Protecting Synopsys' and customer information from internal threats, safeguarding critical data and intellectual property, is your top priority. You will reduce the organisation's exposure to insider risks through timely detection, swift incident response, and continuous threat hunting. You will enhance organisational resilience by developing and implementing robust insider threat mitigation strategies and controls. You will enable secure business operations and compliance with legal and regulatory requirements through thorough investigation and reporting. You will drive down mean time to respond (MTTR) for insider threat incidents, contributing to operational excellence. You will foster a culture of security awareness and accountability across departments by facilitating collaboration and knowledge sharing.

To succeed in this role, you will need a Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent experience through continuous learning and personal projects. You will require 5+ years of experience in cybersecurity, with a focus on insider threat detection, analysis, and threat hunting. You will need proficiency in security monitoring tools, SIEM platforms, and advanced data analysis techniques. You will have a strong understanding of insider threat indicators, behavioural analytics, and user activity monitoring. You will have experience with security automation, scripting, and reducing mean time to respond (MTTR) to incidents. You will be able to work with large data sets and utilise log analysis tools effectively. You will have familiarity with legal hold processes and experience collaborating with third-party public and private organisations.

As a Cyber Security Staff Engineer - Insider Threat, you will be analytical, detail-oriented, and highly observant, with a keen investigative mindset. You will be an excellent communicator, able to convey complex technical information to diverse audiences. You will be a collaborative team player who builds strong relationships across departments and disciplines. You will be proactive, staying ahead of emerging threats and industry best practices. You will be ethical, trustworthy, and committed to maintaining the highest standards of confidentiality and integrity. You will be adaptable, resilient, and able to thrive in high-pressure situations.

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Your primary duties will include:

• Administration of network infrastructure: installing, configuring, and managing network equipment (switches, routers, firewalls), managing VLANs, VPNs, Wi-Fi, and quality of service (QoS), and ensuring the supervision, performance, and availability of networks.

• Cybersecurity: implementing and maintaining cybersecurity policies (firewalls, antivirus, filtering, etc.), detecting, analysing, and treating security incidents, performing regular security audits, and applying necessary corrections, sensitising users to good cybersecurity practices, and documenting quality and security procedures.

• Support and maintenance: providing level 2/3 technical support for network and security issues, documenting procedures, incidents, and interventions.

• Vigilance: actively monitoring technological developments in network and cybersecurity, proposing technical improvements to enhance security and performance.

To succeed in this role, you will need:

• Solid knowledge of network protocols (TCP/IP, DNS, DHCP)

• Good understanding of Windows and Linux environments

• Expertise in cybersecurity: firewalls, IDS/IPS, VPN, SIEM, XDR

• Experience with IT infrastructure supervision and monitoring tools

• Rigour, sense of organisation, and ability to manage priorities

• Team spirit, customer focus, and good interpersonal skills

• Reactivity and analytical skills for incident management

• Professional English language skills

• Availability for occasional weekend work during events or sporting events

• Possibility of travel to different sites within the organisation, requiring a B driving license

• Flexible working hours according to service needs

As a valued member of our team, you will enjoy a range of benefits, including a 13th month, health insurance, and a restaurant allowance.

If you are passionate about cybersecurity and network administration, and possess the required skills and experience, we encourage you to apply for this exciting opportunity.

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Job Title: Site Reliability Engineer II

Pogo has been the leader in online casual games since 1998. Featuring a growing library of 60+ titles spanning popular genres like Solitaire, Mahjong, Match 3, and more, Pogo exists to be the best destination for online casual games. We strive to produce high-quality HTML5-powered games with sophisticated metagames and social mechanics, all while working seamlessly across desktop, tablet and mobile. Our fans and subscribers come to Pogo for fresh content, daily challenges, great events, new games, and a live service that delivers! We are looking for a Site Reliability Engineer on Pogo engineering to help maintain and work towards continuous improvement of infrastructure for the Pogo platform and games.

In this key role, you will report directly to the Associate Technical Director and have a high level of interaction with Pogo engineering team members, development directors and EA central teams. Pogo Engineering manages the Pogo platform that consists of Progressive WebApp and Java Backend deployed on AWS that supports more than 60 HTML5 games. As part of the engineering team, you will help build, maintain and continuously improve Pogo’s infrastructure for games and platform.

Key Responsibilities:

• Build and maintain CI/CD pipelines for several projects and work towards continuous improvement.
• Keep Pogo infrastructure up-to-date by applying updates in timely manner
• Implement monitoring and alerting systems for service degradations
• Identify and deploy security measures by performing vulnerability assessments and risk management.
• Encourage and build automated processes whenever possible.

Qualifications:

• Bachelor's degree in Computer Science or related field, or equivalent training and professional experience
• 4+ years of experience as a DevOps/Site Reliability engineer
• Proficient in CI/CD technologies like Maven, Gradle, Jenkins, Gitlab CI/CD
• Proficient in cloud platform like AWS
• Expertise in containerization with Docker/Kubernetes and orchestration tools Ansible/Puppet
• Proficiency in cloud-based DevOps practices like Terraform
• Experience with shell scripting and knowledge of scripting languages like Ruby, Python
• Experience with monitoring tools like Prometheus, Grafana, Cloudwatch
• Experience with load testing, troubleshooting, and optimizing performance of web services
• Experience with Scrum/Agile development methodologies

Nice To Have:

• Experience in game industry is a plus

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You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive.

We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.

Ensure high performance and reliability across our distributed systems.

Contribute to systems powering inference, billing, AI tooling, observability, and developer experience.

System Architecture - Design and implement efficient, secure and scalable architectures that support our fast-growing products.

Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

Code Quality - Write clean, maintainable and well-documented code.

Participate in code reviews and contribute to technical standards and best practices.

Cross-functional Collaboration - Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.

Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

Problem-Solving & Innovation - Tackle complex engineering challenges, from distributed systems to AI product integration.

Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

Who you are:

• Degree in Computer Science, Software Engineering, or equivalent practical experience.

• Proficiency in Python or another backend language (Golang, Kotlin, C#).

Engineers are assessed in their preferred language during a live coding session.

• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.

