Your primary focus will be on delivering an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to achieve this goal.

Key responsibilities include:

• Providing meaningful input to technical designs and direct hands-on contributions to projects in the cloud networking space
• Growing, leading, and managing a small team of talented engineers
• Supporting your team's professional growth and maintaining high performance through mentorship and coaching
• Working with tech leads, peers, and partners to define and execute on a coherent vision and roadmap for Airbnb's cloud network infrastructure and related components
• Working with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services
• Building cross-region gateways and load balancers for global Airbnb services
• Working with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services
• Nurturing a culture of technical quality from design, through code review, to production
• Building strong partnership and alignment with teams across engineering
• Nurturing relationships with open source communities and external service partners

As a successful candidate, you will have a strong background in engineering management, with 2+ years of experience and 8+ years of relevant software development experience in a fast-paced tech environment. You will also have experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, as well as experience running large-scale networking systems and software (e.g. proxies, DNS, gateways).

Additionally, you will have excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.). You will also have strong problem-solving skills and experience leading teams on-call for production infrastructure.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

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.

Okta's Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Staff Site Reliability Engineer to join a team focused on designing and developing Security solutions to harden our cloud infrastructure.

We encourage you to prescribe defence-in-depth measures, industry security standards and enforce the principle of least privilege to help take our Security posture to the next level.

Our Infrastructure Security team has a niche skill-set that balances Security domain expertise with the ability to design, implement, rollout infrastructure across multiple cloud environments without adding friction to product functionality or performance.

We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

This is a high-impact role in a security-centric, fast-paced organisation that is poised for massive growth and success.

You will act as a liaison between the Security org and the Engineering org to build technical leverage and influence the security roadmap.

You will focus on engineering security aspects of the systems used across our services.

Join us and be part of a company that is about to change the cloud computing landscape forever.

As a Staff Engineer, you should be able to identify gaps, propose innovative solutions, and contribute to roadmaps while driving alignment across multiple teams within the organisation.

Additionally, you should serve as a role model, providing technical mentorship to junior team members and fostering a culture of learning and growth

What are we looking for?

We are looking for a security-first SRE engineer who doesn't just 'flag' issues but builds the automation to solve them.

You should have a deep-seated intuition for cloud-native security and a proven track record of hardening large-scale GCP and AWS environments.

As a Technical SME, you will design and build production infrastructure with a 'security-at-scale' mindset.

What You Will Work On?

Security Evangelism: Lead initiatives to strengthen our security posture for critical infrastructure and promote best practices across the engineering organisation.

Incident Response & Reliability: Respond to production security incidents, perform root cause analysis, and build automated preventions to ensure high performance and reliability.

Automated Hardening: Identify manual security processes and automate them using custom tooling and CI/CD integrations.

Architecture & Documentation: Develop technical documentation, runbooks, and procedures for a 24x7 online environment.

Platform Evolution: Continuously evolve our monitoring platforms, moving from simple auditing to active, automated prevention.

Minimum Required Knowledge, Skills, & Abilities:

Experience: 8+ years of experience architecting and running complex cloud networking and infrastructure, with at least 7+ years specialised in DevSecOps or Cloud Security.

GCP Expertise: Minimum 3+ years of deep, hands-on experience securing GCP (GKE, GCE, Shared VPC etc).

Infrastructure as Code (IaC): 10+ years of experience using Terraform and Chef to manage complex cloud resources and OS hardening.

Automation Mastery: Expert-level proficiency in Go, Python, or Ruby for building custom security tooling and automated remediation.

Hardened Containers: Proven track record of securing containerised workloads, including image scanning, K8s RBAC, and runtime security tools (e.g., CrowdStrike Falcon, Falco, or gVisor).

Unflappable Troubleshooting: A 'see a problem, fix the problem' mindset with the ability to debug complex networking, IAM, or performance issues under pressure.

Security Foundations: Strong grasp of Linux internals, OS hardening (CIS benchmarks), and IP protocols (TLS/SSL, DNSSEC, BGP).

Education: BS in Computer Science or equivalent professional experience.

Key Responsibilities:

IAM & Secrets Management: Design and maintain large-scale production IAM policies and secrets management workflows.

Infrastructure Hardening: Implement and maintain Public Key Infrastructure (PKI) and ensure all GCE/GKE environments meet strict compliance standards.

Operational Excellence: Utilise industry-standard tools like OSQuery, Splunk, Chronicle, Nessus, or Qualys/Crowdstrike to monitor system health and security telemetry.

Strategic Rollouts: Lead the phased transition of security policies from Audit/Detection mode to Blocking/Prevention mode, ensuring zero impact on production uptime.

