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Salary: USD 200,000 - 250,000 / annual
Distyl AI is an applied AI technology company partnering with major institutions to rearchitect critical operations for the frontier of AI. The company works with the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations, deploying AI-native operations technologies that affect hundreds of millions of consumer interactions, tens of millions of supply chain transactions, and millions of patient journeys.
You will own how Distyl engineers build, test, secure, and release software. The company's independently versioned services span multiple repositories and deploy into customer environments across AWS, Azure, and GCP with varying security, connectivity, and upgrade constraints.
Key responsibilities include:
- Set technical direction and priorities for build, test, release, and coding-agent infrastructure. Choose tools and standards with engineering partners, and own implementation, adoption, and operation across teams.
- Standardize repository conventions and reusable build/test workflows. Make builds reproducible and efficient through explicit dependencies, consistent tooling, and effective caching.
- Build release engineering systems that promote versioned bundles of immutable artifacts through release stages with source traceability, test gates, and security gates. Partner with Platform, Runtime, and Customer Delivery teams on integration, compatibility testing, configuration changes, and recovery. Support customer-registry distribution and offline packaging.
- Equip engineers with reusable coding-agent tools to diagnose failures, propose fixes, and handle routine work, including tests, scoped permissions, failure handling, and independent output validation.
- Implement artifact signing, provenance, software bills of materials (SBOMs), isolated build runners, scoped CI credentials, and vulnerability gates. Integrate dependency and container remediation into engineering workflows.
- Understand engineers' workflows and remove friction with self-service tools, documentation, and diagnostics. Use developer feedback to guide incremental migrations and reduce manual work.
- Track build/test latency, pipeline reliability, flaky-test rates, release lead time, and tooling adoption. Use metrics and developer feedback to reduce bottlenecks and set service-level objectives.
This is a hands-on role with scope matched to your experience. You will build shared delivery systems and coding-agent workflows that make releases reliable, failures actionable, and engineers more productive. Your systems will shape how every Distyl engineer ships.
Requirements:
- 10+ years of experience in software engineering, developer productivity, SRE, or related infrastructure engineering roles
- Experience enabling engineers to 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; comfortable navigating unfamiliar code including JavaScript frontends
- Strong Linux fundamentals and 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 with demonstrated security judgment across permissions, credentials, dependencies, artifacts, and remediation
- Experience building developer platforms, automated remediation, or reusable agent tooling adopted by other engineers
- Record of improving build/test performance, release reliability, and tooling adoption using metrics and developer feedback
- Experience independently leading complex projects and migrations; record of setting technical direction and driving adoption across teams
- Preferred: Building and operating testing infrastructure in a microservices environment
- Preferred: Distributing release artifacts to customer registries or restricted environments, including offline packaging