• Strong problem-solving abilities and attention to detail.

• Ownership mindset capable of shipping end-to-end features with minimal oversight.

• Excellent communication skills and collaborative attitude.

• Team-oriented, low-ego mindset and curiosity for learning.

Now, it would be ideal if you had experience with:

• Full-stack exposure

• Working closely with an API & developer ecosystem

• Deploying software to a diverse set of environments (cloud, on-premises, etc.)

• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)

• AI/ML engineering

• Observability and monitoring tools (Prometheus, Grafana, Datadog…).

• UX and product-centric mindset.

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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 democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work.

Role Summary

We're looking for passionate and talented software engineers to join our team. As a Backend Engineer, you'll play a key role in developing the core systems that drive our Cloud solutions. Your work will involve building robust, high-performance backend systems and APIs to support our rapidly expanding enterprise user base.

Responsibilities

• Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.
• Design and implement efficient, secure, and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.
• Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
• Tackle complex engineering challenges, from distributed systems to AI product integration.
• Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

Requirements

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• 5+ years of relevant work experience.
• Proficiency in Golang.
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems, and distributed architectures.
• Experience with cloud-based (AWS, GCP, Azure) and bare-metal infrastructure.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset, and curiosity for learning.

Nice to Have

• Front-end development (Typescript, React, NextJS...).
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...).
• Observability and monitoring tools (Prometheus, Grafana, Datadog...).

Hiring Process

• Introduction Call - 45 minutes.
• Technical Interview / Live Coding - 45 minutes.
• Technical Interview / System Design - 45 minutes.
• [Optional] Project Deep Dive - 60 minutes.
• Culture-fit Discussion - 30 minutes.
• References.

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor.
• Are you audacious enough?
• Make our customers succeed.
• Ship early and accelerate.
• Leave your ego aside.

Engineering Blog

Our first Engineering blog post is live, you can check it out here!

Additional Information

Location & Remote

This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside in Paris or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team.

In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting , currently France, UK, Germany, Belgium, Netherlands, Spain, and Italy. In that case, we ask all new hires to visit our Paris office:

• For the first week of their onboarding (accommodation and traveling covered).
• Then at least 3 days per month.

Benefits

• Competitive salary and equity.
• Health insurance.
• Transportation allowance.
• Sport allowance.
• Meal vouchers.
• Private pension plan.
• Generous parental leave policy.

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Key responsibilities include:

• Designing and implementing secure fault-tolerant infrastructure
• Working with cross-functional teams to ensure organizational best practices are followed
• Creating practical demonstrations of proposed solutions
• Integrating newly developed and existing applications into private, public, and hybrid cloud environments
• Automating deployment pipelines in a scalable, secure, and reliable manner
• Implementing and integrating security in our CI/CD pipelines using tools like SonarQube

Requirements:

• 5+ years of experience in a similar role
• Experience with automation/configuration management tools like Jenkins, Terraform, or Ansible
• Experience in Kubernetes and source code management tools like Git, Bitbucket, or SVN
• Understanding of self-healing/immutable microservice-based architectures, cloud platforms, clustering models, and networking technologies
• Good knowledge of AWS cloud and securing AWS infrastructure
• Great interpersonal and communication skills

If you are a self-starter who can work well in a fast-paced, dynamic environment with minimal supervision, we encourage you to apply.

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As a GCP Cloud Architect, you will provide day-to-day responsibility with hands-on design and development wherever applicable for key cloud-native infrastructure, computing, database, network, storage, and interoperability initiatives. As a key member of our Enterprise Technology Group, you'll play a critical part in crafting the future of mobility.

Responsibilities:

• Work with Technology and Software Platform teams to provide solutions for cloud infrastructure across the Ford Enterprise, including hosting, computing, databases, and networks.
• Define, analyze, assemble, and integrate components to deliver infrastructure patterns for the business, including consideration for platforms, software, availability, scalability, and reliability.
• Experienced with OpenShift/GKE and hands-on with GCP services and hands-on with GCP services, including Containers, Cloud Run, Compute Engine, Kubernetes Engine, Big Query, and Cloud Storage.
• Design, build, and maintain GCP infrastructure to support our applications and services with high performance, scalable and secure cloud native applications on GCP.
• Hands-on experience with application development experience leveraging technologies such as Java, Springboot, Python, etc.
• Collaborate with other teams to integrate GCP services into our overall IT architecture.
• Stay current with GCP technologies, and best practices and provide recommendations for continuous improvement.
• Develop, advise and document GCP infrastructure and deployment processes along with experience on REST API, Agile tools, DevOps, Source control and versioning tools (Git, JIRA) and build CI/CD pipelines using CI/CD methodologies leveraging Jenkins, containers, Kubernetes etc.
• Work with development teams to implement best practices for deploying and managing applications on GCP.
• Monitor and optimize the performance of GCP resources. Troubleshoot and resolve issues related to GCP infrastructure and services wherever needed.
• Supports the development of the technical design and documentation. Maintain open channels of communication by providing relevant information, technical expertise, and recommended best practices and patterns.
• Hands on experience with public cloud services offering (covering Compute, Storage, Network, Web, Cognitive, AI, Functions, IAM, etc.).
• Build big data solutions, ensure the guardrails, security and compliance of our GCP environment, Strong knowledge of Cloud security standards and principles including Identity and Access management.
• Work on Serverless design, implementing Container As A Service (CaaS), Cloud Infrastructure (IaaS) Security Compliance requirements, monitoring Infrastructure (IaaS), Network management, storage management and remediation automation.
• Experience with Data center environments with a mix of Linux and Windows and system administration, troubleshooting, proficiency with CLI (Bash, PowerShell), virtualization (VMware, Hyper-V), and monitoring tools.

Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, or a related field
• 10+ years of experience in IT or Technology-related disciplines with progressively increasing responsibility.
• 5+ Experience working with cloud native Google Cloud Platform (GCP) and hybrid cloud environments such as researching the best use of cloud products and the ecosystem, designing, developing, implementing, and managing Google Cloud Platform infrastructure.
• 3+ hands-on experience in scripting and automation using Python, Bash, or similar languages.
• 3+ years’ experience with application development using technologies such as Java, Springboot, Python, etc.
• 2+ years’ experience with infrastructure as code tools such as Terraform or Deployment Manager.