Bonus Points For:

Multi-Cloud IAM Governance: Experience designing a unified IAM framework across AWS and GCP, utilising federated Identities such as Workload, Workforce Identity Federation with understanding of SAML & OIDC auth mechanism and automated 'Least Privilege' enforcement.

Cloud-Native Reliability Engineering: Deep understanding of multi-cloud reliability patterns, maintaining high availability (HA) during security patching or infrastructure-wide hardening.

Hardened Kubernetes Orchestration: Advanced experience securing GKE, EKS, and kOps, specifically implementing Pod Security Standards, Network Policies, and Admission Controllers for a 'Zero-Trust' posture.

Threat Modeling: Security Reviews & Threat Modeling at both Design & Implementation scope.

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

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Responsibilities

As a Software Engineer: Distributed Systems, you will be part of a Resiliency Organization responsible for the core services that power Cloudflare's global operations. We are looking for engineers to join the Infrastructure Intelligence team and shape the transition toward model-driven network orchestration.

The team is building a cutting-edge 'Maintenance Coordination System', powered by an infrastructure dependency graph of one of the world's largest physical networks. This is a foundational step towards designing intelligent, autonomous systems that will transform the orchestration of Cloudflare's network.

It forms the basis of many future projects to build the core data structures and services required to ensure our network optimization, network forecasting, and capacity planning are the state of the art. By creating the robust primitives for global coordination today, you will be enabling the next generation of data-driven infrastructure at Cloudflare.

This is a unique opportunity to work on complex, globally distributed systems which underpin all Cloudflare products.

Technologies we use:

• Cloudflare Workers, Workers KV, R2, and Durable Objects

• Kubernetes

• Go, Typescript, Python

• For service monitoring we use Prometheus, Grafana and Sentry

Requirements

• A degree in Computer Science, Engineering, Mathematics, Statistics or related field; OR have relevant background/experience to the field.

• Programming experience in Go, or similar languages

• Experience in designing and implementing secure and highly-available distributed systems

• Experience (and love) for debugging to ensure the system works in all cases

• Experience with a continuous integration workflow and using source control (we use git)

• Experience with continuous delivery and deployment of a k8s hosted application

• Understanding of security issues and responsibilities

• Experience with monitoring, alerting and debugging high volume production systems

• Fluent in analyses of data sets such as logs

• Strong English language oral and written communications skills

• Designing and building APIs

• Experience with the Cloudflare development stack is a plus

Examples of desirable skills, knowledge and experience

• At least 4 years of hands-on software development experience on meaningfully complex systems.

• Experience with graph theory and building services for graph generation, storage and retrieval.

• An understanding of the systems architecture required to scale machine learning model-driven decision engines in a production environment

• Experience building both backend systems and frontend widgets.

• Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability.

• Experience implementing tools, processes, internal instrumentation, and methodologies.

• Comfortable working on projects with tight deadlines and short release cycles.

• Strong verbal and written English language skills.

• Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus.

• Experience with data ingestion and analysis - pulling metrics from hundreds of edge data centers.

Compensation

For Washington D.C. based hires: Estimated annual salary of $140,000 - 172,000.

Equity

This role is eligible to participate in Cloudflare's equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance

• Dental Insurance

• Vision Insurance

• Flexible Spending Accounts

• Commuter Spending Accounts

• Fertility & Family Forming Benefits

• On-demand mental health support and Employee Assistance Program

• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance

• Life & Accident Insurance

• 401(k) Retirement Savings Plan

• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave

• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever built.

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The Security Engineering team is responsible for building, scaling, and evolving the core security infrastructure that enables Plaid's product engineering teams to ship securely and at speed. We own the secure paved roads across encryption, authN/authZ, CI/CD, data, and network security surfaces, abstracting away security complexity so developers can build at velocity with confidence.

As the Engineering Manager for Security Engineering, you will lead a team of security engineers building and operating the foundational capabilities that underpin secure development across Plaid. You will partner closely with the CISO and cross-functional engineering leaders to define and drive the roadmap for our platform capabilities, while ensuring our paved roads are reliable, well-adopted, and continuously maturing.

