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Distyl AI
Distyl AI
11 – 50 Employees
Artificial IntelligenceB2BSaaS
Distyl AI is an artificial intelligence company serving businesses with dependable, integrated generative AI solutions. Its team works with institutions to improve AI readiness and develop products tailored to their data, workflows, and employee needs. Through its proprietary tools and partnerships, including an alliance with OpenAI, Distyl AI builds and deploys enterprise-focused AI products designed around reliability and responsible implementation.
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Senior DevSecOps Infrastructure Engineer

Lead secure build, test, and release infrastructure for Distyl AI’s enterprise AI operations. Improve developer productivity with coding-agent tools, software supply-chain security, and reliable cloud deployments.

USUnited StatesCACaliforniaNYNew York
$200,000 – $250,000 / year
HybridFull-timeSeniorLeadEnglish RequiredInfrastructure Engineer
CloudJavaScriptKubernetesLinuxMicroservicesPython

Description

  • Set priorities for build, test, release, and coding-agent infrastructure.
  • Select tools and standards with engineering partners, then lead their implementation, adoption, and operation across teams.
  • Establish shared repository conventions and reusable build and test workflows.
  • Make builds reproducible and efficient with explicit dependencies, consistent tooling, and caching.
  • Build artifacts once, then promote immutable, versioned bundles through release stages with source traceability and test and security gates.
  • Coordinate with Platform, Runtime, and Customer Delivery on integration and compatibility testing, configuration and schema changes, and recovery.
  • Enable distribution through customer registries and offline packaging when needed.
  • Provide reusable coding-agent tools that help engineers diagnose failures, suggest fixes, and handle routine tasks.
  • Add tests, scoped permissions, failure handling, and independent output checks to agent-enabled workflows.
  • Track coding-agent quality and the time saved.
  • Implement artifact signing and provenance, software bills of materials (SBOMs), isolated build runners, scoped CI credentials, and vulnerability gates.
  • Incorporate dependency and container remediation into engineering workflows.
  • Improve the developer experience with self-service tools, documentation, and diagnostics.
  • Monitor build and test latency, pipeline reliability, flaky-test rates, release lead time, and tooling adoption.
  • Define service-level objectives and direct actionable alerts to owners.

Requirements

  • At least 10 years of experience in software engineering, developer productivity, SRE, or related infrastructure engineering roles.
  • Experience helping engineers use coding agents through reusable tools, workflows, and guidance, with independent validation and scoped access.
  • Experience owning production build, test, and release infrastructure across services and teams, including versioned release bundles and compatibility testing.
  • Hands-on experience with build systems, dependency management, reproducibility, performance diagnosis, and caching.
  • Strong Python skills for building and debugging backend services and maintainable automation.
  • Able to navigate unfamiliar code, including JavaScript frontends.
  • Strong Linux fundamentals.
  • Experience building and maintaining secure container images.
  • Working knowledge of Kubernetes, GitOps, infrastructure as code, and cloud deployment.
  • Hands-on experience implementing software supply-chain controls.
  • Sound security judgment across permissions, credentials, dependencies, artifacts, and remediation.
  • Experience building developer platforms, automated remediation, or reusable agent tools adopted by other engineers.
  • Track record of improving build and test performance, release reliability, and tooling adoption using metrics and developer feedback.
  • Experience independently leading complex projects and migrations.
  • Track record of setting technical direction and driving adoption across teams.
  • Preferred: Experience building and operating testing infrastructure in a microservices environment.
  • Preferred: Experience distributing release artifacts to customer registries or restricted environments, including offline packaging.
  • Able to work from or relocate to the San Francisco or New York office.
  • Authorized to work in the United States.

Benefits

  • Meaningful equity.
  • Medical, dental, and vision insurance fully covered for employees and their dependents.
  • Flexible time off.
  • Retirement and financial planning benefits, including pre-tax HSA, FSA, and commuter accounts, a 401(k), and financial coaching resources.
  • Wellness benefits covering physical fitness, mental well-being, and fertility and family-building support through Carrot.
  • Complimentary in-office lunches and snacks.
  • Access to advanced AI models and generous use of modern AI tools.
  • Ownership of high-impact projects across leading enterprises.
  • A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence.