or Python.
• Experience building automation and internal engineering platforms.
• Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies.
• Strong understanding of cloud networking fundamentals including DNS, load balancing, ingress, TLS, service networking, and traffic management.
• Experience with observability platforms, monitoring strategies, and production telemetry.
• Experience with or strong interest in AI-assisted engineering and operational automation.

Operational Excellence

• Strong expertise operating customer-facing production systems.
• Experience leading incident response and driving operational improvements.
• Deep understanding of reliability engineering concepts including SLIs, SLOs, error budgets, and capacity planning.
• Strong understanding of CI/CD pipelines, deployment strategies, and automation-first operational practices.
• Proven ability to balance reliability, scalability, security, and engineering velocity.

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At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

As a Software Engineer, Enterprise Apps on the CX Shared Agent Platforms and SFDC Solutions team within Coinbase's Enterprise Applications and Architecture org, you'll build the platforms and services that power customer experience and compliance operations across Coinbase.

Responsibilities

• Build and ship full-stack services and applications using Golang, gRPC, TypeScript, and React to support CX agent workflows and automation.
• Own the design, implementation, and integration of third-party platforms (Salesforce, Maestro QA, Assembled) that extend Coinbase's internal CX tooling capabilities.
• Drive platform modernization efforts, including support for strategic platform transitions and evolving the agent platform landscape.
• Partner with product, design, security, and data teams to deliver cross-functional solutions to complex operational and compliance challenges.
• Lead code reviews, architecture discussions, and testing practices that raise the quality bar across the team and support reliable, high-traffic production systems.
• Identify and mitigate technical risks during design and implementation, proactively adapting approaches to maintain platform reliability.

Requirements

• 5+ years of experience in software engineering, with proficiency in Go and hands-on experience building scalable backend services using gRPC and event-driven architectures (Kafka or similar).
• Demonstrated full-stack development capability with TypeScript/JavaScript and modern component-based frameworks (React), delivering production-quality applications.
• Experience operating production systems on AWS with Kubernetes, Terraform, and CI/CD pipelines (BuildKite or similar), including implementation of rate limiters, caching, load balancing, and observability tooling.
• Proven track record evaluating, integrating, and extending third-party SaaS platforms in a production enterprise environment.
• Experience mentoring engineers on design patterns, testing practices, and deployment processes in a distributed, multi-timezone team.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Salary

The target annual base salary for this position can range from R$341,240 to R$359,200 BRL.

Benefits

• Medical, dental, and vision benefits
• Equity and bonus eligibility

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You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization
• Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production
• Provide tutorials and training to improve community adoption
• Contribute to the Databricks Community

What we look for:

• 5+ years experience in a technical role with expertise in data warehousing
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, MPP, and OLAP
• Deep Specialty Expertise in at least one of the following areas: Experience scaling large analytical data warehouse workloads in the cloud that are performant and cost-effective; Maintained, extended, or migrated a production data warehouse system to evolve with complex needs; Experience migrating on-premise EDW workloads to the public cloud
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Production programming experience in SQL and Python, or Java for developing UDFs
• Experience with the AWS, Azure, or GCP clouds
• 2 years professional experience with data warehousing and big data technologies
• 2 years customer-facing experience in a pre-sales or post-sales role
• Fluent proficiency in Japanese is a must, and business-level English is preferred

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In this role, you will architect cloud solutions that leverage Nvidia microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning.

Responsibilities

• Work closely with our product and research teams to define feature specifications and build the next generation of AI coding and profiling agents and services.
• Architect, design and develop high-performance and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.
• Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services for both external and internal customers.
• Mentor engineers and review code and design.

Requirements

• B.S. (or equivalent experience) in Computer Science with 12+ years of industry experience.
• Experience in large-scale user-facing application development using web/cloud services.
• Experience with full-stack web UI development using React, JavaScript, HTML, and CSS.
• Familiar with Kubernetes, Infrastructure as Code, AWS.
• Experience with DevOps including CI/CD, monitoring and alerts.
• Proficiency in Python.
• Strong communication skills to collaborate with cross-functional partners.
• Familiar with building either agent workflow and harness or sandboxing for agent or GPU environment in the cloud.

Preferred Qualifications

• Experience writing CUDA code and optimizing CUDA kernels.
• Experience with Kata Container or any other VM-based container runtime.
• GPU profiling, benchmark performance in a consistent and repeatable way.
• Proficiency in Rust.

You will be eligible for equity and benefits, with a base salary range of 224,000 USD - 356,500 USD, determined based on your location, experience, and the pay of employees in similar positions.

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Principal responsibilities:

• Develop and maintain backend services using Java/Python
• Collaborate with designers and backend developers to deliver high-quality products
• Write clean, efficient, and well-documented code
• Optimize applications for maximum speed and scalability
• Participate in code reviews and team meetings

Requirements:

• Strong experience in Java, Spring Boot, microservices, and RESTful API development
• Able to independently deliver backend APIs end-to-end, including development, testing, deployment, monitoring, and production support
• Proficient in SQL databases, NoSQL technologies, persistence frameworks such as JPA/Hibernate or MyBatis, and Linux/Shell scripting
• Familiar with AWS, Docker, Kubernetes, CI/CD, and DevOps delivery processes
• Good understanding of API security, performance optimisation, distributed systems, and troubleshooting production issues
• Familiarity with Python and ETL/data processing workflows is preferred
• Skilled in AI-assisted development tools for code generation, testing, debugging, and documentation; AI/LLM API integration experience is a plus
• Strong communication skills in English; Mandarin is a plus
• Willingness to participate in on-call rotation and support activities outside regular business hours as needed
• Eagerness to learn, adapt to new technologies, and apply AI responsibly to improve engineering outcomes

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We are seeking a Senior Cloud Infrastructure Security Engineer to join our team at Flexport in Amsterdam. As a key player in the global supply chain crisis, Flexport continues to make a significant impact on how goods move around the world.

Responsibilities

Architecture & Guardrails

• Design and review cloud security architecture for AWS and Kubernetes, focusing on account structure, network segmentation, workload identity, and secure-by-default patterns for new services.
• Drive remediation-at-source to fix Terraform modules and close misconfigurations at the pattern level.

Kubernetes & Workload Security

• Harden the Kubernetes platform, focusing on pod security, service mesh, network policy, secrets management, and supply-chain controls.
• Partner with platform engineers to ensure new services inherit secure defaults.

Policy & Automation

• Build and maintain policy-as-code and IaC scanning to block risky patterns in CI.
• Write code in Go or Python, shipped through the same CI/CD pipeline used by the rest of the engineering team.

Partnership

• Act as the local technical voice on cloud and infrastructure security for our Amsterdam engineering teams, partnering closely with the US-based cloud security team.

Requirements

• Typically 5–8 years of experience in cloud, infrastructure, or platform security engineering, with hands-on experience in AWS and Kubernetes.
• Proficiency in at least one compiled language (Go or similar) and one scripting language (Python or similar).
• Experience with infrastructure-as-code (Terraform or similar) and a GitOps delivery model.
• Working knowledge of IAM and least-privilege design across cloud and container environments.

Nice to Have

• Experience with cloud security posture tooling (Wiz, Orca, Prisma, or similar).
• Software supply-chain security experience (SLSA, artifact signing, provenance).
• Familiarity with EU data-residency and cross-border data-handling considerations.
• Multi-cloud experience.

Benefits

• Opportunity to contribute to a fast-growing company with a global impact.
• Daily catered lunches, breakfast, snacks, and soft drinks available in the office.
• Commute expenses covered for employees living outside of Amsterdam.
• 25 working days of vacation time based on full-time employment.
• Health insurance with a collective plan, including a basic package and additional packages.
• Defined pension contribution scheme.
• Equity program, making every team member a shareholder.
• Employee Assistance Program through Aetna Resources for Living.

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Key Responsibilities:

• Consult on data projects of intermediate complexity, with limited coaching and guidance
• Design, develop, and implement data products
• Produce data building blocks, data models, and data flows for varying client requests
• Create business user access methods to structured and unstructured data
• Utilize techniques such as mapping data to a common data model, natural language processing, and AI
• Translate business data stories into technical story breakdown structures and work estimates
• Develop and maintain moderately complex scalable data pipelines
• Prep and cleanse data to optimize for downstream reporting

Requirements:

• Insurance Domain Knowledge - Intermediate
• Property & Casualty Insurance - Intermediate
• Software / Tool Skills: AWS, DBT, Snowflake, Airflow, Data Analysis & Profiling, Data Architecture & Modelling, SQL & Python - all Intermediate (4-6 Years)

Benefits:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

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Key responsibilities include:

• Consulting on data projects of intermediate complexity to understand design requirements and existing business processes
• Leading in the design, development, and implementation of data products
• Producing data building blocks, data models, and data flows for varying client requests
• Creating business user access methods to structured and unstructured data
• Utilizing techniques such as mapping data to a common data model, natural language processing, and transforming data as necessary to satisfy business rules
• Translating business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint
• Developing and maintaining moderately complex scalable data pipelines for both streaming and batch requirements
• Building out new API integrations to support increased demands of data volume and complexity

Requirements:

• Insurance Domain Knowledge - Intermediate
• Property & Casualty Insurance - Intermediate
• Software / Tool Skills: AWS or similar platform, DBT, Snowflake, Airflow or related, Data Analysis & Profiling, Data Architecture & Modelling, SQL & Python - all Intermediate (4-6 Years)

Benefits:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

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We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech.

We're seeking highly motivated engineers with at least 3-4 years of Java experience to play a key role in our Getting Paid & Open Banking team. In this role, you will develop and maintain innovative capabilities that empower businesses to collect payments seamlessly and integrate their accounts with third-party providers.

Responsibilities:

• Develop and maintain innovative capabilities for payment collection and account integration
• Write clear, concise, and maintainable code
• Deliver robust, scalable systems
• Collaborate with external third-party partners

Requirements:

• At least 3-4 years of Java experience
• Excellent attention to detail
• Strong understanding of delivering robust, scalable systems
• Proven track record of engineering excellence
• Experience with AWS and Postgres is highly desirable

Benefits:

• 25 days holiday (plus take your public holiday allowance whenever works best for you)
• An extra day's holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth including mental health support and cancer care.

Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton

• Generous family-friendly policies
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks

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EA's Central Technology Organization is a diverse group of engineering and AI disciplines working closely with teams across the company to power the future of interactive entertainment. Our mission is to partner with our global game studios and business units to deliver intelligent player experiences through advanced data platforms, agentic AI, and cutting-edge software engineering.

This technical role offers a unique opportunity to work on real-world enterprise AI and agentic data-engineering use cases, going far beyond typical classroom exercises. As a Data and AI Engineering Intern, you will own a meaningful deliverable from concept to completion, building an end-to-end AI-first prototype using LLMs, RAG, and modern cloud data platforms. In this role, you will design intelligent agents, collaborate with experienced AI practitioners, and show how AI-driven workflows can deliver tangible business value to EA.

Responsibilities:

• Develop AI Workflows: Build and evaluate LLM or agent workflows using prompts, RAG (Retrieval-Augmented Generation), APIs, tool calling, and structured outputs.
• Build Engineering Components: Develop reliable Python and SQL components, tools, and pipelines for data ingestion, transformation, validation, testing, and data-quality checks.
• Ensure Quality & Safety: Review AI outputs with mentors, implement safety safeguards/guardrails, document design decisions, and systematically evaluate agent performance.
• Own a Deliverable: Define expected outcomes for a scoped agentic data-engineering use case, deliver a functional prototype, and explain its business value to technical and business stakeholders.
• Collaborate & Learn: Participate in team meetings, pair programming, architecture reviews, and network with the broader EA engineering and data organization.
• Grow Technical Skills: Gain exposure to responsible AI, data security, privacy, cloud data engineering, and agile software development practices.

Qualifications:

• Currently pursuing a graduate degree in Computer Science, Data Engineering, Data Science, or a related technical field.
• Generative AI Exposure: Hands-on exposure to LLMs through coursework or projects, with the ability to clearly explain the use case, your individual contribution, approach, and results.
• Agentic AI Foundations: Basic knowledge of RAG, embeddings, tool/function calling, structured outputs, workflow orchestration, guardrails, or human-in-the-loop systems.
• Data Engineering Foundations: Familiarity with Python, SQL, relational databases, APIs, data transformation, and basic pipeline or ETL/ELT concepts.
• Agile Mindset: Evidence of self-directed learning, smart problem-solving skills, curiosity, and clear communication.
• Nice-to-Haves: Prior exposure to cloud data environments (e.g., Snowflake, AWS, Azure, GCP), Git, or Machine Learning (ML) is a bonus but not required.

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You'll be at the forefront of research and development, uncovering efficiencies at a platform level and collaborating with engineering teams across the organization to implement solutions.

About the Team: Our Performance Load testing team operates on a hub-spoke model, focusing on load generation systems, test data generation, and Node.js and GoLang applications.

What We're Looking For:

• Experience with programming languages like Node.js, TypeScript, JavaScript, or GoLang
• Tester's mindset with understanding of code, databases, and data structures
• Experience with databases like MongoDB or SQL
• Familiarity with microservices and Kubernetes
• Public cloud experience with AWS and Azure
• Observability tooling experience with Datadog, New Relic, or similar
• Load testing tool experience with JMeter, Apache Bench, or Artillery
• Linux and containers experience
• Deep testing experience with advanced load generation and analysis systems

Why Join Us?

• High-scale, high-impact work on a global identity platform
• Opportunities to solve complex problems and grow professionally

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As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform within Digital Native customers.

You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value.

This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes.

You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption.

The Impact You Will Have

• Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts
• Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions
• Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs
• Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes
• Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence
• Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes
• Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery
• Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization

What We Look For

• 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role
• Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams
• Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions
• Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures
• Experience designing secure, governed, scalable, and production-ready data solutions
• Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation
• Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders
• Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization
• Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership
• Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority
• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to Have

• Databricks experience or certification
• Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
• Experience with AWS, Azure, or GCP and production cloud deployments
• Experience creating reusable technical frameworks, demos, or enablement that scale across teams

Benefits

• Comprehensive benefits and perks that meet the needs of all employees

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The ideal candidate combines hands-on software engineering and troubleshooting with the ability to understand customer requirements, lead technical discussions, and work across engineering teams to deliver practical solutions.

Responsibilities:

• Take ownership of enterprise customer issues involving user-space networking software, containerized services, and infrastructure integration across on-premises, cloud, virtualized, and Kubernetes environments, driving investigations from initial engagement through resolution.
• Work directly with customers to understand their architecture, workloads, and operational requirements. Lead technical discussions, structure troubleshooting activities, and communicate findings, recommendations, and next steps clearly.
• Collaborate with software, platform, and networking engineering teams to solve user-space issues, analyze service dependencies, configuration, and logs, and validate fixes across relevant software versions and deployment environments.
• Develop software tools and automation that improve the deployment, availability, reliability, and supportability of NVIDIA Enterprise solutions.
• Own the development and ongoing operation of NVEX Networking tools, dashboards and automation pipelines. Prioritize improvements, maintain code and test coverage, manage releases and documentation, and automate diagnostic collection, environment preparation, issue reproduction, validation, and reporting to accelerate customer issue resolution.
• Share troubleshooting knowledge, guide engineers through technical reviews, and help customers and internal teams adopt reliable deployment and operational practices.

Requirements:

• BSc in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience across software engineering, systems engineering, or technical solution delivery, including hands-on development and troubleshooting of complex enterprise environments.
• Extensive experience working directly with enterprise customers, translating requirements into technical solutions, leading technical discussions, and communicating effectively with engineering and business stakeholders.
• Strong analytical and problem-solving skills, intellectual curiosity, self-motivation, and the ability to collaborate across technical disciplines and take issues through to resolution.
• A strong software engineering background, including development of tools and automation, source control, code reviews, automated testing, pipeline implementation, and flow/agent automation. Hands-on scripting experience.
• Practical experience with cloud and virtualized infrastructure, including compute, virtual networking, hybrid connectivity, deployment, and operations on platforms such as AWS or Azure.
• Hands-on experience with Kubernetes and containerized workloads, including deployment, configuration, monitoring, and troubleshooting of the supporting infrastructure.
• Experience working with Linux and Windows environments and troubleshooting application and service behavior, configuration, logs, resource usage, and network connectivity.

Nice to Have:

• Experience deploying, operating, and troubleshooting containerized applications with Docker, Kubernetes/EKS, or ECS, including service lifecycle, configuration, and dependencies.
• A record of developing reusable software tools, scripting, infrastructure as code, and engineering pipelines adopted across teams.
• Experience automating large-scale server or network environments, including provisioning, software and tool deployment, Linux/Windows compatibility matrices, software-version testing, and test-result aggregation.
• Experience implementing centralized logging, monitoring, and reporting with tools to support troubleshooting and operational visibility.
• Experience in production deployments, or complex troubleshooting engagements, together with technical workshops, mentoring, and cross-team collaboration.

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Principal Responsibilities:

• Technical Leadership: Act as a hands-on lead developer, guiding the team in designing, developing, and deploying high-quality software solutions. Provide technical mentorship to multiple teams of developers, ensuring best practices in coding, design, and architecture. Drive the adoption of modern development frameworks, tools, and methodologies.

• Product Development: Collaborate with stakeholders to understand technical and customer needs, aligning them with the product vision. Take ownership of greenfield projects, leading them from inception to production release. Ensure the delivery of scalable, secure, and maintainable solutions that meet business requirements.

• System Design and Implementation: Architect and implement solutions using Java, Spring Framework, and Spring Integration. Design and integrate secure authentication mechanisms using OAuth 2.0. Develop and maintain robust data storage solutions using MongoDB.

• Cloud and DevOps: Leverage AWS services to build and deploy cloud-native applications. Implement containerized solutions using Kubernetes for scalability and reliability. Create and maintain CI/CD pipelines using Jenkins to ensure smooth deployment processes.

• Collaboration and Communication: Work closely with cross-functional teams, including product managers, QA engineers, and operations teams. Communicate effectively with stakeholders, providing updates on project progress and technical challenges.

Requirements:

• Technical Expertise: At least 8 years of hands-on experience in 5 or more of the following technologies: Java, Spring Framework (including Spring Integration), OAuth 2.0, MongoDB, AWS, Kubernetes, Jenkins Pipeline.

• Leadership Skills: Proven experience leading a team of multiple teams of developers, providing technical guidance and fostering a collaborative environment. Ability to mentor junior developers and ensure adherence to coding standards and best practices.

• Product Ownership: Strong product owner mentality, with a focus on understanding technical and customer needs while aligning with the product vision. Experience in delivering greenfield projects from concept to production release.

• Problem-Solving and Communication: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues. Excellent communication skills, capable of articulating technical concepts to both technical and non-technical stakeholders.

Additional Skills (Preferred but not mandatory):

• Experience with microservices architecture.
• Familiarity with other cloud platforms (e.g., Azure, GCP).
• Knowledge of front-end technologies (e.g., React, Angular) is a plus.

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What you’ll be doing: We collaborate with developers, strategic partners, cloud providers, and NVIDIA engineering teams to deliver supported solutions:

• Own product strategy and roadmaps. Balance NVIDIA’s priorities, developer feedback, market and community trends, adoption data, and engineering constraints.
• Design and implement data center and hybrid-cloud networks. Define routing, segmentation, secure access, DNS, VPNs, and load balancing; validate capacity, performance, tenant isolation, and failover.
• Write API integrations, network automation, and reference implementations in Python, Go, or a comparable language. Build and test proofs of concept with partners and internal teams.
• Develop self-service provisioning and lifecycle workflows with infrastructure as code, GitOps, CI/CD, configuration drift detection, and rollback. Deploy and troubleshoot Linux and Kubernetes services; trace connectivity across physical networks, virtual infrastructure, containers, and application endpoints.
• Use metrics, logs, and actionable alerts to diagnose incidents and improve reliability. Measure adoption, provisioning time, availability, and network performance. Partner with security teams on identity, least privilege, tenant access, and data governance.
• Define acceptance criteria, document architectures and integration patterns, and transition validated services to sustainment engineering with runbooks and tested recovery procedures. Communicate product vision, launches, and technical tradeoffs to partners, developers, and leadership.

What we need to see:

• We value technical product leaders who translate customer problems into roadmaps, prioritize work, and coordinate delivery with engineering and partners.
• 12+ years building and shipping enterprise software, hardware, or platform infrastructure, with ownership of requirements and delivery outcomes.
• Experience designing and operating networks with TCP/IP, BGP, routing, switching, high availability, firewalls, VPNs, DNS, DHCP, and NAT.
• Experience writing, testing, and maintaining code, developing and managing APIs, and automating infrastructure. Familiarity with SDKs, frameworks, and integration tooling.
• We need practical DevOps experience with Linux, Kubernetes, Git, CI/CD, infrastructure as code, and observability. Combine IaaS, PaaS, SaaS, and on-premises components into supportable solutions; understand production security and identity; and explain architectural tradeoffs clearly.
• A degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

Ways to stand out from the crowd:

• Familiarity with LLMs, RAG, and generative AI, open-source contributions, or research publications can demonstrate additional expertise
• We value AWS or Azure networking, leaf-spine fabrics, EVPN/VXLAN, SD-WAN, Helm, GitOps, and observability tools such as Prometheus or Grafana. GPU, DPU, ARM, InfiniBand, RoCE, and NVIDIA experience also helps.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

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This role involves developing and implementing innovative architecture and software for large-scale storage and backup services, ensuring continuous availability, performance, and self-service for all key services supporting our AI/ML, Software and engineering teams. This position offers a rare chance to contribute to revenue-driving initiatives and the foundation of our engineering services.

Responsibilities

• Develop and manage enterprise-scale platforms that unify storage infrastructure and services, integrating enterprise appliances, networks, and open-source technologies.
• Develop and scale REST APIs in Python/Go, enabling thousands of engineers to seamlessly run on-demand storage workflows.
• Automate storage operations , provisioning, monitoring, metrics, telemetry, and solving , ensuring high reliability and performance.
• Integrate intelligent observability and tracing into workflows to improve accuracy, reduce latency, and optimize efficiency across infrastructure services.
• Implement agentic workflows that empower self-healing, proactive remediation, and automation to decrease operational overhead.
• Build proof-of-concept integrations between infrastructure services and emerging agentic AI frameworks, laying the foundation for intelligent infrastructure platforms.
• Document practices and procedures, evaluate new technologies, and drive adoption of next-gen automation in enterprise storage services.

Requirements

• BS in Computer Science (or equivalent experience) with 12+ years of relevant experience, MS with 10+ years, or Ph.D. with 8+ years.
• Extensive expertise building large-scale, multi-threaded, distributed backend systems.
• Experience designing and building RESTful APIs using Python or Go.
• Familiarity with containerization & orchestration (Docker, Kubernetes).
• Exposure to cloud platforms (AWS, Azure, GCP).
• Experience with telemetry stacks (Prometheus, Grafana, Alert manager, ELK/Kibana).
• Ability to collaborate across teams and communicate technical solutions effectively.
• Growth mindset to quickly adopt new frameworks in observability, AI automation, and infrastructure management.

Preferred Qualifications

• Contributions to open-source projects (infrastructure, storage, or Python-based libraries).
• Strong background in Linux storage systems and solving at enterprise scale.
• Experience with Enterprise NAS (NetApp, Pure Storage), distributed filesystems (Lustre, GPFS, Ceph), or S3-compatible object storage.
• Experience with GenAI/agentic application frameworks (LangChain, LlamaIndex, AutoGen) or observability platforms (LangSmith, Arize Phoenix, W&B Weave).
• Proven track record to prototype and productionize intelligent automation workflows, especially for self-service, large-scale infrastructure.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

XML job scraping automation by YubHub

This role will play a critical leadership position in driving the migration of existing tactical databases, dashboards, and data pipelines to the enterprise Data Hub architecture while ensuring uninterrupted support for key CVM initiatives. The successful candidate will bridge business and technology teams to deliver scalable data solutions, enable self-service analytics, and accelerate data-driven customer engagement, campaign management, and advisor productivity initiatives.

Key Responsibilities

1. Lead Tactical Database Migration Program

• Serve as the technical lead for migration of legacy/tactical databases, data pipelines, and reporting assets to the strategic cloud-based data platform.
• Drive current-state assessment, target architecture design, migration planning, development, testing, and implementation.
• Partner with Enterprise Architecture, IT, Data Engineering, and Business stakeholders to ensure smooth transition with minimal business disruption.
• Support migration of Tableau dashboards, data marts, SQL assets, and related analytics capabilities into the future-state data ecosystem.
• Establish migration governance, risk management, reconciliation, and data validation processes to ensure data quality and integrity.

1. Enable CVM Analytics and Campaign Initiatives

• Deliver data solutions supporting customer portfolio analytics, campaign measurement, client tagging, customer insights, and advisor productivity initiatives.
• Support business teams in campaign targeting, performance tracking, customer segmentation, and lead management capabilities.
• Develop and maintain datasets required for customer lifecycle management, cross-sell/up-sell programs, retention strategies, and personalized customer engagement.
• Partner with Marketing, Distribution, Digital, and Customer Experience teams to unlock business value through data and insights.
• Drive continuous enhancement of CVM dashboards, campaign performance reporting, and customer analytics capabilities.

1. Data Engineering & Solution Delivery

• Design, build, and optimize scalable data pipelines using cloud and database technologies.
• Manage data ingestion, transformation, validation, and automation processes across multiple data sources.
• Lead development activities involving SQL, AWS, Redshift, ETL workflows, and analytics data marts.
• Ensure data availability, performance, security, and operational stability for business-critical reporting and analytics solutions.
• Introduce automation opportunities to reduce manual processing and improve delivery efficiency.

1. Stakeholder Management & Project Delivery

• Act as the primary liaison between business stakeholders and technical teams.
• Translate business requirements into actionable data and analytics solutions.
• Manage project roadmap, delivery priorities, risks, dependencies, and stakeholder communications.
• Drive adoption of analytics solutions through training, documentation, and user engagement activities.
• Provide leadership and guidance to analysts, developers, and project resources.

