divergent · Torrance, California, United States
Skills: Python, AWS, Docker, CI/CD
Divergent is building the new industrial age. Every day, our teams design, manufacture, and assemble advanced systems for some of the world’s most demanding industries. Our integrated engineering and manufacturing platform transforms complex designs into production-ready solutions, helping customers move faster, build smarter, and deliver critical systems when they matter most. Divergent is a qualified Tier 1 supplier to global automotive OEMs and supports leading U.S. aerospace and defense companies. Join us and help push the boundaries of what can be built. Purpose We are seeking a DevSecOps Engineer to embed security into every stage of the software delivery lifecycle, from the first commit through production operation. Divergent Technologies Inc. builds and operates a digital manufacturing platform in which software, hardware, and physical production are tightly coupled, which means the pipelines that ship our code warrant the same protection as the code itself. In this role you will own the automation that makes secure delivery the default rather than the exception: hardened CI/CD pipelines, policy-as-code guardrails, reproducibly provisioned cloud infrastructure, and vulnerability findings that reach the responsible engineer with enough context to act on. You will partner with software, platform, and IT teams to reduce risk without slowing delivery, treating security controls as engineering problems to be solved with tooling rather than checklists to be enforced after the fact. The Role Design, build, and maintain CI/CD pipelines with automated security gates — static analysis, software composition analysis, secrets detection, container image scanning, and infrastructure-as-code policy checks — that fail fast and produce actionable findings. Provision and manage cloud infrastructure as code across Azure and AWS environments and enforce configuration standards through policy-as-code rather than manual review. Harden container and Kubernetes workloads, including…
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