Eleos Health is hiring a Senior Build Engineer to work close to the metal, owning and improving the core systems customers rely on daily. This hands-on, operational role focuses on Docker-based build workflows, automation, and triaging issues, with significant opportunity to drive improvements and evolve tooling as the company scales.

What You'll Do

Complete daily builds and publish an updated catalog of all curated container images.
Maintain, monitor, and improve the build environment, including Docker builds, image tools, and supporting scripts and automation.
Triage and debug build failures, container-related issues, and image problems across engineering teams.
Write and maintain automation scripts and internal tooling in Bash and Python.
Collaborate with developers to diagnose issues, improve build workflows, and ensure smooth day-to-day operations.
Contribute to scaling build infrastructure to meet growing engineering needs.
Document processes and maintain consistency in routine operational tasks.
Identify opportunities to automate repetitive work and improve reliability.

What We're Looking For

7+ years in build engineering, DevOps, infrastructure engineering, or similar roles.
US citizenship required pursuant to applicable federal contracts and security-clearance requirements.
Strong Linux experience and command-line fluency.
Solid Python and Bash scripting abilities.
Proficiency with Docker, container tooling, and debugging container build issues.
Familiarity with troubleshooting distributed environments, remote systems, and scaling behaviors.
Basic Kubernetes understanding (enough to triage image/deployment issues).
Experience with Git-based workflows (Bitbucket, GitHub, or GitLab).
Experience maintaining or customizing Jenkins pipelines.
Excellent communication skills and ability to collaborate with engineering teams.
Process-oriented mindset and comfort with routine operational responsibilities.
Demonstrated ability to take ownership and steadily improve systems over time.

Nice to Have

Exposure to AWS or Azure.
Familiarity with container scanning tools, observability tools, or build optimization.
Experience in early-stage startups or dynamic engineering environments.
Background with CI/CD optimization and pipeline performance tuning.
Experience with infrastructure as code (Terraform, Ansible).