OpenAI

Software Engineer, Identity Infrastructure

RemotePosted 9 months ago

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Salary
AED 15k–20k a month· Michael Page
Job type
Full time
Level
Senior
Field
Engineering & Technology
Work mode
Remote

About the role

About the Team The Identity Infrastructure Engineering team builds the identity and access systems that OpenAI’s researchers, engineers, and internal teams rely on to protect critical systems and data. We partner with Research, Applied Engineering, Infrastructure, IT, and Security to make secure access practical across cloud and internal environments. About the Role We’re looking for a hands-on software engineer to design and build high-scale, high-throughput secure access proxies and the distributed systems behind them. These are tier-zero services: researchers, engineers, and agents depend on them to reach critical infrastructure safely and reliably. You’ll work at the intersection of networking, distributed systems, and infrastructure security, building the serving paths and control-plane integrations that connect identities to resources. Teleport is a core part of the current platform; the role also includes credential brokers, policy enforcement, and developer-facing integrations. You’ll own the services you build from design and implementation through production. That means understanding human, agent, and workload traffic, improving throughput and tail latency, making authorization decisions auditable, and designing for safe multi-region rollout and recovery. We’re looking for someone who can turn a demanding security requirement into software that works well at scale and is straightforward for other engineers to use. In this role, you will: - Design and implement secure access proxies, gateways, and credential brokers that provide narrowly scoped, auditable access to infrastructure and internal services while reducing standing privileges.. - Integrate identity and access policy across clients, proxies, and target systems so approved permissions take effect promptly and access expires or is revoked when required. Ensure correct behavior when policy is stale or sessions remain active. - Build observability that explains the end-to-end access path: latency, errors, saturation, authorization decisions, and identity attribution, without leaking credentials. - Engineer safe multi-region rollouts, canaries, rollback, failover, and recovery. Validate changes with realistic test environments, load tests, and failure testing. - Keep core access services reliable, performant, and maintainable. Own production support, maintenance, upgrades, and incident recovery; ship durable fixes that reduce recurring failures, alert noise, and manual work. - Make secure access easy to adopt through reusable APIs, client tooling, diagnostics, and self-service workflows. Lead migrations that preserve critical workflows, with tested rollback and recovery paths and clear ownership across Infrastructure, Security, and SRE. You might thrive in this role if you: - Have built and operated production backend, proxy, networking, or infrastructure services with demanding scale or availability requirements. - Have practical networking depth and can reason about HTTP, TCP, TLS, DNS, routing, and load balancing across real request paths. - Can explain how you handled performance bottlenecks, partial failures, multi-region deployment, or a difficult production change in a system you personally built. - Understand authentication, authorization, least privilege, trust boundaries, credential handling, and the consequences of an access-control failure. - Have strong software engineering fundamentals and experience with Go, Rust, Python, or similar languages. - Use tests, profiling, telemetry, and reproducible experiments to debug across system boundaries and verify correctness, performance, and recovery. - Make practical scope decisions, communicate tradeoffs clearly, and follow through from code to production. Teleport or comparable access-platform experience is helpful; strong engineering and production ownership matter more than knowing every tool. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with th

Requirements

  • A background in building secure systems—from core IAM services to orchestration layers that manage credentials, roles, or policies at scale.
  • Proficiency in programming languages such as Python, Go, or similar, with a track record of writing high-quality, maintainable code.
  • Experience with modern cloud infrastructure (AWS, Azure, GCP) and familiarity with industry-standard security protocols (OAuth, SAML, OpenID Connect) and authentication/authorization patterns.
  • A security-focused mindset, with knowledge of threat modeling, risk assessment, and the ability to embed security features throughout the software development lifecycle.
  • Excellent collaboration skills—you work well across diverse technical and non-technical teams, turning broad objectives into actionable solutions.

Responsibilities

  • - Build new features for our IAM platform that seamlessly integrate with evolving cloud services, enabling teams to work efficiently while adhering to security best practices.
  • - Drive security innovation by designing tools, processes, and architectures that protect data at scale and reinforce a secure development culture across the organization.
  • - Collaborate cross-functionally with researchers, engineers, and compliance teams to address security requirements for multi-cloud deployments, large-scale model training, and emerging AI use cases.
  • - Implement and refine access policies that strike the right balance between enabling rapid experimentation and protecting high-value assets, including model weights and customer data.
  • - Troubleshoot complex identity or access issues across distributed systems, ensuring minimal downtime and a safe environment for AI research and product teams.

Skills

  • Go
  • Python
  • Rust
  • HTTP
  • TLS
  • DNS
  • OAuth
  • SAML
  • OpenID Connect
  • access-control
  • IAM
  • cloud infrastructure
  • production backend
  • security engineering
  • observability

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AED 15k–20k a month· Michael Page

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