1. Data Governance & Quality Management

• Implement and maintain data quality controls, lineage, metadata, and documentation standards.
• Support data governance initiatives and regulatory compliance requirements.
• Ensure appropriate access management and controls across CVM data assets.
• Promote best practices in data management, development standards, and operational excellence.

Required Qualifications

• 8+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, Analytics, or related disciplines.
• Proven experience delivering large-scale data migration or data transformation programs.
• Experience supporting CRM, customer analytics, marketing analytics, or CVM-related initiatives.
• Strong stakeholder management experience across business and IT organizations.
• Financial services, insurance, banking, or consulting experience preferred.

Technical Skills

• Strong SQL and relational database expertise.
• Hands-on experience with AWS services (Redshift, Glue, Athena, S3) or equivalent cloud data platforms.
• Experience with Tableau, Power BI, or enterprise BI tools.
• Knowledge of ETL/ELT design, data modeling, and data architecture.
• Familiarity with Python or other data engineering technologies is an advantage.

Competencies

• Strategic thinker with strong execution capability.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement skills.
• Ability to lead cross-functional initiatives and manage multiple priorities.
• Passion for driving business outcomes through data and analytics.

At Sun Life, we’re driven by our Purpose: to help Clients build lifetime financial security and lead healthier lives. Across Asia, we cultivate a High-Performance, Caring Culture that empowers our people to achieve outstanding results, embrace continuous growth, and create meaningful impact.

We succeed together by fostering an inclusive environment where wellbeing, collaboration, and accountability are equally valued.

We offer 5-day work, attractive salary, MPF, group life and group medical insurance; and excellent career development opportunities to the right candidate.

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As a Security Compliance Engineer at Yuno, you will play a key role in ensuring the company's security and privacy programs meet the highest industry standards. You will contribute to ISOs, SOC 2, and PCI DSS audits from a technical perspective, translating compliance and privacy requirements into auditable technical controls.

Key Responsibilities

• Actively participate in ISO 27001/27701, ISO 42001, SOC 2, and PCI DSS audit processes, contributing from a technical and implementation perspective as part of the Security team.
• Translate security, compliance, and privacy requirements into scalable technical controls, ensuring they are enforceable, measurable, and auditable.
• Develop and maintain internal security tools using Python, supporting security operations and contributing to stronger technical controls.
• Work with Engineering and DevOps teams to implement and validate cloud security controls in AWS and GCP aligned with audit requirements.

Requirements

• Practical experience working with ISO audits and translating controls into technical implementations.
• Experience in fintech, payments, or highly regulated environments.
• Familiarity with SOC 2 or PCI DSS frameworks from an engineering perspective.
• Understanding of privacy requirements and frameworks.
• Working knowledge of Python, with the ability to build and maintain simple tooling.
• Solid knowledge of AWS and/or GCP security services (WAF, Guard Duty, Security Hub, monitoring, etc.).
• Strong collaboration skills and English fluency.

Preferred Qualifications

• Familiarity with Kubernetes or container security.
• Familiarity with infrastructure as Code (Terraform, CloudFormation).
• Experience with vendor risk management and third-party security reviews.
• Familiarity with emerging architectures (e.g., serverless, event-driven, AI integrations).

Benefits

• Competitive Compensation.
• Remote Work – You can work from everywhere!
• Home Office Bonus – A one-time allowance to help you create your ideal home office.
• Work Equipment.
• Stock Options.
• Health Plan wherever you are.
• Flexible Days Off.

XML job scraping automation by YubHub

Your role involves administering and maintaining CentOS/ALMA Linux systems across Azure, AWS, and GCP cloud environments that support large-scale EDA compute farms and design workflows.

Key responsibilities:

• Deploy and manage cloud infrastructure at scale using Terraform and Ansible
• Monitor system health, capacity, and performance using Prometheus, Grafana, Elastic Search, or Splunk
• Troubleshoot complex system, network, and application-level problems
• Manage license servers and batch scheduling systems
• Coordinate tool version upgrades and compatibility validation
• Participate in rotational shift work and on-call weekend coverage

Requirements:

• 5+ years of hands-on Linux systems administration experience
• Strong proficiency with CentOS, ALMA, or similar Linux distributions
• Hands-on experience with Azure, AWS, or GCP
• Proven experience using Terraform and Ansible
• Strong scripting skills in Bash and Python
• Experience managing batch scheduling systems and license management tools

You will be part of a dynamic and collaborative Cloud Operations team that keeps the cloud environment running smoothly, securely, and reliably.

Benefits include comprehensive medical and healthcare plans, time away programs, family support, ESPP, retirement plans, and competitive salaries.

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Responsibilities:

• Conduct technical interviews
• Create software, tooling, and distributed systems for automating and managing data center network hardware and compute stacks
• Create and operate shared infrastructure for Stripe's Cardholder data environment
• Develop deployment tooling
• Prepare for SOX and PCI compliance audits, interviews, and remediations
• Manage projects
• Mentor junior engineers
• Participate in on-call responsibilities

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 2 years of Software Development experience
• 2 years of experience with AWS cloud infrastructure and Terraform infrastructure automation
• 2 years of experience with reliability, scalability, and distributed systems principles
• 1 year of experience in Go, Ansible, Puppet, Ruby, and Python programming languages
• 1 year of experience in mentorship and leadership of junior software engineers
• 1 year of experience performing 24/7 on-call rotations
• 1 year of experience with monitoring and logging tools, computer network concepts, Linux operating system, and cloud and application security best practices
• 1 year of experience with PCI compliance monitoring, audit processes, and evidence collection

Benefits:

• Salary: $190,400.00 - $285,600.00/yr
• Equity
• Company bonus or sales commissions/bonuses
• 401(k) plan
• Medical, dental, and vision benefits
• Wellness stipends
• 40 hrs/week
• 50% remote work permitted

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You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners.

Key responsibilities:

• Define and execute the ANZ go-to-market strategy for Digital Natives and Startups
• Build, hire and lead a high-performing sales team across Australia and New Zealand
• Own pipeline, forecast and consumption targets for the segment
• Develop strong relationships across the ANZ startup ecosystem
• Partner with cloud providers and our Partnerships team to co-sell and extend our reach
• Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging
• Represent ANZ priorities to regional and global leadership

Minimum qualifications:

• 15+ years of overall experience selling technology products to enterprise organisations across ANZ market
• 5+ years of people management experience leading sales teams in the digital native and/or startup segment
• Proven success in consumption-based technology sales
• Experience building a business or team from the ground up in Australia and/or New Zealand

Preferred qualifications:

• Background at Google, AWS or a similar cloud or SaaS company
• Experience selling AI, machine learning or developer-focused products
• Experience co-selling with cloud partners and working with channel

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.

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You will work with data scientists and engineers to improve personalisation, accelerate experimentation, and drive user engagement and recommendation-attributed revenue.

Responsibilities:

• Develop and enhance AI-driven personalised recommendation systems using Machine Learning (ML) / Deep Learning (DL)
• Leverage AI-assisted development tools to accelerate feature engineering, user segmentation, model prototyping, code generation, offline model evaluation, performance benchmarking and documentation
• Design and analyse A/B tests and statistically evaluate model performance
• Enhance production pipelines using Airflow and AWS services
• Support monitoring, debugging, and optimisation of deployed ML systems
• Work on real-world challenges including cold-start, personalisation at scale, revenue optimisation, and production infrastructure constraints.

Pre-requisites:

• Passion and interest in using Data Science to drive business impact
• Strong foundational understanding of ML fundamentals and core concepts
• Have hands-on ML project experience (academic or industry)
• Proficiency in Python, SQL and common machine learning frameworks (e.g. TensorFlow, Keras, Sklearn, Pytorch) and LLM-powered workflows and embeddings
• Diligent, reliable, strong analytical skills, good communication skills, and teamwork
• Experience with cloud technologies (AWS, GCP, Azure etc) is advantageous

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Job Purpose The BI and Data Science team at American Honda Motor is on the mission to design, develop, and deploy BI/AI / ML solutions aligned with our 2030 vision where data is at the core of everything. This role plays a critical part in advancing enterprise reporting, advanced analytics, and AI/ML capabilities, while ensuring alignment with governance, scalability, and business value. The selected associate will collaborate closely with business units, IT, and global teams to deliver impactful insights and innovative solutions.

Key Accountabilities

• Business Intelligence & Reporting:
• Design, develop, and maintain dashboards, reports, and semantic models (e.g., Power BI, Qlik)
• Translate business requirements into scalable and performant BI solutions
• Ensure data accuracy, consistency, and alignment with enterprise KPIs
• Optimize report and data model performance

• Data Science & Advanced Analytics:
• Develop predictive and analytical models to support business decision-making
• Perform data exploration, feature engineering, and statistical analysis
• Deliver actionable insights to improve operations and strategy
• Support development and scaling of analytics use cases

• AI / Machine Learning Enablement:
• Build and support AI/ML solutions (forecasting, classification, NLP, etc.)
• Integrate AI capabilities into enterprise reporting platforms
• Evaluate emerging AI tools and contribute to innovation initiatives
• Support responsible AI practices, including model explainability and governance

• Data Platform & Integration:
• Work with data engineering teams to consume and integrate data pipelines
• Support data modeling, transformation, and architecture best practices
• Leverage cloud platforms (e.g., Azure, Fabric, AWS) for scalable solutions

• Governance & Standards:
• Follow data governance, security, and RBAC policies
• Contribute to BI/AI standards and reusable templates
• Document solutions and support compliance requirements
• Support BI administration, capacity monitoring, and quality reporting

Qualifications, Experience, and Skills

• BS in Technical discipline such as Computer Science, Data Analytics, Mathematics, and Engineering
• 1+ years’ experience in Business Intelligence, AI, & ML
• 1+ years in scripting language (ex. Python, SQL)
• Strong knowledge of data structures (structured/unstructured) and data modelling
• IT technology and operations experience to maintain/upgrade the software/hardware, job monitoring, infrastructure knowledge, and operating systems’ know-how.

Skills

• 1+ years’ experience in Business Intelligence (BI), Artificial Intelligence (AI), & Machine Learning (ML)
• Some experience in BI tools like Power BI, Qlik and SAP Business Objects
• Basic understanding of data models, data marts, and data concepts
• Some experience in data analysis, wrangling, validation, and data cleansing
• Basic knowledge in Data Sciences area including ML models, algorithms, data wrangling, Data Ops etc.
• Basic experience with SQL or database platforms like MS SQL Server, PostgreSQL etc.
• Basic knowledge of cloud-based technology including cloud connectivity options, data storage options (S3, Glacier), data lakes (S3 etc.), master data management, data cataloguing, cloud warehouses (Redshift, etc.), cloud ETL/ELT tools, cloud databases (RDS, DynamoDB etc.), and cloud/on-prem BI products (Power BI, Tableau, etc.)
• Some experience in scripting languages like R, Python, SQL, Julia
• Basic IT technology and operations experience to maintain/upgrade the software/hardware, jobs monitoring, servers/infrastructure, and operating systems.

Benefits

• Competitive Base Salary
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)
• Tuition Assistance & Student Loan Repayment
• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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In this role, you will make an impact by:

• Driving automation excellence through designing and implementing scalable solutions that streamline infrastructure provisioning, reduce manual effort, and accelerate deployment cycles.
• Setting technical direction by leading the creation of system architectures, infrastructure designs, and detailed documentation that guide consistent, high-quality solution delivery.
• Ensuring secure, high-performing systems by actively participating in design, cybersecurity, and code reviews to uphold architectural standards, security principles, and performance expectations.
• Enabling seamless integration by collaborating with cross-functional teams to ensure new solutions align with and enhance existing infrastructure and platforms.
• Strengthening system resilience by identifying vulnerabilities and leading enhancements that improve system stability, security posture, and overall reliability.
• Optimizing performance and availability by proactively monitoring system health, analyzing trends, and driving tuning and capacity planning initiatives across environments.
• Leading complex issue resolution by troubleshooting and resolving critical infrastructure challenges, minimizing downtime and ensuring business continuity.
• Delivering strategic integrations by partnering with vendors and internal teams to plan and execute complex system integrations that support business growth and innovation.

To be successful in this role, you will need:

• Security & Compliance Principles: Applies standards, tools, and best practices to embed security, privacy, and compliance into the design/build/test/operate lifecycle.
• Programming Principles: Applies programming languages, frameworks, and patterns to design, write, configure, test, and maintain software/solutions/systems.
• Data Principles: Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance.
• Modern Development Practices: Applies modern engineering practices and tools such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code.
• Solution Design: Translates business requirements into integrated designs, architectures, patterns, and system interactions.
• System Architecture: Creates and evolves architecture system blueprints developing reusable patterns and roadmaps.
• Demonstrating Mastery: Maintains essential knowledge and proficiency in relevant domains, tools, technologies, methodologies, or frameworks.
• Strategic and Innovative Thinking: Evaluates business and technology trends, anticipates future needs, develops creative approaches, and frames innovations.
• Technical Passion & Drive: Models curiosity and excitement for technology by self-initiating continuous development and experimenting with emerging technologies.
• Driving Effective Outcomes: Takes ownership, acts with urgency, and initiates action to turn goals into clear plans, decisions, guardrails, and cadences.
• Engaging with Impact: Communicates with clarity and purpose to align stakeholders, foster collaboration, build trust, and influence coordinated action.
• Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.
• Ensuring Customer Success: Embraces a customer-first mindset to deliver outcomes by linking customer needs and business priorities to aligned solutions.