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.

Salary:

This position is a salary grade 7 - 8 ranges from $97,140-190,500.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

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Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

This role is responsible for designing, implementing, automating, and maintaining security platforms that support enterprise cybersecurity operations. The role focuses on integrating security agents/tools, improving detection capabilities, ensuring platform reliability, and enabling security teams through scalable infrastructure and automation.

Responsibilities

• Design, implement, maintain, and improve security platforms and tools that protect the organization's IT infrastructure.
• Optimize security technologies to detect, prevent, and respond to security threats in real time.
• Collaborate with engineering, IT, and security operations teams to deploy and support enterprise cybersecurity platforms and solutions.
• Secure in-house and public AI and ML/DL systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle.
• Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security).
• Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements.
• Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)).
• Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access).
• Conduct vulnerability assessments and penetration testing on AI models and data pipelines.
• Ensure AI data is encrypted, anonymized, and securely stored.
• Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust).
• Protect AI models from tampering, theft, and adversarial manipulation during training and deployment.
• Monitor and log AI system activity for anomalies and security incidents.
• Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements.
• Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency.
• Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities.
• Configure alerting systems for security threats and enable real-time monitoring for observability.
• Partner with incident response teams to identify, contain, and mitigate security incidents.
• Support root cause analysis to improve security posture and prevent repeat breaches.
• Optimize security tools and platforms for performance and effectiveness while meeting compliance and organizational requirements.
• Maintain documentation for platform configurations, AI services and capabilities, troubleshooting guides, and operational procedures.

Qualifications

• Bachelor's degree in Computer Science, Information Security, or related field OR a combination of education and experience
• 5+ years of experience in security engineering, platform engineering, and AI/ML, including experience in large, complex environments
• Experience in managing security platforms and tools in enterprise environments
• Experience in telemetry pipeline platforms (e.g., BindPlane), SIEM (e.g., Splunk, QRadar), and vulnerability management tools
• Experience in scripting and automation (Python, PowerShell, and/or Bash)
• Experience in infrastructure as Code (Terraform, Ansible)
• Experience in cloud security tools and platforms (GCP, AWS, Azure)
• Experience in container security (Docker, Kubernetes)
• Experience in networking protocols, firewalls, and network security best practices
• Experience in AI/ML concepts, architectures, and AI security challenges
• Experience in AI threat areas (adversarial attacks, data poisoning, model inversion, unauthorized access)
• Experience in vulnerability assessment and penetration testing on AI models and data pipelines
• Experience in data protection techniques (encryption, anonymization, secure storage) and secure access management (RBAC, ABAC, Zero Trust)
• Experience in incident response, monitoring tools, and threat intelligence platforms
• Experience in security frameworks and compliance references (SAIF, NIST, FAICP)
• Experience in ITSM processes and tools (ServiceNow) and delivery practices/tools (Agile, JIRA)
• Master's degree in Computer Science, Information Security, or related field
• Understanding of cloud AI/ML services and deployment pipelines
• CISSP (Certified Information Systems Security Professional)
• CCSP (Certified Cloud Security Professional)
• Preferred certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization, or equivalent
• GCP cloud certification or equivalent in AWS or Azure (preferred)
• Additional cybersecurity certificates (preferred)
• Excellent communication and documentation skills for policy development and stakeholder engagement

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You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.

Responsibilities

• Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).
• Optimise query performance, indexing strategies, schema design, and storage engines.
• Perform capacity planning, growth forecasting, and workload modelling.
• Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.

Automation & Tooling

• Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.
• Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.

Operations & Incident Response

• Lead response during database incidents,performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.
• Conduct root-cause analysis and implement permanent fixes.

Cross-Functional Collaboration

• Partner with software engineers to review SQL, optimise schemas, and ensure efficient use of PostgreSQL features.
• Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.

Required Qualifications

• 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.
• Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).
• Production experience with MySQL (InnoDB internals, replication, performance tuning).
• Advanced SQL and strong understanding of schema design and query optimisation.
• Experience with Linux systems, networking fundamentals, and systems troubleshooting.
• Experience building automation with Go or Python.
• Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg_stat_statements, etc.).
• Hands-on experience with cloud environments (AWS or GCP).

Preferred/Bonus Qualifications

• Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.
• Exposure to event streaming (Kafka, Debezium) and change data capture.
• Experience supporting 24/7 production environments with on-call rotation.
• Contributions to open-source PostgreSQL ecosystem.

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This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions.

As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.

Key Responsibilities:

• Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.

• Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.

• Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.

• Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.

• Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.

• Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.

• Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.

• Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.

• Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.

Qualifications:

• Experience: Minimum of 7+ years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.

• Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization.

• Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.

• Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.

• Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.

• Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.

Preferred Skills:

• Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.

• Familiarity with automation tools and CI/CD pipelines.

• Understanding of data governance and compliance requirements.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.

• Career Growth: Opportunities for professional development and career advancement.

• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

PLEASE NOTE: THE ROLE INVOLVES WORKING IN THE EMEA TIMEZONE

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The Account Abuse team at Anthropic is tasked with ensuring the company's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company.

Responsibilities

• Think and respond quickly in a rapidly-changing greenfield environment
• Jump into other teams' code to identify key points to gather signals or introduce interventions with minimal impact on their systems' stability, complexity, or overall architecture
• Integrate with third-party data-enrichment vendors
• Create monitoring dashboards, alerts, and internal admin UX
• Work closely with data scientists to maintain situational awareness of current usage patterns and trends, and with the Policy & Enforcement team to maximize the impact of their human-review availability
• Build robust and reliable multi-layered defenses
• Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses

Requirements

• Bachelor's degree in Computer Science, Software Engineering or comparable experience
• 5-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection
• Proficiency in Python, SQL, and data analysis tools
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Preferred qualifications

• Experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale
• Experience working closely with operational teams to build custom internal tooling

Annual compensation range

$320,000-$405,000 USD

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Working onsite with dedicated teams, you'll tackle safety challenges, implement robust protocols, and maintain high standards to keep operations running smoothly. Expect to dive into risk assessments, foster a culture of safety, and support xAI's mission to accelerate human scientific discovery through AI.