Responsibilities:

• Lead, mentor, and grow a team of security engineers, fostering a high-performance, collaborative, and psychologically safe team culture
• Own the technical roadmap and strategic direction for Plaid's core security capabilities across encryption, authN/authZ, CI/CD, data, and network security surfaces to secure Plaid’s AI and MCP ecosystem (internal and external MCP integrations).
• Partner with product and platform engineering teams to deeply understand their needs, and deliver self-service security infrastructure that scales across teams at varying levels of security maturity.
• Partner with Data Foundation and AI teams to build secure paved roads for agentic identities and workflows (AI agents, MCP clients, service identities)
• Drive measurable improvement in secure-by-default adoption across Plaid's engineering organization, leading with influence rather than authority
• Make pragmatic, risk-based security decisions and tradeoffs that are consistent with product roadmaps and business objectives
• Represent the team's work and security posture clearly to Staff-level leaders including the CISO, CTO, and COO
• Actively build team stability and strong team dynamics, playing a significant role in hiring, onboarding, growing, and retaining security engineering talent

Qualifications:

• 8–14 years of overall software engineering experience, with ~6+ years of that in engineering management roles
• Strong technical background in software engineering, with the ability to understand, evaluate, and guide work on auth systems, encryption, identity/access services, and related security domains in an AWS and K8s environment
• Experience managing engineers in a security, platform, or infrastructure context
• Experience designing and securing AI/ML/Agentic platforms (tool-calling, MCPs, and service identities)
• Familiarity with AI security and governance risks and control designs that preserve developer velocity.
• Proven track record building scalable platform capabilities and paved roads used broadly across a product focused engineering organization
• Ability to architect security capabilities and controls with developer experience principles in mind
• Strong cross-functional relationship-building skills, operating effectively as both a technical advisor and a delivery partner to product engineering teams
• High-empathy communication skills, with the ability to represent technical work to senior leadership
• Internal customer focus, with the ability to drive security maturity gains through influence rather than authority
• Experience at a fintech or high-technology organization adjacent to payments or financial services
• Hands-on experience building user and service authN/authZ capabilities, encryption/secrets management services, or internal identity management capabilities at scale at an AWS and K8s environment

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking experienced backend software engineers to join our Deployment team. You'll help deploy and integrate our products (models, APIs, AI Studio...) across multiple infrastructure configurations, from leading cloud service providers to self-hosted (private cloud and on-premises) solutions. You'll work closely with the research, product, solution architect and program management teams to serve our frontier models to customers wherever they use our technology.

Responsibilities

• New releases – you will ensure fast and reliable launch of new products (from models to APIs) to customers
• Build and test infrastructure – you will work to improve and extend the infrastructure needed to package, deploy and integrate our core technology within first-party systems and third-party platforms
• Safety – you will help solve the unique challenges that come with maintaining AI safety on third-party platforms
• Observability and Monitoring – you will collaborate closely with both internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users
• Build automation to increase deployment performance (velocity, scalability)
• Foster architecture improvements to make our products deployable on all configurations (including on-premise)
• Drive cross-functional feature improvements with other product engineering teams (Le Chat, API/SDK, Mistral Code...)
• Contribute to key technology and architecture trade-offs to break our deployment stack down into small, maintainable and testable pieces

About you

• 5+ years of relevant professional work experience
• Master’s degree in Computer Science, Information Technology or a related field
• Excellent proficiency in backend software development (Python, Golang)
• Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
• Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
• Autonomous and self-starter profile
• Ability to communicate with influence

Hiring Process

• Introduction call - 30 min
• Hiring Manager Interview - 30 min
• Live-coding Interview (Python) - 45 min
• System Design Interview - 45 min
• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min
• Culture-fit discussion - 30 min
• References

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We are seeking a Research Engineer to join our Machine Learning team. As a Research Engineer, you will work on building and optimizing large-scale learning systems that power our open-weight models.

Responsibilities

• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Conduct experiments on the latest deep-learning techniques.
• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

Requirements

• Master's or PhD in Computer Science (or equivalent proven track record).
• 4 + years working on large-scale ML codebases.
• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
• Strong software-design instincts: testing, code review, CI/CD.
• Self-starter, low-ego, collaborative.

Benefits

• Competitive cash salary and equity.
• Food: Daily lunch vouchers.
• Sport: Monthly contribution to a Gympass subscription.
• Transportation: Monthly contribution to a mobility pass.
• Health: Full health insurance for you and your family.
• Parental: Generous parental leave policy.

Note: Benefits may vary depending on location.

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About you:

• 5+ years of relevant professional work experience
• Master's degree in Computer Science, Information Technology or a related field
• Excellent proficiency in backend software development (Python, Golang)
• Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
• Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
• Autonomous and self-starter profile
• Ability to communicate with influence

Hiring Process:

• Introduction call - 30 min
• Hiring Manager Interview - 30 min
• Live-coding Interview (Python) - 45 min
• System Design Interview - 45 min
• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min
• Culture-fit discussion - 30 min
• References

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You will work closely with hyperscalers engineering teams, internal stakeholders (science, product, program management), and external partners to define standards, build integrations, and automate deployment workflows. This is a highly visible role with the opportunity to shape how Mistral's technology is adopted globally and influence cloud providers' roadmaps.