Education, Licenses, Certifications:

• College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required.
• This position may require licensing for compliance with export controls or sanctions regulations.

Experience:

• Significant relevant experience required, 5-7 years of experience.

Core Skills & Expertise:

• AWS Services: EC2, S3, IAM, VPC, Lambda, CloudFormation, RDS, CloudWatch, CloudTrail
• Networking & Security: VPC design, Security Groups, NACLs, Route 53, Transit Gateway, IAM policies, KMS, Secrets Manager, GuardDuty, Security Hub
• Monitoring & Logging: CloudWatch (metrics, logs, alarms), X-Ray, ELK Stack, Prometheus + Grafana
• Automation & Scripting: Terraform, AWS CloudFormation, CDK, Python, AWS CLI & SDKs (Boto3)
• CI/CD Pipelines: GitHub Actions, AWS CodePipeline, CodeBuild, Jenkins, GitLab CI
• Containers & Orchestration: Fundamentals of ECS, Fargate, EKS, Docker, Helm
• Cost Optimization: AWS Budgets, Cost Explorer, Trusted Advisor, tagging governance
• DevSecOps & Compliance: Well-Architected Framework, CIS Benchmarks, SCPs, security best practices
• Collaboration & Documentation: Agile methodologies, Jira, Confluence, architectural diagrams, runbooks

XML job scraping automation by YubHub

You will be part of a global team spanning major trading hubs that ships code early and often using Agile and DevOps principles.

Responsibilities:

• Build out and support the strategic Order Management System (OMS), pricing, and front-to-back booking and lifecycle platforms
• Design and implement high-quality solutions, contributing to implementation and architecture decisions within a global development team
• Deliver end-to-end across requirements analysis, development, testing, automation, deployment, and support
• Partner day-to-day with the Sales and Trading desk and internal Technology teams, adapting the level of detail to your audience
• Participate in DevOps and production support via rota and progress automation improvements

Requirements:

• Strong hands-on back-end development experience with Java
• Kotlin experience
• Proven experience building large-scale complex systems, including concurrent processing
• Strong knowledge of design principles, SDLC, and a DevOps mindset, including Agile delivery, automation, and quality
• Excellent communication skills and ability to work effectively in a complex global environment
• Experience engaging directly with the Sales and Trading desk and internal Technology teams
• Financial industry background with development experience in trading systems

Nice to have:

• AI-driven development experience, including Copilot and Claude Code
• Equity Derivatives and Structured Products front-to-back knowledge, including trade capture, pricing, booking, and lifecycle
• Cloud exposure, GCP, and/or AWS
• Datastores: MongoDB, Oracle, PostgreSQL
• Up-to-date skills with web services and event-driven architecture

We offer:

• The pay range for this role is 18,359 PLN - 27,542 PLN monthly, gross
• Variable pay is discretionary, but influenced by Group performance, business/function performance, and individual performance
• Comprehensive and competitive package of benefits covering healthcare, family-friendly leaves, pension, and life assurance
• Additional bonuses for recognition awards
• Multisport card
• Private medical care
• Life insurance
• One-time reimbursement of home office set-up (up to 800 PLN)
• Cafeteria platform
• Employee assistance program
• Additional contributions to PPK scheme
• Corporate parties & events
• CSR initiatives
• Nursery discounts
• Financial support with trainings and education
• Social fund
• Flexible working hours
• Free parking

XML job scraping automation by YubHub

As a Systems Engineer - Data Security at Cloudflare, you will help build and maintain Data Security products. These products empower customers to gain deep visibility into Cloud/SaaS security opportunities and into trends in their network traffic and product use.

Responsibilities

• Building new functionality into APIs and distributed code while ensuring performance and reliability of services that ingest millions of data points each day
• Working with a team of bright, knowledge-seeking engineers who are focused on solving security and network visibility challenges for customers
• Utilizing technologies such as Go, Python, Typescript, Kubernetes, Cloudflare Workers, AWS, GCP, Azure, Postgres, Redis, Kafka, Prometheus, Grafana, Elasticsearch, Kibana, Clickhouse, and BigQuery

Requirements

• 3+ years of professional experience building and managing reliable and performant software systems at scale
• Experience with technologies like Go, Python, Postgres
• Excellent debugging and optimization skills
• Strong interpersonal and communication skills
• Passion for making the digital world a more secure place

Nice to Have

• Frontend programming experience in Typescript/Javascript
• Previous experience working with third-party API integrations
• Previous experience working on security products

What Makes Cloudflare Special?

• Project Galileo: equipping journalism and civil society organizations with tools to defend against attacks
• Athenian Project: providing high-level protection and reliability for state and local government election websites
• 1.1.1.1: a faster, more secure, and privacy-centric public DNS resolver

Benefits

• Opportunities for growth and development in a highly ambitious, large-scale technology company
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

XML job scraping automation by YubHub

The Community Growth organization is driving measurable audience growth, engagement, and revenue for our streamers while delivering exceptional experiences that delight our viewers.

Our mission is to design smarter tools, seamless pathways between discovery and support, and meaningful opportunities that connect people to what they love most about Twitch.

These features let people participate in their favorite communities and discover new ones more efficiently.

We work hard to bring novel opportunities to the world of streaming both individually and in collaboration with similar streamers.

Some examples of spaces we own include Chat, Stream Together, and Discovery.

This team will also be focusing on making sure Web and Mobile Twitch “Just Works” and also evolving the mobile app experience in new and exciting ways.

Our consumer facing features span both web and mobile surfaces.

This position is primarily focused on web & mobile frontend development (React heavy for both Web & Mobile) but is expected to be fullstack, with some responsibilities around supporting and maintaining backend systems.

We're particularly interested in someone that will become an expert in both of these platforms as well as has passion in influencing what these features should be and how they work.

Responsibilities

• Deliver high-quality user experiences across Web and Mobile surfaces
• Partner with product managers, designers, and engineers to design, develop, launch, and operate consumer-facing features
• Work backwards from customer problems to drive business impact
• Participate in design and code reviews
• Maintain and improve the backend services behind our features

Requirements

• Minimum of Bachelor’s degree in Computer Science or prior relevant engineering experiences
• 1+ years of professional engineering experience building consumer-facing products at scale
• Experience communicating complicated technical problems to both technical and business audiences
• A track record of thinking through and shipping quality user experiences
• Enthusiasm for AI-driven engineering practices and a continuous desire to optimize development lifecycles using modern automated tools.

Nice to Have

• React Native experience
• Go, or other backend languages we use at Twitch
• AWS experience (ECS, DynamoDB, Lambda, SQS, Step Functions)
• Familiarity with Twitch, gaming, and/or streaming
• Personally built and or maintains software used by the gaming community

Benefits

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

XML job scraping automation by YubHub

Responsibilities:

• Build machine learning products to enhance Twitch's content understanding and help creators and viewers build and discover communities.
• Lead high-profile projects using a wide range of ML tools to handle multiple types of data, including user behavior, metadata, and user-generated content.
• Collaborate with cross-functional teams to prototype and deploy models into production.
• Stay up-to-date with new techniques in LLM, computer vision, inference, and model evaluation.

Requirements:

• A degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics, Engineering, or similar).
• 5+ years of hands-on industry experience with applied ML (Bachelor's), OR 3+ years of applied ML experience (Master's), OR 1+ year of applied ML experience (PhD).
• Experience with LLM model evaluations.
• Experience owning projects involving numerous scientists and engineers.
• Expertise with Python, SQL, modern open-source ML libraries (Pytorch, Tensorflow, etc.), and developing software in AWS or similar cloud-computing services.

Benefits:

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

XML job scraping automation by YubHub

In this role, you will continuously raise the bar for attackers, making vulnerabilities in Tanium software harder and more expensive to find. You will apply deep security expertise to decide what to hunt for and streamline vulnerability discovery, triage, and remediation processes.

Responsibilities:

• Decide which attack surfaces and bug classes to target and build capabilities to discover new vulnerabilities
• Triage newly discovered vulnerabilities quickly and accurately, ranking them by exploitability and actual impact
• Provide high-quality patch guidance and work on pull requests in addition to vulnerability reports
• Maintain a threat model of Tanium software and services to direct future vulnerability research projects
• Drive vulnerability research with frontier AI capabilities and build agentic workflows
• Build and maintain reliable tooling to support vulnerability research efforts
• Shorten the time from detection to remediation by reducing false positives and improving finding quality
• Perform source code review and targeted security assessments of high-risk components

Requirements:

• Bachelor's Degree in Computer Science or equivalent experience
• 5+ years of industry experience, 7+ preferred
• Strong understanding of web and native application security
• Experience with hands-on vulnerability research via source code review, manual application penetration testing, or fuzzing
• Expertise in determining vulnerability severity and exploitability
• Proficiency in at least one of: Go, C++, TypeScript/JavaScript, or Python

Nice to have:

• Experience applying frontier models to vulnerability research
• Experience with reachability or exploitability analysis
• Experience with native code security (C/C++)
• Experience with cloud platforms (AWS or Azure preferred)
• Published vulnerability research, credited CVEs, or open-source security tooling

Benefits:

• Annual base salary range: $191,000 to $293,000
• Equity awards
• Medical, dental, and vision plans
• Family planning benefits
• Health savings account
• Flexible spending account
• Transportation savings account
• 401(k) retirement savings plan with company match
• Life, accident, and disability coverage
• Business travel accident insurance
• Employee assistance programs
• Disability insurance
• Other well-being benefits

XML job scraping automation by YubHub

We are hiring an Engineering Manager to run a squad that builds Omada's Member-facing systems. As an Engineering Manager, you will ship code alongside your Builders, own the execution, and run the squad's rituals. You will partner closely with a Product Strategist who owns what the squad should build and why.

Responsibilities:

• Own the squad's delivery, including sprint shaping, prioritization, backlog grooming, and estimation.
• Own cycle time and improve it without compromising quality.
• Ship production code every sprint, off the critical path, using the same agent workflows as your squad.
• Partner with your Product Strategist to ensure the squad builds what is required.
• Grow your engineers and provide them with the best leadership.
• Own the operational health of your squad, including on-call rotations and post-incident analysis.
• Escalate early and often, bringing tradeoffs and recommendations.
• Hire new talent and show them why they should build a career with Omada.

Requirements:

• 6+ years of software engineering experience, including at least 2 years of managing engineers.
• A track record of shipping mission-critical software to production.
• Experience owning prioritization and estimation for a team.
• Experience giving direct developmental feedback.
• Currently shipping or recently shipped production code in at least one layer of the stack.
• Comfort with an expert-generalist team model.
• Hands-on experience directing AI agents through real-world production changes.
• Understanding of CI/CD, logging, monitoring, and telemetry.
• Excellent written communication skills.

Technologies used:

• Ruby on Rails
• Python (Flask, FastAPI)
• React
• Native iOS (Swift, SwiftUI)
• Native Android (Kotlin)
• PostgreSQL
• GraphQL
• AWS (RDS, SQS)
• Docker
• Kubernetes
• GitLab
• Datadog
• PagerDuty

Benefits:

• Competitive salary with generous annual cash bonus
• Equity grants
• Employee stock purchasing plan (ESPP)
• Remote-first work-from-home culture
• Flexible Time Off
• Generous parental leave
• Health, dental, and vision insurance
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions

XML job scraping automation by YubHub

We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech.

We're seeking highly motivated engineers with around 3-4 years of Java experience to play a key role in our Finance Engineering team. You will take part in writing and supporting key financial systems such as the bank's ledgers and the systems that integrate with them.

Responsibilities:

• Write clear, concise, and maintainable code
• Design systems to solve problems
• Engage in project lifecycle with internal stakeholders
• Collaborate with team members and across the business

Requirements:

• 3-4 years of Java experience
• Good attention to detail
• Experience with Postgres is highly desirable
• Experience with Netsuite would be a bonus

Tech Stack:

• Java
• Postgres
• AWS & GCP
• Distributed service-based architecture
• Kubernetes (EKS)
• TeamCity for CI/CD
• Terraform and Grafana

Benefits:

• 25 days holiday (plus take your public holiday allowance whenever works best for you)
• An extra day's holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth including mental health support and cancer care.
• Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
• Generous family-friendly policies
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks

XML job scraping automation by YubHub

Join the team as our next Staff Machine Learning Engineer on Twilio's Conversation Memory team. In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.

Responsibilities:

• Build out new functionality within a fast-moving product seeing rapid adoption.
• Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
• Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
• Build ML systems that hold up at Twilio scale.
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
• Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.