Responsibilities: Conduct regular inspections to identify and mitigate potential hazards, ensuring compliance with OSHA regulations and xAI safety standards. Oversee the inventory of safety supplies, restocking as needed to maintain adequate resources for emergency response and daily operations. Perform manual sound and air quality assessments to ensure a healthy work environment, documenting findings and implementing corrective actions when necessary. Provide immediate first aid care to employees as required, coordinating with external medical services when needed. Uphold and enforce site-specific safety plans, policies, and protocols, conducting training sessions to promote a culture of safety awareness.

Basic Qualifications: OSHA 30 certification. Proficiency in Google Suite (Docs, Sheets, Slides, Gmail, Drive, Calendar). Strong critical thinking and problem-solving skills to assess and address safety risks effectively. Ability to work in a fast-paced, dynamic environment with flexibility to adapt to changing priorities. Willingness to work occasional evenings or weekends to support site operations or respond to emergencies. Physical capability to perform site inspections, including walking, climbing, and lifting up to 25 pounds.

Preferred Skills and Experience: EMT, AEMT, Paramedic, or Nursing certification/experience, with the ability to respond to medical emergencies. Background in electrical or mechanical systems, preferably in an industrial or construction setting. 2+ years of experience in construction safety or a related field, with a proven track record of implementing safety protocols. Familiarity with incident investigation and root cause analysis to prevent future safety incidents. Experience with safety management systems (e.g., ISO 45001) or environmental monitoring tools. Strong communication skills to deliver safety training and collaborate with cross-functional teams.

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You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.

Responsibilities:

• Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).
• Optimize query performance, indexing strategies, schema design, and storage engines.
• Perform capacity planning, growth forecasting, and workload modeling.
• Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.

Automation & Tooling:

• Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.
• Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.

Operations & Incident Response:

• Lead response during database incidents,performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.
• Conduct root-cause analysis and implement permanent fixes.

Cross-Functional Collaboration:

• Partner with software engineers to review SQL, optimize schemas, and ensure efficient use of PostgreSQL features.
• Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.

Required Qualifications:

• 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.
• Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).
• Production experience with MySQL (InnoDB internals, replication, performance tuning).
• Advanced SQL and strong understanding of schema design and query optimization.
• Experience with Linux systems, networking fundamentals, and systems troubleshooting.
• Experience building automation with Go or Python.
• Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg_stat_statements, etc.).
• Hands-on experience with cloud environments (AWS or GCP).

Preferred/Bonus Qualifications:

• Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.
• Exposure to event streaming (Kafka, Debezium) and change data capture.
• Experience supporting 24/7 production environments with on-call rotation.
• Contributions to open-source PostgreSQL ecosystem.

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid #LI-LSS1 requisition ID- P5979_3307978

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You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.

Responsibilities:

• Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).
• Optimize query performance, indexing strategies, schema design, and storage engines.
• Perform capacity planning, growth forecasting, and workload modeling.
• Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.

Automation & Tooling:

• Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.
• Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.

Operations & Incident Response:

• Lead response during database incidents,performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.
• Conduct root-cause analysis and implement permanent fixes.

Cross-Functional Collaboration:

• Partner with software engineers to review SQL, optimize schemas, and ensure efficient use of PostgreSQL features.
• Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.

Required Qualifications:

• 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.
• Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).
• Production experience with MySQL (InnoDB internals, replication, performance tuning).
• Advanced SQL and strong understanding of schema design and query optimization.
• Experience with Linux systems, networking fundamentals, and systems troubleshooting.
• Experience building automation with Go or Python.
• Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg_stat_statements, etc.).
• Hands-on experience with cloud environments (AWS or GCP).

Preferred/Bonus Qualifications:

• Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.
• Exposure to event streaming (Kafka, Debezium) and change data capture.
• Experience supporting 24/7 production environments with on-call rotation.
• Contributions to open-source PostgreSQL ecosystem.

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid #LI-LSS1 requisition ID- P5979_3307978

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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.

The Infrastructure Platform and Shared Services Team Okta authenticates, authorises and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability.

We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling.

As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, CI/CD, Observability, automation platform & tooling.

Responsibilities

• Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organisation.

• Lead the DevOps transformation, microservice journey, and next generation Infra platform capabilities in partnership with architects and product engineering.

• Build a world-class observability platform and monitoring capabilities enabled with self-service.

• Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities.

• Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g., Kubernetes, service mesh, CI/CD pipelines, IaC & Edge Infrastructure).

• Lead, mentor, and grow a high-performing team of engineers and managers across platform, infrastructure, and shared services domains.

• Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints.

• Improve SDLC processes for Cloud infrastructure as a code, including the maturity of CI/CD pipelines, change and release management.

• Manage service and business expectations and prioritise resource allocation.

• Maintain a deep knowledge of industry best practices, evolving trends, and technologies.

Requirements

• 6+ years of experience in technical leadership & people management.

• Extensive experience using Agile and DevOps methodologies to build product infrastructure and shared service at scale.

• 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus.

• Strong expertise in cloud-native architectures, containerisation (Kubernetes), IaC (Terraform), and CI/CD pipelines.

• Strong background and hands-on experience in SW development, PaaS and automation.

• Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment.

• Demonstrated ability to lead cross-functional teams and manage large-scale programs.

• Effective verbal, written communication and interpersonal skills.

• Computer Science Degree or related degree or equivalent experience.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

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As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.

Key Responsibilities:

• Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
• Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
• Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
• Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.
• Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.
• Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
• Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.
• Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.

Qualifications:

• Experience: Minimum of 12 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
• Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimisation.
• Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
• Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.
• Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.
• Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.

Preferred Skills:

• Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
• Familiarity with automation tools and CI/CD pipelines.
• Understanding of data governance and compliance requirements.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
• Career Growth: Opportunities for professional development and career advancement.
• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

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You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.

Responsibilities:

• Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).
• Optimize query performance, indexing strategies, schema design, and storage engines.
• Perform capacity planning, growth forecasting, and workload modeling.
• Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.

