Solve distributed systems problems: Own session management across scaled-out workers , including affinity, checkpointing, crash recovery, and consistency under concurrent access.

Build a function execution platform: Own a serverless-style runtime where customers deploy custom logic , build orchestration, container lifecycle, autoscaling, and versioned rollouts.

Own developer experience and test infrastructure: Build CLI tools, local development environments, and test execution frameworks that let engineers iterate quickly and ship with confidence.

Raise the bar on production quality: Drive observability, incident response, and engineering best practices across the team.

We're looking for a senior software engineer with 5+ years of experience in infrastructure, platform, or systems work. You should have strong Python and Go skills, as well as a deep understanding of distributed systems, consistency, fault tolerance, state management, and concurrency.

Experience with Kubernetes and cloud-native infrastructure is also required. You should be able to build developer-facing tooling, such as CLIs, SDKs, local dev environments, or internal platforms.

A high bar for code quality, thorough testing, thoughtful code review, and sustainable engineering practices are essential. You should be comfortable operating what you build, on-call, incident response, and production ownership.

AI-native workflow is a must, and you should actively use LLMs and AI-assisted tools in your daily development.

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The goal is to build bespoke software to model our infrastructure at both a physical and logical level to drive planning, coordination, automation, of some of the most advanced AI datacenters.

You'll work closely with frontend engineers to bring rich user experiences built on top of your backends, and own how these services are deployed and run in production including scaling, redundancy and monitoring.

Key responsibilities include:

• Designing and building data models and APIs that capture the complexity of datacenter infrastructure
• Creating high-throughput API services in Go (gRPC, GraphQL, and/or REST) that support the data density and interaction speed the frontend demands
• Building the backend architecture from the ground up, including service structure, data access patterns, caching strategy, and API contracts designed to scale with the team and product scope
• Integrating with internal/external systems and data sources that feed infrastructure planning, ensuring the platform reflects real-world state and planned builds accurately
• Deployment and operational infrastructure for the services you build, including Kubernetes manifests, CI/CD pipelines, observability, and reliability practices

Requirements include:

• Strong proficiency in Go
• Deep experience with relational databases, specifically PostgreSQL and CockroachDB
• Experience designing and building APIs (gRPC, GraphQL, and REST) with attention to type safety, pagination, caching, filtering, and error handling
• Proven experience of performance optimization on the backend
• Familiarity with authentication, authorization, and backend security best practices for internal tooling
• Experience owning deployment and operations for the services you build
• Genuine curiosity about (or direct experience with) physical datacenter infrastructure
• Strong data modeling instincts
• Ability to work directly with infrastructure engineers to understand their workflows, identify pain points, and translate messy real-world processes into clean data models and APIs

Nice to have includes direct experience with datacenter operations, infrastructure planning, or familiarity with DCIM tools like NetBox, Infrahub or Sunbird, experience with CockroachDB specifically, experience building systems that handle complex graph-like or hierarchical relational data, exposure to Infrastructure-as-Code, Terraform, or GitOps workflows, and experience with event-driven architectures, change data capture, or audit logging for compliance-sensitive systems.

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core, Act Like an Owner, Empower Employees, Deliver Best-in-Class Client Experiences, and Achieve More Together.

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Your team will build a CD engine that goes beyond script execution,bringing true reconciliation, live state awareness, durable orchestration, and AI-native governance to GitLab's platform. The goal is to deliver features that enable customers to deploy software reliably, safely, and with confidence. This work sits at the intersection of GitLab's core platform and its AI strategy, making it a high-visibility, fast-moving area of the product.

You'll partner closely with Product Management, cross-functional engineering teams, and infrastructure stakeholders to align technical decisions with customer needs and business goals, while building a team culture grounded in GitLab's values.

Key responsibilities include:

• Building and leading a new globally distributed engineering team, creating an environment where team members can do their best work and grow their careers.

• Hiring, onboarding, and developing engineers who embody GitLab's values and hold themselves to a high standard of quality and ownership.

• Partnering with Product Management and cross-functional engineering teams to shape the roadmap, make sound architectural decisions, and deliver against product commitments.

• Fostering a culture of engineering excellence across reliability, performance, security, and maintainability, while keeping the pace expected in a fast-moving product area.

• Championing AI as a core part of how the team works, encouraging engineers to incorporate AI tools into their daily workflows to drive efficiency and innovation.

• Holding regular 1:1s, providing continuous feedback, and supporting engineers' professional growth through coaching and skill development.

• Driving a healthy delivery cadence by maintaining visibility into milestone progress, identifying blockers early, and proactively addressing patterns before they require escalation.

• Participating in the Incident Management on-call rotation to help ensure availability targets for GitLab.com are met.