Qualifications:

• Required:
• 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
• Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
• Proficiency in Python programming language.
• Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
• Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
• Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
• Experience in building cloud-based services using AWS, GCP, or Azure.
• Strong communication skills and highly effective collaborator who works well with teammates.
• Desired:
• Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
• Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
• Prior experience working in a globally distributed team.

Location: This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

XML job scraping automation by YubHub

Join the team as our next Principal Machine Learning Engineer in Twilio's Customer Memory Team. In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.

Responsibilities:

• Build out new functionality within a fast-moving product seeing rapid adoption.
• Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
• Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
• Build ML systems that hold up at Twilio scale.
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
• Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.

Qualifications:

• Required:
• 10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
• Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
• Proficiency in Python programming language.
• Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
• Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
• Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
• Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
• Experience in building cloud-based services using AWS, GCP, or Azure.
• Strong communication skills and highly effective collaborator who works well with teammates.
• Desired:
• Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
• Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
• Prior experience working in a globally distributed team.

Location: This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.

Travel: You may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

XML job scraping automation by YubHub

As a Machine Learning Engineer III in Twilio's Customer Memory Team, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers.

Responsibilities:

• Build out new functionality within a fast-moving product seeing rapid adoption.
• Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
• Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
• Build ML systems that hold up at Twilio scale.
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
• Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.

Qualifications:

• 5+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end.
• Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
• Proficiency in Python programming language.
• Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
• Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
• Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
• Ability to raise the technical bar of a team through mentorship, design review, and standards.
• Strong communication skills and highly effective collaborator who works well with teammates.

Location: Remote - India (Karnataka, Tamil Nadu, Telangana State, Maharashtra, and New Delhi).

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

XML job scraping automation by YubHub

As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value.

The Impact You Will Have

• Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts
• Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions
• Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs
• Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes
• Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence
• Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes
• Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery
• Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization

What We Look For

• 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role
• Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams
• Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions
• Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures
• Experience designing secure, governed, scalable, and production-ready data solutions
• Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation
• Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders
• Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization
• Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership
• Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority
• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to Have

• Databricks experience or certification
• Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
• Experience with AWS, Azure, or GCP and production cloud deployments
• Experience creating reusable technical frameworks, demos, or enablement that scale across teams

XML job scraping automation by YubHub

Join the team as our next Staff Machine Learning Engineer on Twilio's Conversation Memory team. In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.

Responsibilities:

• Build out new functionality within a fast-moving product seeing rapid adoption.
• Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
• Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
• Build ML systems that hold up at Twilio scale.
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
• Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.

Qualifications:

• Required:
• 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
• Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
• Proficiency in Python programming language.
• Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
• Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
• Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
• Experience in building cloud-based services using AWS, GCP, or Azure.
• Strong communication skills and highly effective collaborator who works well with teammates.
• Desired:
• Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
• Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
• Prior experience working in a globally distributed team.

Location: This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

XML job scraping automation by YubHub

Join the team as our next Principal Machine Learning Engineer in Twilio's Customer Memory Team. In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers.

Responsibilities:

• Build out new functionality within a fast-moving product seeing rapid adoption.
• Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
• Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
• Build ML systems that hold up at Twilio scale.
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
• Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.

Qualifications:

• Required:
• 10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
• Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
• Proficiency in Python programming language.
• Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
• Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
• Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
• Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
• Experience in building cloud-based services using AWS, GCP, or Azure.
• Strong communication skills and highly effective collaborator who works well with teammates.
• Desired:
• Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
• Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
• Prior experience working in a globally distributed team.

Location: This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

XML job scraping automation by YubHub

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Brokerage Platform org is the backbone of everything Robinhood trades, clears, and settles. It is the underlying infrastructure that powers every equities trade, every options contract, every event contract, and every crypto transaction that moves through our platform , and it is the foundation on which Robinhood's most important business lines are built. The org spans four deeply interconnected teams: Market Data & Symbology (the real-time and reference data layer that the entire product experience depends on), Trading Platform (core order routing, execution management, and bulk order systems), Clearing (settlement, margin, security lending, cash sweep, and the full back-office operations stack), and Brokerage Infrastructure (the platform layer that enables every product team to move faster through abstractions, reliability investments, and next-generation stack modernization).

This org operates 24 hours a day around critical market functions , from market open to trade settlement , and when things go wrong, it matters. As the Director of Engineering, Brokerage Platform, you will lead one of Robinhood's largest and most consequential engineering organizations. You will own the technical strategy, people leadership, and delivery execution for a broad, high-stakes platform , partnering closely with a dedicated TPM and engaging deeply with trading, crypto, and active trader product teams who depend on your org every day.

What you’ll do

• Own the full engineering strategy and delivery for Brokerage Platform , spanning Market Data & Symbology, Trading Platform, Clearing, and Brokerage Infrastructure , setting the technical direction and ensuring the org executes with reliability and conviction
• Lead and develop a large, distributed engineering organization of senior and staff-level engineers and engineering managers , building the talent, culture, and bench strength the org needs to sustain high performance over time
• Drive platform investments that have direct business impact , identifying the modernization, reliability, and scalability bets worth making, building the conviction behind them, and seeing them through to measurable outcomes
• Partner tightly with your TPM counterpart to manage a high volume of incoming asks from trading, crypto, active trader, and event contracts product teams , prioritizing ruthlessly and protecting engineering capacity for the work that matters most
• Own the reliability and operational health of systems that run continuously around market-critical functions , ensuring the org is prepared for high-severity incidents and has the processes and tooling to resolve them fast
• Engage deeply with cross-functional leadership across Robinhood , representing Brokerage Platform's roadmap, dependencies, and capabilities to product, ops, and executive stakeholders
• Champion platform modernization and technical debt reduction , driving initiatives like stack rewrites, sharding, multi-region scaling, and infrastructure abstractions that unlock velocity across the entire engineering org

What you bring

• 15+ years of software engineering experience, with 6+ years in engineering leadership roles , including demonstrated experience as a Director or Senior Director managing large, multi-team engineering organizations
• Deep platform engineering background , you've owned and driven the technical direction of foundational backend platforms at scale, not just product features built on top of them
• Experience at the intersection of financial services, trading, brokerage, or adjacent high-criticality domains is a strong plus , you don't need to know all four of our sub-domains, but depth in one or two (market data, clearing, order execution, or brokerage infrastructure) is a meaningful signal
• A track record of driving platform modernization bets that delivered real business outcomes , you've made the case for a large technical investment, executed it, and pointed to the result
• Comfort operating in a high-severity, always-on engineering environment , you've led teams through major incidents and built the systems and culture to minimize their recurrence
• Strong background with distributed systems, backend services at scale, Go or Python, and cloud infrastructure (AWS preferred)
• Background from high-performance engineering organizations in fintech, trading, crypto, or large-scale consumer platforms , companies similar to Robinhood, Coinbase, SoFi, Google, or similar environments where the platform was the business is a strong plus!

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career.
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

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The successful candidate will be responsible for:

Team Leadership and ICT Management

• Leading, developing, and growing a small team of ICT professionals
• Setting the regional ICT strategy, roadmap, and annual operating plan
• Managing local vendors, managed service providers, carriers, and licensing agreements
• Establishing and enforcing regional standards for documentation, change management, incident response, and service delivery

Network and Infrastructure

• Owning the end-to-end regional network
• Designing and maintaining segmented network enclaves
• Delivering connectivity and compute for deployed, remote, and flight-test locations
• Managing server, storage, virtualization, and colocation infrastructure

Cloud and Platform Operations

• Owning regional cloud architecture and operations across AWS and/or Azure
• Ensuring workloads and data reside in appropriate sovereign regions
• Driving infrastructure-as-code, automation, and configuration management
• Managing cloud cost governance, capacity planning, backup, resilience, and disaster recovery

Export Control, Data Classification, and Sovereignty

• Acting as the regional ICT authority for export-control compliance
• Designing and operating access controls that reliably segregate data by nationality, program, clearance, and need-to-know
• Translating Technical Assistance Agreements, licenses, and program security instructions into enforceable IT controls

Security and Compliance

• Maintaining regional alignment to the ASD Essential Eight and the Information Security Manual
• Owning identity and access management, privileged access, endpoint security, logging, and patch and vulnerability management
• Partnering with global security and the regional security officer on incident response, insider-risk controls, audits, assessments, and certification activity

Service Delivery and Program Support

• Delivering reliable day-to-day IT services across Windows, macOS, and Linux endpoints
• Providing high-touch support to regional executives, visiting leaders, customers, and board members
• Providing ICT input into new site establishment, facility fit-out, program bids, and customer engagements
• Managing the regional IT asset lifecycle from procurement and deployment through inventory, licensing, refresh, and secure decommissioning or destruction

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As a Staff Engineer, Platform at Flexport, you will be responsible for evolving the developer platform that powers Flexport engineering. You will talk to engineers, dogfood the platform, and find areas of friction to improve.

Responsibilities

• Own and evolve the developer platform, focusing on making it efficient and user-friendly.
• Design and implement CI/CD pipelines using Buildkit, Github Actions, and other tools.
• Support developers with build tooling, artifact repositories, and backend and frontend developer experience.
• Steward the GraphQL and gRPC ecosystem, ensuring smooth operation.
• Evolve and integrate IAM solutions for secure and easy access.
• Improve container orchestration and observability stacks.
• Conduct user research with developers to inform platform improvements.
• Collaborate with product teams to align and ship impactful changes.

Requirements

• 10+ years of software engineering experience, particularly in building developer platforms or core infrastructure.
• Full-stack instincts with comfort in backend services, frontend build pipelines, Kubernetes manifests, and CI configurations.
• Strong product instincts focused on internal users, identifying valuable projects, and measuring impact.
• Expertise in CI/CD systems, container orchestrators, build tooling, and service communication protocols.
• Ability to thrive in ambiguity, find high-leverage problems, and communicate effectively.
• A helpful attitude with a drive for impact, ensuring every engineer is productive and confident.

Nice to Have

• Experience in data-driven DevX development using metrics like DORA.
• Familiarity with AWS.
• Experience in Identity and Access Management (IAM) at scale.
• Knowledge of Terraform.

Benefits

• Opportunity to contribute to a fast-growing company with global impact.
• Daily catered meals, commute expense coverage, 25 vacation days, health insurance, pension contribution scheme, equity program, employee assistance program, and parental leave benefits.

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As a Software Engineer II, Platform, you will own well-scoped projects within Flexport's developer platform, working closely with a small group of teammates. Your goal will be to design and ship improvements that remove friction for hundreds of engineers relying on your tools.

Responsibilities

• Build paved paths and self-serve tooling that make the right thing the easy thing.
• Develop and support CI/CD pipelines (Buildkite, GitHub Actions), build tooling (Gradle, Bazel, npm/pnpm/bun, Go and Cargo), and artifact repositories (Artifactory, ECR, GitHub).
• Improve the backend and frontend developer experience through projects you scope and deliver.
• Contribute to the GraphQL and gRPC ecosystem, including middleware, federation, and schema sharing.
• Help engineers use and understand container orchestration (Kubernetes, ECS) and observability stack (OpenMetrics, Datadog).
• Gather feedback from internal users, turn it into clear problem statements, and work with your team to prioritize what's worth building.

Requirements

• 2-5 years of software engineering experience, ideally including time spent on developer platforms, internal tooling, or infrastructure.
• Full-stack curiosity with hands-on experience in backend services, frontend build pipelines, Kubernetes manifests, and CI configuration.
• Experience with CI/CD systems (GitHub Actions preferred), container orchestrators (Kubernetes preferred), build tooling, and artifact storage.
• Strong problem-solving skills and ability to understand who you're building for and why.
• Care for internal users, treating engineers as customers, gathering feedback, and checking whether what you shipped actually helped.
• Ownership of your projects from idea to production rollout, keeping stakeholders informed, and raising risks early.
• Pride in fixing what's broken, tackling tech debt, and carrying out migrations.
• Good communication skills, able to write clear design docs, participate in developer interviews, and keep teammates updated.
• Helpful attitude, getting people unblocked and making their work easier.
• Growth mindset, seeking out feedback, learning quickly, and building toward broader scope and impact.

Nice to Have

• Exposure to data-driven DevX development using metrics such as DORA.
• Experience with AWS.
• Familiarity with Identity and Access Management (IAM) concepts.
• Experience with Terraform.

Benefits

• Opportunity to contribute to a fast-growing company with a global impact.
• Daily catered lunches, breakfast, snacks, and soft drinks.
• Commute expenses covered for employees living outside of Amsterdam.
• 25 working days of vacation.
• Health insurance with a collective plan.
• Defined pension contribution scheme.
• Equity program with a direct stake in the company's growth.
• Employee Assistance Program through Aetna Resources for Living.
• Parental leave benefit supporting new parents.

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As a Security Engineer New Grad you will have the opportunity to work across various security disciplines and own projects from start to finish. Your work will focus on securing Stripe's complex environment by applying software engineering principles to security challenges.

Responsibilities:

• Work on cross-functional projects, directly collaborating with other engineers
• Give meaningful feedback on code reviews and technical designs
• Contribute to our overall security posture by continuously improving security processes, tooling, and defenses.
• Develop a deep understanding of Stripe’s security primitives, frameworks, and invariants.
• Provide actionable insights to help identify, prevent, detect, and respond to anomalous or potentially malicious activity.