Automation & Tooling:

• Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.
• Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.

Operations & Incident Response:

• Lead response during database incidents,performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.
• Conduct root-cause analysis and implement permanent fixes.

Cross-Functional Collaboration:

• Partner with software engineers to review SQL, optimize schemas, and ensure efficient use of PostgreSQL features.
• Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.

Required Qualifications:

• 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.
• Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).
• Production experience with MySQL (InnoDB internals, replication, performance tuning).
• Advanced SQL and strong understanding of schema design and query optimization.
• Experience with Linux systems, networking fundamentals, and systems troubleshooting.
• Experience building automation with Go or Python.
• Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg_stat_statements, etc.).
• Hands-on experience with cloud environments (AWS or GCP).

Preferred/Bonus Qualifications:

• Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.
• Exposure to event streaming (Kafka, Debezium) and change data capture.
• Experience supporting 24/7 production environments with on-call rotation.
• Contributions to open-source PostgreSQL ecosystem.

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid #LI-LSS1 requisition ID- P5979_3307978

XML job scraping automation by YubHub

This role focuses on hands-on execution, process adherence, and collaboration to maintain high reliability in support of xAI's AI advancements.

Responsibilities: Perform non-critical maintenance and repair work, including people door repairs, administrative area upkeep, building envelope maintenance, and/or landscaping. Under direct supervision of an operator, assist as required in the operation of critical equipment. Perform limited maintenance on offline critical equipment as directed, including single chiller maintenance, single CDU filter changeouts, and/or leak detection verification in alarming racks. Conduct daily inspections of facilities areas to ensure performance standards and proactively report issues. Maintain spare parts inventory to minimize downtime and assist with ordering as needed. Follow and contribute to standard operating procedures (SOPs) for consistency and efficiency. Ensure compliance with safety regulations and environmental standards. Collaborate with cross-functional teams for equipment maintenance and minor installations. Document all work performed, including repairs and observations, for accurate records. Support team efforts in troubleshooting and basic repairs.

Basic Qualifications: 2+ years of experience in facilities maintenance or a related role (data center experience preferred). Solid knowledge of mechanical, electrical, or plumbing systems. Proficiency with hand tools, power tools, and basic diagnostic equipment. Strong troubleshooting skills and attention to detail. Effective communication and teamwork abilities. Ability to manage time and priorities effectively.

Preferred Skills and Experience: Associate's degree in a technical field or equivalent experience (e.g., HVAC, electrical, or mechanical certification). Experience with building management systems (BMS) or environmental monitoring tools. EPA Universal Refrigerant Certification (EPA 608 Technician). Familiarity with preventive maintenance scheduling.

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This is a role for someone who genuinely loves solving technical puzzles and takes pride in being the first line of defense for our clients. You will be expected to adapt, grow, and bring fresh ideas to improve how we operate.

Your contribution will be:

• Implement and maintain a robust real-time monitoring system that ensures full visibility into critical workflows before incidents escalate
• Provide top support to clients, acting as the main line of defense to address issues, answer queries, and escalate critical incidents when necessary
• Assist backend teams with scripting, bug reproduction, log analysis, and basic API testing
• Create and standardize operational processes that enable scalability and consistent service quality
• Analyze recurring issues and propose data-driven improvements to position the NOC as a strategic function
• Ensure continuous operational coverage with well-structured shift handovers
• Participate in some development activities to build hands-on backend knowledge
• Identify gaps in current tools and workflows and bring solutions to the table

Skills You Need:

• Fluent English, Spanish & Portuguese(written and verbal)
• 5+ year of experience in technical support, NOC operations, or a similar role
• Basic knowledge of monitoring tools and alerting systems
• Coding experience , scripting, debugging, or log analysis
• Familiarity with APIs and ability to assist users with integration or connectivity issues
• Strong analytical and problem-solving mindset
• Customer empathy and a service-oriented approach
• Comfort working in fast-paced, high-stakes environments

XML job scraping automation by YubHub

This role blends hands-on technical expertise with leadership responsibilities, guiding a team of Desktop Engineers and Support Analysts while driving modernization initiatives across device management, imaging, patching, software deployment, and endpoint security.

The ideal candidate is a forward-thinking technical leader with strong communication skills, deep experience in modern endpoint management platforms, and a passion for automation, standardization, and continuous improvement.

Responsibilities:

• Oversee the engineering, automation, and lifecycle management of all corporate endpoints
• Guide a team of Desktop Engineers and Support Analysts
• Drive modernization initiatives across device management, imaging, patching, software deployment, and endpoint security

Required qualifications:

• 5+ years of experience in Desktop Engineering, Endpoint Management, or EUC roles
• 2+ years in a technical lead or mentorship capacity
• Deep experience with modern endpoint management platforms (Intune, Jamf, SCCM/MECM)

Preferred qualifications:

• Experience with Conditional Access, identity-driven security, and Zero Trust concepts
• Familiarity with endpoint analytics, telemetry, or monitoring tools
• Experience with virtual desktop platforms (Azure Virtual Desktop, Citrix, VMware Horizon)
• Relevant certifications (Microsoft, Jamf, ITIL, CompTIA)

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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 a company with a diverse workforce and teams distributed between France, USA, UK, Germany and Singapore. We are looking for passionate and skilled software engineers to join our team.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

System Architecture

• Design and implement efficient, secure and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

Code Quality

• Write clean, maintainable and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.

Cross-functional Collaboration

• Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

Problem-Solving & Innovation

• Tackle complex engineering challenges, from distributed systems to AI product integration.
• Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Experience Level

This role is suitable for entry-level, mid-level, senior-level, and staff-level engineers.

Employment Type

This is a full-time position.

Workplace Type

This role is based in one of our European offices (Paris, France and London, UK).

Category

This role falls under the category of Engineering.

Industry

This role is in the Technology industry.

Salary Range

The salary range for this position is competitive and will be discussed during the hiring process.

Required Skills

• Python
• Backend development
• APIs
• Databases
• Caching
• Messaging systems
• Distributed architectures

Preferred Skills

• Front-end development
• Infrastructure management
• AI/ML engineering
• Observability and monitoring tools
• UX and product-centric mindset

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As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations.