Responsibilities:

• Lead Cloud Provider Integrations: Drive the technical strategy and execution for integrating Mistral's products (AI Studio, APIs, SDKs) natively into cloud provider ecosystems (Azure, AWS, GCP, etc.), starting with Azure.
• Build a Factory for Scalable Integrations: Develop a repeatable, automated framework to onboard new cloud providers quickly, reducing friction for both customers and internal teams.
• Collaborate with Hyperscalers: Partner with cloud providers' engineering teams to define interfaces, standards, and best practices for AI model deployment and integration.
• Enable Smooth Customer Onboarding: Ensure customers can onboard Mistral's AI Studio suite directly from cloud providers' platforms, with a focus on simplicity, reliability, and performance.
• Cross-functional Leadership: Work with internal teams (Deployment Platform, Product Engineering, Solutions Architecture) and external stakeholders to align on roadmaps, timelines, and technical trade-offs.
• Automate and Optimize: Build tooling and processes to automate packaging, deployment, and monitoring of Mistral's products across cloud environments, reducing cognitive load for Product Engineering teams.
• Technical Advocacy: Represent Mistral in technical discussions with cloud providers, influencing their roadmaps and ensuring our products are optimized for their platforms.
• Team Building: Grow and mentor a high-performing team of 5-6 engineers, fostering a culture of platform thinking, automation, and collaboration.

About you:

• 7+ years of relevant professional experience, with a track record of leading technical teams in complex infrastructure environments.
• 2+ years of experience managing and leading teams with a proven ability to build teams, set roadmaps, and align objectives with business goals.
• Strong proficiency in backend development (Python ideally, or Go, Kotlin, Scala, Java, etc.,) and experience with complex, distributed systems.
• Deep knowledge of cloud ecosystems (AWS, GCP, Azure), containerization (Docker), and orchestration (K8s, Helm, Terraform).
• Ability to work with product, engineering, and business teams, as well as external partners.
• Ability to communicate with influence

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Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, but want to solve some of the world’s most complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance?

At BlackRock, we are looking for Software Engineers who like to innovate and solve complex problems. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual.

With over USD $14 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial wellbeing.

Role details

Responsibilities

• Curious and eager to learn new things, with a healthy disrespect for the status quo
• Willing to embrace work outside of your comfort zone, and open to guidance from others; you make mistakes but learn from them
• Passionate about technology, with personal ownership for the work you do
• Data-focused, with an eye for the details that matter to solve the problem

Requirements

• Minimum of 5+ years software engineering work experience on large scale software development and deployment
• BSc/MSc or equivalent in Computer Science from an accredited university
• Programming skills in Java, Python and Golang, or a willingness to learn them
• Experience in Linux shell
• Experience with K8s
• Some level of knowledge would be nice to have on Okta and OAuth 2.0
• Comfortable using AI-assisted development tools (code generation/review) with strong validation and code quality discipline, given trust/verification remains a key engineering responsibility
• Understanding the emerging Model Context Protocol (MCP) ecosystem and how standardized modeltool interfaces relate to modern API standards (schema-first design, secure tool access, interoperability)

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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$230K – $280K • Offers Equity

Why this is a massive opportunity:

We're using AI to codify the world's international trade law. Every business around the world needs this. Compliance isn’t optional. Strong macro tailwinds: Businesses are expanding globally at a faster pace, while tax authorities are cracking down on cross-border compliance, driving urgent demand. AI advantage: Incumbents can’t scale beyond the U.S.; our AI-native tax engine can. Multi product play: Indirect tax is just the start; we’re building a compound startup that helps business with all forms of revenue-based compliance.

What you will do:

Within weeks:

• Find solutions to Sphere's toughest scaling, performance, and latency problems

• Work closely with engineering team to define tooling to help us ship even faster

• Participate in an On Call rotation to solve critical production events

• Work directly with customers like Eleven Labs, Replit, Windsurf, and partners like Stripe, Chargebee, on their latency and availability requirements.

Within months:

• Influence and implement the next generation of Sphere's database, real-time queue, and container orchestration infrastructure

• Work across our engineering organization to introduce and scale best practices with cloud-native technologies like Amazon ALB, ECS/EKS, Temporal, AWS SQS, Amazon Aurora PostgreSQL, Elasticache Redis, and S3

• Build abstractions within Terraform to simplify the architecture and increase velocity and ownership

Requirements:

• Experience managing k8s clusters in AWS/GCP/Azure at scale

• Extensive experience shipping high-quality architectures for mission critical systems (focus on high availability, high load, low latency)

• Experience with Postgres at scale

Nice to have:

• Experience working with large volumes of transaction data. You’ll be getting very familiar with it!