Requirements:

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science or related field (graduating by Summer 2026)
• Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, Python, JavaScript, Scala, and Go.
• Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)
• Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
• Aptitude to think like an attacker and reason through different approaches to reducing security risk.

Preferred qualifications:

• Experience in code review practices, and an understanding of how to safely update production systems
• Familiarity with navigating and managing work in large code bases
• Prior experience or course work in cyber security, digital forensics, or incident response (e.g., through log analysis or capture-the-flag events).
• Familiarity with foundational security concepts such as the OWASP Top 10 web application vulnerabilities.
• Basic knowledge of SQL or experience analyzing medium to large data sets.
• Exposure to cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• An adversarial mindset, understanding the goals, behaviors, and TTPs (tactics, techniques, and procedures) of threat actors.

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In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on.

Key Responsibilities

• Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
• Build deep partnerships with researchers and Research teams to understand their needs and deliver for them
• Mentor other engineers and help raise the technical bar for the team
• Build alignment on technical direction across multiple teams, working through ambiguous problem spaces
• Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
• Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident

Minimum Qualifications

• Experience designing, building, and operating large-scale distributed systems or infrastructure in production
• Experience independently scoping and delivering complex, ambiguous, multi-month technical projects
• Prior experience as a technical lead or mentor for other engineers
• Experience making architectural decisions that other engineers and teams build on top of
• Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP)
• Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders

Preferred Qualifications

• 10+ years of software engineering experience, not including internships
• Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL)
• Low-level systems experience (e.g., Linux kernel tuning, eBPF)
• Experience applying security or privacy engineering best practices

The annual compensation range for this role is $320,000-$485,000 USD.

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Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the Organization

Payments and Risk Sub-orgs within Payments and Risk: Link and OCS, Payments Acceptance, Risk

The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. Optimized Checkout and Link teams work to create best-in-class checkout experiences that enhance customer satisfaction and drive merchant conversion rates. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability.

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

We’re looking for Backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product – at Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests
• Debug and solve critical production issues across services and multiple levels of the stack
• Mentor engineers to help them grow
• Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes
• Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops)
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)

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Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Staff Software Engineer, Platform & Infrastructure

Tagline: Build the engine that builds Okta.

🚀 Your Mission: Define the Future of Developer Velocity at Okta

Are you a software engineer who believes that an exceptional developer platform is the key to unlocking engineering-wide innovation? Are you obsessed with building the high-leverage tools, services, and automated infrastructure that make building, testing, and deploying software a seamless experience?

Okta's Platform & Infrastructure team is the central nervous system for all of Okta Engineering. We build and own the entire internal developer platform,the CI/CD pipelines, the build-and-test orchestration, and the multi-cloud infrastructure that powers it all. This isn't just about maintaining systems. It's about building a scalable, resilient, and blazing-fast "paved road" that empowers hundreds of engineers to ship high-quality code, multiple times a day.

Our scale is immense. We run tens of thousands of automated tests for every single commit. As Okta grows, this CI/CD workload presents a monumental engineering challenge. Your primary goal will be to attack this problem head-on. You will be a key builder in our quest to shrink massive, distributed compute jobs from hours or days down to just minutes. This role requires deep systems thinking, clever orchestration, and a passion for wringing every last drop of performance out of the infrastructure.

💻 What You'll Do (The Impact)

As a Staff Engineer, you are a technical leader, architect, and hands-on builder. You will:

• Architect & Build: Design, code, and operate the next generation of our CI/CD platform, primarily using Go (Golang) and Python.
• Master Kubernetes: Leverage your deep Kubernetes (K8s) expertise to orchestrate our complex and ephemeral build, test, and deployment workflows at massive scale.
• Own the Multi-Cloud: Build services and automation that abstract and manage workloads extensively across AWS, GCP, and Azure, optimizing for cost, speed, and reliability.
• Build a Platform, Not Just Tools: Create robust, self-service, and elegant internal products for our engineers. You'll treat our internal developers as your first-class customers.
• Drive Innovation: You will not just use our build and CI systems, you will be responsible for building and scaling them.
• Mentor & Lead: Collaborate with peers, mentor other engineers, and set the technical direction for major platform initiatives.

✅ What You'll Bring (The Requirements)

We are looking for a seasoned engineer who has built and scaled internal platforms before.

• 5+ years of experience in Software Engineering
• Coding Skills: You are a strong software engineer first, with proven experience building and maintaining complex systems in Go (Golang) and/or Python.
• Kubernetes is a Must: You have deep, practical experience building, running, and troubleshooting workloads on Kubernetes. You understand pods, operators, scheduling, and networking inside and out.
• CI/CD as a Platform: You have architected, built, and/or significantly scaled CI/CD pipelines (e.g., Jenkins, GitLab, Tekton, ArgoCD) as a platform for other engineers, not just as an end-user.
• Cloud Expertise: You have demonstrable experience working in major cloud providers (AWS, GCP, Azure) and understand the nuances of their core services.
• The Platform Ecosystem: You're fluent in the tools of the trade: Docker, container registries (like Artifactory), and modern build systems (like Gradle or Bazel).
• Platform Mindset: You are customer-obsessed (your customers are other engineers) and have a proven ability to lead complex, cross-functional projects to completion.
• Education: B.S. in Computer Science, equivalent technical experience, or just a proven track record of shipping incredible systems.

The Okta Experience - Supporting Your Well-Being - Driving Social Impact - Developing Talent and Fostering Connection + Community

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You'll partner closely with engineering and product leadership to drive complex, cross-functional initiatives that span multiple teams and require someone who can bring structure, alignment, and momentum.

Responsibilities:

• Define and drive the roadmap for high-impact, cross-functional initiatives in the Growth pillar and beyond, aligning engineering and product leadership around a shared vision, sequencing the work, and holding teams accountable to outcomes.
• Lead organizational change management as engineering teams adopt new ways of working , building alignment, communicating progress to executives and ICs alike, and helping teams internalize new processes and tooling.
• Lead the delivery of strategic, high-impact cross-functional initiatives from conceptualization to launch, operating with significant autonomy across multiple workstreams.
• Partner with engineering, product, data science, QA, and executive leadership to ensure communication and alignment; serve as the connective tissue between Duolingo strategy and day-to-day execution.
• Leverage deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, resolve dependencies, remove blockers, and ensure timely and smooth launches.
• Drive decisions when difficult tradeoffs must be made, including those with cross-organizational or company-level impact; model how to navigate hard problems with analytical rigor and a calm, decisive presence.
• Identify systemic issues impacting delivery efficiency company-wide and take swift, collaborative action to resolve them.
• Guide and develop other TPMs and engineering leads, scaling best practices across teams and continuously improving how the organization operates.

Requirements:

• Proven experience as a TPM, Engineering Lead, or Engineering Manager.
• B.S. or M.S. in Computer Science or equivalent degree or experience.
• Demonstrated experience leading large-scale technical transformation programs with measurable organizational impact.
• Strong executive presence and influence in a matrix environment.
• Deep technical credibility.
• Proven ability to build and implement detailed plans that account for ambiguity, dependencies, and technical complexity.
• A track record of standing up new programs or practices from scratch in ambiguous, high-visibility environments.
• Ability to relocate to NYC.

Exceptional candidates will have:

• Strong knowledge of software engineering, systems engineering, or similar hands-on technical experience, in addition to program management experience.
• Strong conceptual fluency in LLM-based products and AI infrastructure.
• Experience running programs that include machine learning, large datasets, or AI/ML infrastructure.
• Experience working with AWS at scale.

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As a Senior Software Engineer, Cloud, you'll build and operate reliable cloud services on AWS and Cloudflare, draw on experience with compute, storage, networking, and managed infrastructure, and evolve the infrastructure that powers web applications and AI agents on Webflow Cloud.

Responsibilities:

• Build and operate reliable cloud services on AWS and Cloudflare
• Evolve the infrastructure that powers web applications and AI agents on Webflow Cloud
• Participate in the team's on-call rotation, investigate production incidents, and drive improvements that prevent recurring issues
• Utilize CDN and edge compute capabilities that help customers deliver fast, resilient websites and applications around the world
• Own features from customer problem through design, implementation, rollout, and ongoing improvement
• Use AI-assisted development practices to accelerate delivery while applying sound engineering judgment, rigorous validation, and clear accountability for code quality
• Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams

Requirements:

• BA/BS Degree or equivalent experience
• 5+ years building and operating backend services in production
• Demonstrated experience in backend service design defining service boundaries, contracts, and data ownership
• Business-level fluency to read, write, and speak in English

Nice to have:

• Experience building and operating production services on AWS, Cloudflare, or similar cloud platforms
• Experience designing data models, optimizing queries, and operating production databases such as PostgreSQL or MongoDB
• Fluency in TypeScript and Node.js, and comfort with edge runtimes
• Understanding of modern website and web application architecture, including HTTP, caching, CDNs, and edge compute

Benefits:

• Ownership in what you help build
• Health coverage that actually covers you
• Support for every stage of family life
• Time off that's actually off
• Wellness for the whole you
• Invest in your future
• Monthly stipends that flex with your life
• Bonus for building together

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Impact You'll Make

• Ensure the annual AWS joint marketing plan delivers against agreed GTM priorities and assigned partner pipeline targets aligned to Databricks' strategic products.
• Deploy AWS Marketing Development Funds (MDF) through clear investment tiers, approval workflows, vendor governance, and ROI reporting.
• Produce agreed engagement, demand, and opportunity outcomes through coordinated events, content, demos, and activations at AWS re:Invent and other events.
• Generate net-new demand and support active opportunities with AWS and strategic AI/ISV co-marketing programs.
• Increase awareness and create demand for Databricks solutions with joint marketing plans, messaging, and customer-use-case campaigns.
• Support created content in joint-marketing plans with solution briefs, integration use cases, campaign assets, and customer proof points.
• Launch product features and integrations with AI/ISV partners, along with customer stories or joint announcements.
• Scale partner marketing motions and communications across regions with standardized campaign kits and enablement touchpoints.

What We Look For

• 7+ years of experience in partner marketing, alliance marketing, or product marketing within enterprise software, cloud, or SaaS companies.
• Demonstrated experience building and executing joint marketing programs with AWS or comparable cloud and technology partners.
• Experience managing MDF, co-op funds, or joint marketing budgets, including investment governance and ROI measurement.
• Ability to translate cloud, data, AI/ML, data engineering, data warehousing, or analytics capabilities into differentiated joint messaging and customer use cases.
• Proven ability to create customer-facing marketing content.
• Strong program-management and cross-functional leadership experience.
• Track record of moving complex programs from strategy to execution in a fast-paced, high-growth environment.

Pay Range Transparency The pay range for this role is: Zone 1 Pay Range: $163,400-$224,750 USD Zone 2 Pay Range: $147,100-$202,300 USD Zone 3 Pay Range: $139,000-$191,050 USD Zone 4 Pay Range: $130,700-$179,750 USD

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You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to make realtime products like Lakebase, Neon, and Model Serving reliable, secure, and scalable in production.

The Impact You'll Have

Observability

• Build advanced monitoring and detection capabilities for early warnings of issues and deep insights into workload performance and customer experience.
• Create reliable, observable automation for debugging and incident mitigation.

Reliability

• Improve service reliability, scalability, security, and operational efficiency.
• Develop dependable, safe mitigations for production issues.

On-Call & Incident Response

• Participate in a follow-the-sun on-call rotation and lead incident response and mitigation.
• Perform root-cause analysis and implement lasting corrective actions.
• Collaborate with Product Engineering, Security, Support, and infrastructure teams on follow-up actions.

What We Look For

Experience

• 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, or backend software engineering.
• Experience in holistic monitoring and alerting of complex stateful systems.
• Experience with PostgreSQL or related managed databases and distributed systems.
• Experience in incident management and participating in on-call rotations for critical infrastructure.

Skillset

• A mindset focused on automation, root-cause resolution, and continuous improvement.
• Strong programming skills in languages such as Python, Go, Java, Scala, or similar.
• Proficiency with infrastructure automation and Infrastructure as Code.
• Ability to work across system boundaries and collaborate effectively during complex incidents.
• Experience using AI to address production and operational challenges.

Bonus

• Experience with AWS, Azure, or GCP.
• Experience with Lakebase or Neon.
• Experience with Kubernetes or Terraform.

Education

• BS degree (or higher) in Computer Science, or a related field.

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Anthropic's Infrastructure organisation builds and operates the distributed systems that train, serve, and secure our AI models. Every other team at Anthropic depends on these systems.

In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on. This is a cross-functional systems team: you'll scope and lead complex, multi-month infrastructure projects and resolve the performance and scalability bottlenecks that limit how fast we can grow.