Key Responsibilities:

• Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security).
• Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models).
• Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently.
• Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.

Knowledge Sharing & Process Improvement:

• Documentation: Create and update technical FAQs, troubleshooting guides, and internal knowledge base articles to empower self-serve/L1 team and reduce recurrence of issues.
• Feedback Loop: Identify recurring pain points in on-premise deployments and suggest improvements to product, documentation, or support workflows.

Customer-Centric Approach:

• Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations.
• Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.

Technical Expertise:

• On-Premise & Cloud Environments: Deep understanding of Linux/Windows servers, networking, virtualization, storage, security (firewalls, RGPD compliance), and cloud providers (AWS, GCP, Azure).
• Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts.
• Terraform: Familiarity with Infrastructure as Code (IaC) for managing cloud resources is a strong plus.
• AI Infrastructure: Knowledge of AI/ML pipelines, LLM/RAG deployments, GPU acceleration, and data storage solutions for enterprise clients.
• Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).

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Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
• System Architecture: Design and implement efficient, secure, and scalable architectures that support our fast-growing products.
• Code Quality: Write clean, maintainable, and well-documented code.
• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features.
• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration.

You will be working closely with our team to design, develop, and deploy scalable and reliable systems that meet the needs of our users.

We are looking for someone with a strong background in software engineering, a passion for building scalable systems, and excellent communication skills.

Responsibilities:

• Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.
• Design and implement efficient, secure, and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.
• Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
• Tackle complex engineering challenges, from distributed systems to AI product integration.

Requirements:

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• 5+ years of relevant work experience.
• Proficiency in Golang or another backend language (Python, Rust…).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems, and distributed architectures.
• Experience with cloud-based (AWS, GCP, Azure) and bare-metal infrastructure.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset, and curiosity for learning.

Nice to have:

• Front-end development (Typescript, React, NextJS…)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform…)
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)

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We are seeking a Technical Support Engineer - Use Cases to join our Support team in France. This role is ideal for someone who excels at technical troubleshooting, incident investigation, and customer communication in a B2B environment.

Key Responsibilities

Technical Support & Incident Management

Handle escalated tickets from enterprise clients via Intercom, focusing on applications and use cases built by our Solutions team, and based on Mistral products (eg. Mistral Studio, Document AI). Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (e.g., API errors, edge case failures, processing workflows issues). Cross-Team Collaboration: Work closely with solutions and engineering teams to escalate, track, and resolve incidents efficiently. Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.

Knowledge Sharing & Process Improvement

Documentation: Create and update technical FAQs as well as applications’ documentation and troubleshooting guides Feedback Loop: Identify recurring pain points in customers’ applications and suggest improvements to product, documentation, or support workflows.

Customer-Centric Approach

Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations. Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.

Technical Expertise

Full-Stack Engineering: Experience with both frontend (React, NextJS, VueJS) and backend (Python, FastAPI) software engineering. AI Engineering: Experience with AI and LLM applications. Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts. Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).

Who You Are

Required Experience: 3+ years in technical support, software engineering, or LLMs, with a focus on end-to-end systems. Technical Skills: Hands-on experience with troubleshooting complex technical issues in enterprise environments. Knowledge of AI/ML workflows, data pipelines, and software engineering best practices. Familiarity with ticketing systems (Intercom), RGPD compliance, and security best practices. Soft Skills: Exceptional problem-solving and analytical skills. Strong written and verbal communication in French and English (additional languages are a bonus). Ability to explain technical concepts clearly to non-technical stakeholders. Mindset: Customer-obsessed, with a passion for delivering high-quality support. Collaborative, able to work effectively in a distributed, fast-paced team. Curious and adaptable, with a willingness to learn and master new technologies.

Why Join Mistral AI?

Directly contribute to the success of enterprise AI solutions and shape the future of AI support. Opportunities for career advancement in support leadership, technical specialization, or customer success. Work with cutting-edge AI technology in a dynamic, mission-driven company. Join a passionate, diverse, and low-ego team that values collaboration and continuous learning. Hybrid flexibility (Paris or Marseille office) with a focus on work-life balance and professional development.

What We Offer

Competitive cash salary and equity Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership Transportation: Monthly contribution to a mobility pass via Betterway Health: Full health insurance for you and your family Parental: Generous parental leave policy Visa sponsorship Coaching: we offer BetterUp coaching on a voluntary basis

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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 a global company with teams distributed between France, USA, UK, Germany, and Singapore. We are a low-ego and team-spirited organisation.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimisation.

• Code Quality: Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 minutes
• Live-coding interview - 45 minutes
• System Design interview - 45 minutes
• Hiring Manager interview - 30 minutes
• Deep Dive Interview (only for leads & staff engineers) - 60 minutes
• Culture-fit discussion - 30 minutes
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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Responsibilities: Serve as the designated BSA Officer for our US-regulated entities and serve as the primary point of contact for state applicable regulatory agencies, the OCC and FinCEN. Own and evolve Bridge's global AML/BSA and financial crime program, including policies, risk assessments, and governance. Oversee core operations: customer due diligence, EDD, transaction monitoring, sanctions screening, SARs/CTRs, and investigations. Partner with Product, Engineering, and Risk to ensure controls are effective, scalable, and embedded into workflows. Prepare board/executive reporting, support independent audits/exams, and guide the company through supervisory processes. Lead global financial crime strategy across entities and jurisdictions as Bridge continues to grow. Accountable for regulatory change management, including tracking, interpreting, and operationalizing OCC bulletins, FFIEC updates, and FinCEN rulemaking. Provide oversight of model risk management where transaction monitoring or sanctions screening tools involve machine learning or statistical models, consistent with OCC model risk guidance. Responsibility for ensuring staff training programs meet OCC standards , including board-level AML/BSA training and documentation of attendance/completion.

Requirements: 8+ years leadership experience in AML/BSA, including responsibility for regulator-facing financial crime programs (e.g., MLRO, BSA Officer, Deputy BSA Officer). Strong working knowledge of U.S. BSA/AML, OFAC, OCC expectations, and FFIEC requirements. Comfortable in a startup-like environment , able to move between high-level strategy and hands-on work. Strong communicator who can work cross-functionally and engage confidently with regulators.