• Strong experience in Python. Our core application backend and data pipeline services are built with Python and Django

• Passionate about developer experience

• Very strong attention to detail. When you work with numbers this is a non-negotiable - it’s not enough to be 99% right.

What’s important to us:

• The Dog: Grit > pedigree.

• Ship fast: If it can be done today, do it today.

• Self-starter: No hand-holding

• Accountability: You’ll be held accountable to objective, measurable targets each month.

• In-person: SF only.

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Microsoft AI are looking for a talented Senior Software Engineer at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

The MAI-A Fundamentals team is dedicated to building one of the world's largest distributed systems to power Bing Search, Copilot Search, Grounding APIs, and drive advancements in relevance through cutting-edge deep learning techniques. We are currently developing the next generation of grounding APIs and their hosting platform services, with the goal of creating the fastest and most modern search API business. Our efforts focus on constructing a system with a tens-of-billions-level index, an orchestration engine capable of operating within hundreds of milliseconds, and an online GPU inference system. These innovations will enable rapid, scalable, and intelligent search capabilities for a wide range of applications.

Accountabilities

• Understand User Requirements Collaborates with appropriate stakeholders (e.g., relevance customers teams, project manager, other team members, and all other service owners) to determine user requirements for each scenario on the service gaps based on their scenarios.
• Design, coding and implementation Takes part in the discussions for the architecture of products/solutions and creates proposals for architecture by testing design hypotheses and helping to refine code plans.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Familiar with cloud computing platforms such as Azure, K8s.

Personal attributes:

• Good communication, collaboration and problem solving skills, fluent English speaking and writing.

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)

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Microsoft AI are looking for a talented Senior Software Engineer at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

The MAI-A Fundamentals team is dedicated to building one of the world's largest distributed systems to power Bing Search, Copilot Search, Grounding APIs, and drive advancements in relevance through cutting-edge deep learning techniques. We are currently developing the next generation of grounding APIs and their hosting platform services, with the goal of creating the fastest and most modern search API business. Our efforts focus on constructing a system with a tens-of-billions-level index, an orchestration engine capable of operating within hundreds of milliseconds, and an online GPU inference system. These innovations will enable rapid, scalable, and intelligent search capabilities for a wide range of applications.

Accountabilities

• Understand User Requirements
• Collaborates with appropriate stakeholders to determine user requirements for each scenario on the service gaps based on their scenarios.
• Design, coding and implementation
• Takes part in the discussions for the architecture of products/solutions and creates proposals for architecture by testing design hypotheses and helping to refine code plans.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Familiar with cloud computing platforms such as Azure, K8s.

Personal attributes:

• Good communication, collaboration and problem solving skills, fluent English speaking and writing.

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)

XML job scraping automation by YubHub

What you'll do

In this role, you will take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. You will build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management.

• Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems.
• Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management.

What you need

• Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go.
• Experience with large-scale web crawlers is highly desirable.
• Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services.
• Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS.
• Demonstrated passion for writing clean, efficient, and scalable systems.

XML job scraping automation by YubHub

What you'll do

You will be responsible for developing new types of search index storage, including streaming and batch data processing systems in a high-load environment capable of handling billions of pages. You will also build new core search components, including algorithms for efficient retrieval and ranking, and push the limits of hardware performance.

• Develop new types of search index storage, including streaming and batch data processing systems in a high-load environment capable of handling billions of pages
• Build new core search components, including algorithms for efficient retrieval and ranking
• Push the limits of hardware performance

What you need

• 5+ years of hands-on experience in C++ development
• Knowledge of Python or other scripting languages
• Passion for writing clean, efficient, and scalable C++ code
• Strong knowledge of algorithms and data structures, and the ability to apply them effectively
• Deep understanding of multithreading, including various approaches, challenges, and trade-offs

Why this matters

This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in their technical stack.

XML job scraping automation by YubHub

What you'll do

You will set up and maintain CI/CD pipelines for builds and testing, support and evolve Chromium browser development infrastructure, configure monitoring and alerting systems, manage cloud infrastructure, develop automation scripts, and ensure high availability, resilience, and security of development infrastructure.

What you need

You will need 3+ years in software development infrastructure, preferably Chromium browsers, hands-on DevOps and SRE experience, including monitoring and incident management, proficiency in k8s, Terraform, Datadog, Sentry, AWS, Unix, TeamCity, strong CI/CD implementation skills, and ability to thrive in Agile teams with excellent communication.

XML job scraping automation by YubHub