Key Responsibilities

• Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
• Build deep partnerships with researchers and Research teams to understand their needs and deliver for them
• Mentor other engineers and help raise the technical bar for the team
• Build alignment on technical direction across multiple teams, working through ambiguous problem spaces
• Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
• Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident

Minimum Qualifications

• Experience designing, building, and operating large-scale distributed systems or infrastructure in production
• Experience independently scoping and delivering complex, ambiguous, multi-month technical projects
• Prior experience as a technical lead or mentor for other engineers
• Experience making architectural decisions that other engineers and teams build on top of
• Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP)
• Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders

Preferred Qualifications

• 10+ years of software engineering experience, not including internships
• Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL)
• Low-level systems experience (e.g., Linux kernel tuning, eBPF)
• Experience applying security or privacy engineering best practices

The annual compensation range for this role is $320,000-$485,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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As a Staff Software Engineer on the Authentication team, you will set technical direction for the cloud services and infrastructure behind Passport, guiding the team through its continued migration to the cloud platform. You will operate beyond a single service or sprint, leading complex, multi-quarter initiatives that improve the reliability, scalability, performance, and security posture of Authentication's systems.

Responsibilities:

• Define and evolve the technical strategy and architectural direction for Passport's cloud services, spanning multiple subsystems and workflows.
• Lead high-impact, ambiguous initiatives from problem framing and design through implementation, rollout, and operational follow-through, using Go and Python.
• Set technical standards and reusable patterns for cloud-native services across AWS and GCP, including services such as Kinesis, DynamoDB, and S3, with a focus on reliability, scale, and secure production operation.
• Make and communicate consequential tradeoffs involving reliability, scalability, latency, security, cost, and time to market.
• Anticipate systemic risks, identify architectural gaps, and drive mitigation before they affect customers, delivery velocity, or operational stability.
• Partner closely with software engineering, test engineering, research, product teams to align roadmaps and deliver new capabilities.
• Lead technical reviews and facilitate alignment on complex design decisions, migration strategies, and ownership boundaries.
• Participate in incident response for critical systems, translating operational learnings into durable improvements in alerting, runbooks, deployment quality, and service ownership, using modern observability tooling to reduce ticket volume.
• Raise the effectiveness of engineers across the team through mentorship, code reviews, technical guidance, and hands-on collaboration.
• Participate in the team's on-call rotation, including helping cover after-hours alerts as the team expands distributed support coverage.

Requirements:

• 8+ years of professional software development experience building backend services and APIs, or equivalent practical depth.
• Demonstrated Staff-level impact: leading significant technical initiatives across multiple services or domains and delivering measurable outcomes.
• Strong hands-on experience with Go, Python, or similar languages, plus a deep foundation in data structures, algorithms, concurrency, and Linux-based development.
• Deep experience designing and operating cloud-native systems in AWS or GCP, including managed services such as S3, DynamoDB, Kinesis, and IAM.
• Proven ownership of highly available systems, including deployment, monitoring, troubleshooting, incident response, and operational improvement, using CI/CD, Docker, and Kubernetes.
• Experience defining or influencing technical standards, architecture, or roadmaps across team boundaries.
• Strong written and verbal communication skills, including the ability to document decisions and build alignment among stakeholders with different priorities.

Nice-to-haves:

• Experience with backend data stores and messaging technologies such as Redis, MySQL, RabbitMQ, and Elasticsearch.
• Experience in authentication, identity, fraud prevention, or other security-sensitive product environments.
• Strong observability practices across metrics, logs, and traces, with a track record of using them to drive production diagnostics.
• Experience leading large-scale migrations, reliability programs, or cost and capacity optimization efforts.
• Experience designing internal platforms, developer tooling, or reusable engineering patterns adopted by multiple teams.
• Exposure to UI work or adjacent product experiences that connect backend systems to customer-facing workflows.

Benefits:

• Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success.
• Remote-first environment - giving you flexibility and autonomy in how you structure your day.
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan!
• Best-in-class Health Savings Account (HSA) employer contribution
• Low-cost vision and dental plans for you and your family, providing comprehensive coverage and peace of mind.
• Paid Parental Leave - Including birth, adoptive & foster parents
• One year of diaper delivery for your newest addition to the family!
• Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work.
• Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs.
• Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education.

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Responsibilities:

• Design, build, test, and maintain cloud services and workflows that support Passport and Authentication systems.
• Contribute to projects from design and implementation through rollout and operational support, primarily using Go and Python.
• Develop and operate cloud-native services across AWS and GCP, including technologies such as Kinesis, DynamoDB, and S3.
• Apply established engineering patterns and contribute improvements to service reliability, scalability, performance, security, and maintainability.
• Participate in technical discussions and help evaluate tradeoffs involving reliability, latency, security, cost, complexity, and delivery timelines.
• Identify technical issues and operational risks within the systems you work on and collaborate with the team to address them.
• Partner with software engineering, test engineering, research, and product teams to deliver new capabilities and improve existing systems.
• Participate in code reviews, design reviews, and technical discussions, providing constructive feedback and learning from other engineers.
• Help investigate and resolve production issues, and turn operational learnings into improvements to monitoring, alerting, runbooks, deployments, and service quality.
• Use modern observability tools to understand system behaviour, troubleshoot issues, and reduce recurring operational problems.
• Contribute to the team's engineering practices through documentation, knowledge sharing, and collaboration.
• Participate in the team's on-call rotation, including helping cover after-hours alerts as distributed support coverage expands.

Requirements:

• 2-5 years of Software engineering experience
• Expertise in programming language of Golang (Go)
• Experience with cloud computing environments, especially AWS or GCP
• Familiarity with Data Structures, Algorithms, and Concurrency
• Knowledge of different Data Storage technologies such as Redis, MySQL, etc.
• Knowledge of Docker and container orchestration frameworks such as Kubernetes
• Ideally, experience with AWS managed services such as S3, ElastiCache and DynamoDB
• Linux/Unix system internals.
• Proven track record of providing stable and secure code in production environments
• Experience building microservices and RESTful APIs preferred
• CI/CD pipelines using tools such as GIT, Jenkins, Spinnaker preferred
• Experience with infrastructure as code tools like Terraform or AWS CDK preferred
• Experience with Python preferred

Benefits:

• Competitive compensation, including equity for all employees
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans to choose from - including an employer-provided “employee-only” plan!
• Best-in-class Health Savings Account (HSA) employer contribution
• Affordable vision and dental plans for you and your family
• Employer-provided life and disability coverage with additional supplemental options
• Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents
• One year of diaper delivery for your newest addition to the family!
• Identity protection through Norton LifeLock
• Remote-first culture with opportunities for in-person team events
• New hire and recurring monthly home office allowance
• Happy hours, ping pong and foosball, drinks and snacks, and monthly massages!
• Remote and in-person team activities
• Company holidays
• Annual professional development and learning benefit
• Pick your own Apple MacBook Pro
• Retirement plan with competitive 401(k) match
• Wellness Program including Employee Assistance Program, 24/7 Telemedicine

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The mission of our team is to build a scalable and secure AI platform that enables security teams across Robinhood to develop and operate AI-powered agents and security solutions with confidence. As a Staff Software Engineer on the AI Security team, you’ll help lead and build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale. You’ll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a particular focus on areas such as identity, authentication, authorization, encryption, and platform safety. You’ll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start. This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security. This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Design and build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities
• Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows
• Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls
• Build and operate reliable, large-scale distributed systems that support AI-powered security use cases
• Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents
• Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities
• Identify opportunities to improve platform performance, developer experience, reliability, and security through automation
• Help shape the technical direction and architecture of Robinhood’s AI Security platform as the team and platform continue to grow

What you bring

• 8+ years of software development experience
• 6+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption
• Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents
• Proficiency in Go or Python, with strong problem-solving and production debugging skills
• Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka
• Strong understanding of security fundamentals and experience incorporating security into the design of production systems
• Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling
• Proven experience delivering large engineering projects with meaningful, long-term impact
• Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience
• Ability to solve complex engineering problems and collaborate effectively across security and engineering teams

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$230,000-$270,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)$203,000-$238,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$180,000-$211,000 USD

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As a Staff Software Engineer on the Cloud Infrastructure team at Gusto, you'll build automation and evolve foundational systems that support Gusto's products.

About the Role

This is a code-driven infrastructure role, well suited to someone with a DevOps, SRE, or platform engineering background who enjoys solving problems that help other engineers work more effectively. You'll help set the architecture, Infrastructure-as-Code patterns, and operational standards that every Gusto engineer builds on, with real autonomy over how it gets done. Key opportunities include migrating production applications into a modern AWS multi-account architecture, strengthening disaster recovery and compliance, and improving the speed and reliability of our infrastructure tooling.

About the Team

Gusto's Cloud Infrastructure team builds and operates the AWS foundations that the rest of our engineering organization depends on. We manage infrastructure as code with Terraform/OpenTofu and run Spacelift, the platform hundreds of engineers use daily to deploy infrastructure changes.

Responsibilities

• Build and maintain AWS infrastructure using Terraform/OpenTofu, with changes managed through code rather than manual configuration.
• Improve the speed, reliability, and usability of Spacelift workflows used by engineering teams across Gusto.
• Partner with application and infrastructure teams to migrate production services into a modern AWS multi-account architecture.
• Strengthen disaster recovery and compliance readiness by implementing and testing infrastructure resilience.
• Refactor infrastructure code into modular, reusable components that simplify maintenance and future development.
• Support engineering teams with cloud infrastructure needs, troubleshooting, and vendor integrations.
• Leverage AI-assisted tools to accelerate infrastructure development, improve troubleshooting, and identify automation opportunities while maintaining a high bar for security, correctness, and reliability.
• Participate in an on-call rotation focused on internal engineering support, turning recurring issues into automation and lasting improvements.

Requirements

• 8+ years of hands-on experience in infrastructure, platform, or site reliability engineering.
• Deep, production-level AWS expertise across compute, networking, identity, and security primitives.
• Demonstrated mastery of Infrastructure as Code (Terraform/OpenTofu strongly preferred; Crossplane, CloudFormation, or similar) including module design, state management, and scalable patterns for large teams.
• Experience with multi-account AWS governance , AWS Organizations, OU design, SCPs/RCPs, and federated identity via IAM Identity Center or equivalent SSO.
• Hands-on experience with a managed IaC orchestration platform (Spacelift, Terraform Cloud, etc.).
• Experience operating production infrastructure for a customer-facing SaaS platform, including observability (monitoring, logging, alerting) and participating in incident response.
• Track record of driving multi-quarter infrastructure initiatives to completion with minimal direction.

Nice to Have

• Operating Terraform/OpenTofu at large scale , managing thousands of workspaces or state files, module registries and versioning strategy, drift detection and remediation, and policy-as-code enforcement.
• Experience in compliance-regulated environments (SOC 2, PCI, NIST).
• Solid cloud networking foundations: VPC design, IP address management, DNS, egress control, and centralized traffic inspection.

Compensation

• Cash compensation: $163,000–$204,000 in Denver, and $197,000–$247,000 for San Francisco & New York.
• Stock equity is additional.

Work Environment

• Hybrid work model in Denver, San Francisco, and New York offices.
• Onsite work expected 2-3 days per week.

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Responsibilities

• Build an identity engine that powers the whole company and supercharges the security program
• Create applications that enable and enforce the identity framework across the company
• Develop integrations that unify identities across IdPs, cloud providers, SaaS tools, and internal systems
• Automate identity lifecycle operations: provisioning, access reviews, offboarding
• Collaborate with other IAM engineers and partner teams to define architecture and ship iteratively

Required Qualifications

• Strong programming ability in one or more general-purpose languages (Go, Rust, etc.)
• Experience with one or more infrastructure-as-code languages (e.g., Terraform, AWS CDK) in a production capacity
• Experience with identity protocols (SAML, OIDC, SCIM, OAuth) or identity providers (Okta, Azure AD, etc.)
• Proven ability to translate system design requirements into clean, maintainable implementations
• Experience leading or contributing to architecture and design reviews
• Experience working with cloud platforms and deploying applications through CI/CD pipelines
• Ability to work autonomously, take ownership of projects, and collaborate across teams
• Eligible to obtain and maintain a U.S. TS clearance

Preferred Qualifications

• Experience working in environments with complex identity or access issues, troubleshooting across distributed systems
• Familiarity with RBAC, ABAC, or policy-as-code frameworks (e.g., OPA, Cedar)
• Experience building bespoke solutions in high-growth and high-complexity environments
• Experience with AWS, Azure, or GCP ecosystems and tooling

Benefits

Anduril offers a comprehensive, competitive benefits package, including top-tier benefits for full-time employees.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

What You'll Be Doing

• Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP.
• Lead major reliability and modernisation initiatives, including container platform migrations and microservice enablement across multi-cloud environments.
• Serve as a technical authority in Kubernetes, cloud infrastructure, and modern CI/CD practices.
• Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability.
• Implement and manage infrastructure as code to automate provisioning, scaling, and configuration management across multiple cloud providers.
• Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems.
• Champion SRE best practices , defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response.
• Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams.
• Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning.
• Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards.
• Participate in the on-call rotation, using incidents as learning opportunities to enhance systems and processes.