To succeed in this role, you'll need:

• Demonstrated leadership experience managing high-performing engineering teams, with hands-on technical credibility to provide architectural guidance and participate meaningfully in technical discussions.

• Strong background in distributed systems and durable workflow execution, including state persistence and replay patterns.

• Experience building or leading teams working on release orchestration, deployment automation, or continuous delivery at scale.

• Familiarity with Kubernetes deployment patterns and GitOps workflows, including progressive delivery strategies such as blue/green and canary deployments.

• Experience with policy-based governance and event-driven architectures in building reliable, enterprise-grade delivery systems.

• Proven ability to build and lead teams in early-stage contexts, including defining team processes, hiring foundational members, and establishing a strong team culture.

• Strong cross-functional alignment and consensus-building skills, with the ability to drive decisions and execution even in the face of ambiguity or competing priorities.

• Exceptional written and verbal communication skills, with a bias toward async, handbook-first practices and transparency.

• Experience in remote-first, globally distributed organizations and comfort operating in environments with high autonomy and high accountability.

• Track record of fostering inclusive team cultures where engineers feel psychologically safe to contribute, take calculated risks, and hold each other to high standards.

• Strong alignment with GitLab's values (Collaboration, Results, Efficiency, Diversity Inclusion & Belonging, Iteration, Transparency) with demonstrated examples from previous roles.

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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 Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organisation and keeping the safety and trust of our users at the forefront of everything we do.

Responsibilities:

• Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls
• Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management
• Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows
• Apply deep expertise in threat modeling and risk assessment to secure complex multi cloud environments
• Mentor engineers and contribute to hiring and growth of the Security team

You may be a good fit if you:

• 5-15+ years of software engineering experience implementing and maintaining critical systems at scale
• Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
• Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
• Experience managing infrastructure at scale with DevOps and cloud automation best practices
• Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
• Proven ability to lead cross-functional security initiatives and navigate complex organisational dynamics
• Outstanding communication skills, translating technical concepts effectively across all organisational levels
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Strong systems thinking with ability to identify and mitigate risks in complex environments
• Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams
• Experience supporting fast-paced startup engineering teams
• Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values

Strong candidates may also have experience with:

• Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement
• Building secure development workflows through hardened remote environments
• Implementing network segmentation and access controls in cloud environments
• Managing infrastructure through automated configuration and policy enforcement
• Hardening containerized applications and enforcing security policies

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.

Salary

The annual compensation range for this role is £240,000 - £325,000GBP.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

IT

Compensation

• $230K – $325K • 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.

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’s Applications Engineering team engineers, owns, and evolves OpenAI’s core productivity ecosystem—not simply as custodians of SaaS solutions, but by building custom tools, integrations, and automation that solve problems off-the-shelf software cannot. With a company-wide lens and deep technical expertise, we bridge gaps between teams, operationalize applications for scale, and deliver secure, seamless, and innovative employee experiences. We proactively design and develop custom solutions where required, creating paved paths that reduce friction, improve productivity, and enable other teams to focus on their core missions.

About the Role

As a Software Engineer: Internal Applications, Enterprise, you are tasked with enhancing employee technology services through automation, Infrastructure-as-Code (IaC), and the development of workforce tooling. You will leverage OpenAI's models to optimize identity and access management (IAM) systems, build applications and dashboards for internal users, and streamline complex workflows through automation. This role involves designing and implementing efficient, secure, and scalable solutions, including intelligent Slack bots and integrations to improve operational efficiency and user experience.

Responsibilities

• Design, build, implement, and maintain secure, scalable, and performant workforce technology infrastructure, automation workflows, and bespoke tooling that improves the OpenAI employee experience.

• Deliver critical IT efficiencies and automation through both bespoke software development and first-party tooling to enhance technology service delivery.

• Employ modern Infrastructure-as-Code (IaC) methodologies, developing GitOps-driven solutions to manage technology workflows at scale.

• Build and maintain CI/CD pipelines for corporate infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).

• Create scalable internal tools and dashboards to optimize workflows and improve visibility into engineering operations.

• Design and manage internal integrations, including Slack bots and workflow automation solutions.

• Support IAM processes by automating access provisioning and lifecycle management for internal applications.

• Collaborate with the IAM team to manage cloud-based identity and access controls, ensuring compliance with security policies and standards for internal applications.

• Collaborate with security teams to align technology automation initiatives with Zero Trust principles and compliance frameworks.

• Implement role-based access controls (RBAC) and mitigate security risks through automated policies.

• Work cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.

• Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.

Requirements

• Proficiency in a modern programming language, ideally Python.

• Strong knowledge of and experience with cloud platforms (Azure, AWS, GCP) and infrastructure management.

• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.) as well as cloud automation best practices.

• Experience integrating corporate infrastructure with CI/CD pipelines and

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