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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 a pioneering company shaping the future of AI. Our comprehensive AI platform meets enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

• Code Quality: Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 min
• Live-coding interview - 45 min
• System Design interview - 45 min
• Hiring Manager interview - 30 min
• Deep Dive Interview (only for leads & staff engineers) - 60 min
• Culture-fit discussion - 30 min
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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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 a global organisation with a diverse workforce distributed between France, USA, UK, Germany, and Singapore. Our teams are passionate about AI and its potential to transform society.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you'll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure, and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimisation.

• Code Quality: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems, and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset, and curiosity for learning.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 minutes
• Live-coding interview - 45 minutes
• System Design interview - 45 minutes
• Hiring Manager interview - 30 minutes
• Deep Dive Interview (only for leads & staff engineers) - 60 minutes
• Culture-fit discussion - 30 minutes
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations.

This is a unique opportunity to work at the intersection of AI infrastructure, customer success, and technical problem-solving.

Key Responsibilities:

Technical Support & Incident Management

• Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security).

• Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models).

• Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently.

• Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.

Knowledge Sharing & Process Improvement

• Documentation: Create and update technical FAQs, troubleshooting guides, and internal knowledge base articles to empower self-serve/L1 team and reduce recurrence of issues.

• Feedback Loop: Identify recurring pain points in on-premise deployments and suggest improvements to product, documentation, or support workflows.

Customer-Centric Approach

• Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations.

• Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.

Technical Expertise

• On-Premise & Cloud Environments: Deep understanding of Linux/Windows servers, networking, virtualization, storage, security (firewalls, RGPD compliance), and cloud providers (AWS, GCP, Azure).

• Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts.

• Terraform: Familiarity with Infrastructure as Code (IaC) for managing cloud resources is a strong plus.

• AI Infrastructure: Knowledge of AI/ML pipelines, LLM/RAG deployments, GPU acceleration, and data storage solutions for enterprise clients.

• Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).

Who you are:

Required Experience: 3+ years in technical support, systems administration, or DevOps, with a focus on on-premise or hybrid infrastructures.

Technical Skills:

• Hands-on experience with troubleshooting complex technical issues in enterprise environments.

• Knowledge of AI/ML workflows, data pipelines, or high-performance computing (a strong plus).

• Familiarity with ticketing systems (Intercom), RGPD compliance, and security best practices.

Soft Skills:

• Exceptional problem-solving and analytical skills.

• Strong written and verbal communication in French and English (additional languages are a bonus).

• Ability to explain technical concepts clearly to non-technical stakeholders.

Mindset:

• Customer-obsessed, with a passion for delivering high-quality support.

• Collaborative, able to work effectively in a distributed, fast-paced team.

• Curious and adaptable, with a willingness to learn and master new technologies.

Why Join Mistral AI?

• Impact: Directly contribute to the success of enterprise AI deployments and shape the future of on-premise support.

• Growth: Opportunities for career advancement in support leadership, technical specialization, or customer success.

• Innovation: Work with cutting-edge AI technology in a dynamic, mission-driven company.

• Team: Join a passionate, diverse, and low-ego team that values collaboration and continuous learning.

• Work Environment: Hybrid flexibility (Paris office) with a focus on work-life balance and professional development.

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Job Summary

As a Software Engineer- III at Electronic Arts, you will lead the end-to-end architecture, design, and implementation of scalable, high-throughput live service platform components that power multiple EA game studios. You will partner with cross-functional teams to streamline and evolve the live services workflow, evaluate and define how EA's live service platforms, studio technology stacks, and third-party/vendor solutions integrate to meet engineering and business objectives in a scalable and cost-effective manner.

Responsibilities

• Lead the end-to-end architecture, design, and implementation of scalable, high-throughput live service platform components that power multiple EA game studios.
• Partner with cross-functional teams including Content Management & Delivery, Messaging, Segmentation, Recommendation, and Experimentation to streamline and evolve the live services workflow.
• Evaluate and define how EA's live service platforms, studio technology stacks, and third-party/vendor solutions integrate to meet engineering and business objectives in a scalable and cost-effective manner.
• Own technical design reviews and drive architectural decisions, ensuring solutions are resilient, extensible, secure, and aligned with long-term platform strategy.
• Use large-scale datasets across 20+ game studios to promote data-driven decision-making, experimentation, and continuous optimization.
• Engage with Game Studios, Experience, and Brand organizations to deeply understand use cases, translate business requirements into technical designs, and drive end-to-end solution delivery.
• Collaborate closely with Product Management to prioritize initiatives, define measurable outcomes, and deliver solutions with clear ROI.
• Partner with Program Management to define sprint goals, plan and prioritize work, and own the team's sprint commitments and delivery outcomes.
• Partner with Legal and Privacy teams to ensure compliance with global regulatory requirements and data governance standards.
• Lead and mentor engineers, providing technical direction, conducting design/code reviews, and fostering engineering excellence.
• Drive stakeholder alignment across multiple teams, locations, and time zones by communicating architecture, trade-offs, risks, and execution plans clearly and effectively.
• Ensure operational excellence for 24/7 live services through proactive monitoring, performance tuning, capacity planning, and incident management.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7-9 years of relevant industry experience in designing and building scalable distributed systems.
• Strong expertise in software design principles, algorithms, and data structures.
• Proven architectural and system design experience, including hands-on ownership of highly scalable, high-throughput, low-latency systems.
• Demonstrated experience leading high-performing engineering teams (2-3+ years), including mentoring, technical guidance, and driving delivery.
• Strong stakeholder management skills, with experience collaborating across product, engineering, legal, and business teams.
• Proficiency in Java and at least one scripting language (preferably Python).
• Hands-on experience with backend frameworks and technologies (e.g., Spring Boot).
• Experience designing and operating distributed systems using messaging and streaming platforms (e.g., Kafka).
• Strong experience with large-scale data pipelines, personalization platforms, analytics systems, and experimentation frameworks.
• Experience with relational, columnar, and/or document-oriented databases.
• Experience managing high-traffic, 24/7 production systems with complex dependencies in cloud environments, preferably AWS.
• Solid understanding of multi-cloud architectures and large-scale data processing systems.
• Working knowledge of containerization and orchestration technologies (Docker, Kubernetes).
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana).
• Experience with CI/CD pipelines and version control systems (e.g., GitLab CI/CD).
• Familiarity with modern software development best practices, including clean code principles, automated testing, CI/CD, and DevOps practices.
• Exposure to frontend technologies (HTML, CSS, JavaScript frameworks such as React) is a plus.