What You'll Bring to the Role:

• Strong hands-on experience architecting and operating cloud-native distributed systems.
• Deep expertise with Kubernetes , design, provisioning, scaling, and advanced troubleshooting in production.
• Proven experience leading ECS to EKS/GKE migrations and driving microservice enablement initiatives at scale.
• Proficiency with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.
• Solid coding and scripting ability in Python, Go, or Shell, with a focus on automation, tooling, and operational excellence.
• Advanced understanding of CI/CD pipelines, Linux systems, and networking fundamentals.
• Experience managing databases and caching systems in cloud environments.
• Hands-on experience with observability tools for performance and reliability insights.
• Working knowledge of container security, secrets management, and compliance in production environments.
• Strong communication and problem-solving skills, with demonstrated success leading cross-team projects and mentoring peers.

Experience:

• 8+ years in SRE, DevOps, or Infrastructure Engineering roles.
• 3–5 years of experience with Kubernetes and related ecosystem tools in production.
• 3–5 years of experience with AWS and GCP.
• 3–5 years using Terraform to manage multi-cloud infrastructure.
• 5+ years of coding experience in Python, Go, or similar languages.
• Proven track record leading high-impact projects, specifically migration projects and enabling microservice architectures.
• Experience implementing SLOs/SLIs, performing root cause analyses, and improving operational resilience.
• Prior work in SaaS or high-scale, cloud-native environments is a strong plus.
• Strong Linux and security fundamentals.
• Bachelor's degree in Computer Science or equivalent hands-on experience.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

Title of Job: Sr. Software Engineer

We are looking for a Senior Software engineer who is passionate about writing the tools to integrate and support to build large-scale, high-demand software in a fast-paced agile environment. You will share our passion for test-driven development, continuous integration and automation to produce frequent high-quality releases.

Our engineering team is fast, innovative and flexible; with a weekly release cycle and individual ownership. We expect great things from our engineers and reward them with stimulating new projects, emerging technologies and the chance to be part of a company that is changing the cloud computing landscape forever.

You will get an opportunity to work in scaling our infrastructure to the next generation. Our scale is already huge in running tens of thousands of tests for every commit automatically. This comes with challenges in speed by reducing compute time from days to a few minutes.

Responsibilities:

• You will be part of the team that builds, maintains, and improves our highly-automated build, release and testing infrastructure.
• Scripting, tools-building, and automation are paramount to Okta Engineering; everybody automates. You will be creating and coding tools for internal use to support continuous delivery.
• Team up with Development, QA and Ops to continuously innovate and enhance our build and automation infrastructure
• Collaborate with peers and stake-holders to create new tools/process/technology. We use the latest technology from AWS and you can experiment, recommend, and implement new technologies in our build and CI system.
• Work with internal customers to roll-out projects and process, monitor adoption, collect feedback, and fine-tune the project to respond to internal customers’ needs.

Requirements:

• 3+ years of experience with one or more programming languages including Python, Go, Java, Javascript
• Good understanding of application development, micro services architecture and successful elements of a multi-service ecosystem
• Ability to coordinate cross-functional work towards task completion.
• Understanding of Agile methodologies is a plus.
• Past experience working on AWS or K8S
• Good understanding of virtualization, dynamic provisioning, Docker, AWS and Linux
• Experience in Kubernetes is a plus
• B.S. Computer Science or equivalent.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Staff Software Engineer - Full-stack

Get to Know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology,anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box,we are looking for lifelong learners and people who can make us better with their unique experiences and backgrounds.

Join our team! We are building a world where Identity belongs to you.

Identity Security Pillar

Okta's Identity Security Pillar is at the forefront of defending modern enterprise environments against sophisticated identity-centric attacks. As enterprise attack surfaces expand across clouds, SaaS ecosystems, and hybrid networks, our pillar delivers unified, next-generation security capabilities that protect organizations across the entire threat lifecycle.

Joining our pillar gives you the unique opportunity to build and impact diverse, cutting-edge products across the security domain, including:

• Identity Security Posture Management (ISPM): Delivering continuous, contextual visibility into complex identity infrastructure, surfacing misconfigurations, eliminating toxic combinations of permissions, and reducing overall attack surfaces.

• Identity Threat Protection (ITP): ITP delivers real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers.

• Identity Threat Detection & Response (ITDR): Detecting sophisticated credential compromise, privilege escalation, and lateral movement with speed and automated response capabilities.

As we expand our engineering footprint in India, you will be a foundational member of a high-impact team driving architectural scale, technical innovation, and product synergy across this critical pillar.

What You’ll Be Doing

As a Staff Software Engineer on the team, you will play a pivotal, hands-on role in scaling our foundational platforms and web applications, with a primary emphasis on backend architecture and distributed services. You will partner closely with distributed teams to deliver robust, high-performance security solutions.

Key Responsibilities:

• Design and build high-quality backend services while collaborating with frontend developers to ensure seamless integration across the stack.

• Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring.

• Collaborate with product and R&D engineers to translate product requirements into robust technical solutions.

• Identify and resolve technical issues and performance bottlenecks within the backend systems.

• Stay up to date with the latest industry trends and technologies to continuously improve our backend services and overall application performance.

• Be a mentor to colleagues and help promote knowledge sharing within the team.

What You’ll Bring to the Role

• Experience: 8+ years of professional software engineering experience building and maintaining complex, enterprise-grade distributed systems in high-growth environments.

• Backend Expertise: 6+ years of hands-on experience designing and implementing backend services using Node.js and modern TypeScript.

• Frontend Knowledge: Proven working familiarity with modern frontend frameworks, specifically React, enabling seamless collaboration and full-stack ownership.

• Architectural Mastery: Deep knowledge of RESTful API design, microservices architecture, asynchronous event-driven design, and data persistence patterns.

• Database & Storage Systems: Practical experience working with relational databases as well as NoSQL/caching stores.

• System Principles: Strong foundation in computer science fundamentals, data structures, algorithms, and scalable software design patterns.

• Collaboration & Mindset: Excellent analytical and problem-solving skills, paired with strong communication abilities to collaborate across distributed, global engineering teams.

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience).

Extra Credit: If You Have Experience In

• Frameworks such as NestJS or similar enterprise-grade Node.js server frameworks.

• Modern cloud platforms (particularly AWS) and container orchestration.

• Identity and security domains (IAM, OAuth, OIDC, SAML, posture management, threat detection, or cloud security).

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

What You'll Be Doing

• Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP.
• Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments.
• Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines).
• Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability.
• Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers.
• Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP.
• Champion SRE best practices , defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response.
• Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams.
• Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning.
• Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity).
• Participate in the on-call rotation, using incidents as learning opportunities to enhance systems and processes.

What You'll Bring to the Role:

• Strong hands-on experience architecting and operating cloud-native distributed systems (AWS and GCP).
• Deep expertise with Kubernetes (EKS and GKE) , design, provisioning, scaling, and advanced troubleshooting in production.
• Proven experience leading ECS to EKS/GKE migrations and driving microservice enablement initiatives at scale.
• Proficiency with Infrastructure as Code tools such as Terraform (multi-provider), Ansible, or CloudFormation.
• Solid coding and scripting ability in Python, Go, or Shell, with a focus on automation, tooling, and operational excellence.
• Advanced understanding of CI/CD pipelines (ArgoCD, GitLab CI, Spinnaker), Linux systems, and networking fundamentals (Direct Connect/Interconnect, DNS, routing, load balancing).
• Experience managing databases and caching systems (e.g., RDS/Cloud SQL, Redis/Memorystore, PostgreSQL, MySQL) in cloud environments.
• Hands-on experience with observability tools (Prometheus, Grafana, ELK, Loki, OpenTelemetry, Google Cloud Operations) for performance and reliability insights.
• Working knowledge of container security, secrets management (HashiCorp Vault, AWS Secrets Manager, Google Secret Manager), and compliance in production environments.
• Strong communication and problem-solving skills, with demonstrated success leading cross-team projects and mentoring peers.

Experience:

• 5+ years in SRE, DevOps, or Infrastructure Engineering roles.
• 3–5 years of experience with Kubernetes (EKS/GKE) and related ecosystem tools (Helm, Karpenter, etc.) in production.
• 3–5 years of experience with AWS and GCP.
• 3–5 years using Terraform to manage multi-cloud infrastructure.
• 5+ years of coding experience in Python, Go, or similar languages.
• Proven track record leading high-impact projects, specifically migration projects (ECS → EKS/GKE) and enabling microservice architectures.
• Experience implementing SLOs/SLIs, performing root cause analyses, and improving operational resilience.
• Prior work in SaaS or high-scale, cloud-native environments is a strong plus.
• Strong Linux and security fundamentals.
• Bachelor’s degree in Computer Science or equivalent hands-on experience.

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As a Staff Software Engineer on the Cloud Infrastructure team, you'll build automation and evolve the foundational systems that support Gusto's products.

Key opportunities include:

• Migrating production applications into a modern AWS multi-account architecture
• Strengthening disaster recovery and compliance
• Improving the speed and reliability of our infrastructure tooling

Responsibilities:

• Build and maintain AWS infrastructure using Terraform/OpenTofu
• Improve Spacelift workflows used by engineering teams
• Partner with application and infrastructure teams to migrate production services
• Strengthen disaster recovery and compliance readiness
• Refactor infrastructure code into modular, reusable components
• Support engineering teams with cloud infrastructure needs
• Leverage AI-assisted tools to accelerate infrastructure development
• Participate in on-call rotation focused on internal engineering support

Requirements:

• 8+ years of hands-on experience in infrastructure, platform, or site reliability engineering
• Deep, production-level AWS expertise
• Demonstrated mastery of Infrastructure as Code (Terraform/OpenTofu)
• Experience with multi-account AWS governance
• Hands-on experience with a managed IaC orchestration platform (Spacelift)
• Experience operating production infrastructure for a customer-facing SaaS platform
• Track record of driving multi-quarter infrastructure initiatives to completion

Nice to have:

• Operating Terraform/OpenTofu at large scale
• Experience in compliance-regulated environments
• Solid cloud networking foundations

We offer competitive base pay, benefits, and equity (RSUs). The cash compensation amount for this role is targeted at 163,000–204,000 in Denver, and 197,000–247,000 for San Francisco & New York. Stock equity is additional.

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Responsibilities:

• Design, build, and maintain efficient, reusable, and reliable code for both client-side and server-side applications
• Architect scalable, secure, and maintainable software solutions in collaboration with technical leads
• Develop and integrate RESTful APIs and/or GraphQL services
• Collaborate with UX/UI designers to translate wireframes and mockups into responsive, high-performing front-end interfaces
• Design and optimize database schemas (SQL and/or NoSQL) for performance and scalability
• Write comprehensive unit, integration, and end-to-end tests to ensure code quality
• Participate in code reviews, providing constructive feedback to peers
• Troubleshoot, debug, and resolve production issues in a timely manner
• Mentor junior and mid-level developers, promoting best practices and continuous learning
• Contribute to technical documentation, architecture diagrams, and system design decisions
• Work within Agile/Scrum frameworks, participating in sprint planning, stand-ups, and retrospectives
• Stay current with emerging technologies and recommend improvements to existing systems and processes
• Collaborate with DevOps teams on CI/CD pipelines, deployment strategies, and infrastructure as code

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
• 5+ years of professional experience in full stack software development
• Strong proficiency in front-end technologies (JavaScript, TypeScript, Angular and/or React, and Frontend State Management)
• Strong proficiency in back-end technologies (e.g., C++, Node.js, Java, Python, C#/.NET)
• Experience with relational databases (e.g., PostgreSQL, MySQL, Oracle) and/or NoSQL databases (e.g., MongoDB, DynamoDB)
• Deploy and manage applications on Tomcat and IIS web/application servers
• Solid understanding of RESTful API design and microservices architecture
• Experience with version control systems (Git) and collaborative development workflows
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus
• Strong understanding of software design patterns, data structures, and algorithms
• Excellent problem-solving, analytical, and communication skills

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time

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Principal responsibilities:

• Design and engineer software with the customer/user experience as a key objective.
• Work within a feature team to engineer software, scripts and tools to enable the delivery of bank’s products and services.
• Design, develop and deploy applications capable of meeting the anticipated load, performance, availability, security and resilience requirements.
• Design and develop software with a focus on automation of build, testing and deployment process on all environments to minimize variation and ensure predictable high quality code and data.
• Ensure compliance with all relevant controls and standards including relevant Service Management Standard.
• Provide support in identification and resolution of all incidents associated with the IT service, as directed by leadership of the DevOps team.
• Ensure service resilience, service sustainability and recovery time objectives are met for all the software solutions delivered.
• Responsible for automating the continuous integration / continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement.
• Keep up to date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc.

Requirements:

• Knowledge of selected coding languages and IT frameworks (e.g. Java, JavaScript, AngularJS/Node.js, HTML/H5, micro-service development, RESTful API development, web development, mobile development, cloud, distributed development).
• Familiarity with agile project management skill / methodology is preferred.
• Familiarity with following tools is preferred: SpringBoot/SpringCloud, IntelJ, MangoDB, PCF/AWS, Mulesoft Anypoint Studio, Adobe Experience Manager.
• Strong communication skills.
• Experience in relevant messaging system is preferred.
• Team management experience is preferred, especially for co-location team management.

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