Benefits

Electronic Arts offers a comprehensive benefits package that includes healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimising resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyse signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures.

Responsibilities:

• Ability to think and respond quickly in a rapidly-changing greenfield environment
• Jumping into other teams' code to identify key points to gather signals or introduce interventions with minimal impact on their systems' stability, complexity, or overall architecture
• Integration with third-party data-enrichment vendors
• Creating monitoring dashboards, alerts, and internal admin UX
• Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximise the impact of their human-review availability
• Building robust and reliable multi-layered defenses
• Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses

You may be a good fit if you have:

• A Bachelor's degree in Computer Science, Software Engineering or comparable experience
• 5-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection.
• Proficiency in Python, SQL, and data analysis tools.
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong candidates may also:

• Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale
• Have worked closely with operational teams to build custom internal tooling

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation

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Compensation

• $86.4K – $228K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders such as Oracle today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced hardware professionals who can help ensure our high-density compute environment operates at peak performance.

About the Role

We are seeking a senior datacenter hardware operations technician to coordinate physical hardware activities at a large partner-operated campus. In this role you will work side-by-side with Oracle and their delivery teams, helping align OpenAI’s compute requirements with day-to-day hardware work on the ground. Rather than directing partner personnel, you will focus on collaboration, technical alignment, and shared problem solving, ensuring that maintenance, repairs, and lifecycle activities support the performance and reliability goals of both organizations. As the campus matures, you will help capture lessons learned and develop standards and playbooks to guide hardware operations at future OpenAI infrastructure projects.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

Responsibilities

• Serve as OpenAI’s primary on-site hardware contact, collaborating with Oracle teams and vendors to plan and coordinate maintenance, repairs, and lifecycle activities.

• Share technical requirements and verify that work performed supports OpenAI’s compute needs and agreed quality targets.

• Coordinate schedules, spare-parts planning, and issue escalation with partner teams to minimize downtime and keep operations running smoothly.

• Work with OpenAI fleet-health engineers to translate software-detected issues into on-site hardware actions in partnership with Oracle.

• Track hardware trends and provide joint recommendations with partner teams for design or operational improvements.

• Prepare documentation and runbooks that capture joint best practices and can be applied at additional campuses.

• Offer technical guidance and context to partner personnel while respecting their operational ownership.

• Collaborate with supply-chain teams to plan spares and manage hardware lifecycle activities.

Requirements

• Have 7+ years of experience in datacenter hardware operations, hardware engineering, or large-scale server maintenance, with at least 2 years in a senior or lead technician capacity.

• Bring deep knowledge of high-density server hardware, including x86 platforms, GPUs, storage devices, and power/cooling systems.

• Excel at diagnosing hardware issues, coordinating complex repairs, and maintaining strong working relationships across organizations.

• Are comfortable setting technical expectations and validating outcomes through collaboration, not direct management.

• Adapt quickly to changing operational conditions and enjoy solving problems at both the strategic and on-site levels.

• Communicate clearly and build trust across partner teams, vendors, and internal engineering stakeholders.

• Are willing to be based full-time at a partner-operated campus

Preferred Skills

• Familiarity with large-scale cluster management or monitoring tools (IPMI, BMC, Prometheus, Nagios) to interpret alerts and coordinate partner responses.

• Experience with GPU-accelerated compute clusters or other high-performance computing hardware.

• Knowledge of Linux/Unix system administration and command-line diagnostic tools for hardware validation.

• Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.

About the role

As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.

Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.

Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.

In this role, you will:

• Build and maintain automation systems for provisioning and managing server fleets.

• Develop tools to monitor server health, performance, and lifecycle events.

• Collaborate with clusters, networking, and infrastructure teams.

• Partner with external operators to ensure a high level of quality.

• Identify and fix performance bottlenecks and inefficiencies.

• Continuously improve automation to reduce manual work.

You might thrive in this role if you have:

• Experience managing large-scale server environments.

• A balance of strengths in building and operationalizing.

• Proficiency in Python, Go, or similar languages.

• Strong Linux, networking, and server hardware knowledge.

• Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.

Prior hardware expertise is not required for this role.

Bonus Skills:

• Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)

• Knowledge of hardware management protocols (e.g., IPMI, Redfish).

• High-performance computing (HPC) or distributed systems experience.

• Prior experience developing, managing, or designing hardware.

• Familiarity with monitoring tools (e.g., Prometheus, Grafana).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.

About the role

As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.

Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.

Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.

In this role, you will:

• Build and maintain automation systems for provisioning and managing server fleets.

• Develop tools to monitor server health, performance, and lifecycle events.

• Collaborate with clusters, networking, and infrastructure teams.

• Partner with external operators to ensure a high level of quality.

• Identify and fix performance bottlenecks and inefficiencies.

• Continuously improve automation to reduce manual work.

You might thrive in this role if you have:

• Experience managing large-scale server environments.

• A balance of strengths in building and operationalizing.

• Proficiency in Python, Go, or similar languages.

• Strong Linux, networking, and server hardware knowledge.

• Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.

Prior hardware expertise is not required for this role.

Bonus Skills:

• Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)

• Knowledge of hardware management protocols (e.g., IPMI, Redfish).

• High-performance computing (HPC) or distributed systems experience.

• Prior experience developing, managing, or designing hardware.

• Familiarity with monitoring tools (e.g., Prometheus, Grafana).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

• Lead, supervise, and support Control Room Operators during all shifts.
• Ensure control room activities fully adhere to operational, security, and regulatory requirements.

What you need

• Diploma or degree in IT, Operations, Business, or related field (or equivalent experience).

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