Senior DevOps Engineer

Position Overview We're seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at edge sites across customer manufacturing floors. This is a full-time position working directly with our engineering team to harden our release process, drive deployment automation, and pioneer LLM-driven test generation and validation. What You'll Do Own and evolve the end-to-end release pipeline — branching strategy, build orchestration, artifact promotion, and rollback — across our Bazel monorepo and Python deployable unitsDesign and maintain Ansible-driven fleet automation for heterogeneous Linux edge nodes (Ubuntu LTS, NVIDIA driver stacks, Docker with NVIDIA runtime)Manage all update tooling, currently written in GolangBuild LLM-powered automated testing systems: test generation from specs, flake triage, log/failure analysis, regression diffing, and release-note synthesis from commit and ticket historyHarden CI/CD for offline and bandwidth-constrained deployment targets (airgap wheel distribution, signed artifacts, deterministic builds)Drive observability for releases — deployment telemetry, version drift detection, and post-deploy health validation across the fleetMentor engineers on release hygiene, reproducible builds, and infrastructure-as-code practices What We're Looking For 10+ years of professional experience in release engineering, DevOps, or SRE roles shipping production Linux systemsDeep curiosity for software, infrastructure, and applied AI — particularly using LLMs as production engineering tools, not just chat assistantsExpert-level Python (3.8+) with a strong grasp of packaging, dependency resolution, and PEP 440 versioning disciplineDemonstrated ownership of Linux fleets at scale — kernel, systemd, networking, package managementExcellence in technical communication, runbook authorship, and post-incident documentationStrong systems thinking — comfortable reasoning about failure modes across hardware, OS, container, and application layers Required Technical Skills Expert proficiency with Ansible (roles, dynamic inventory, idempotent design); working knowledge of TerraformExpert proficiency with Docker, including creation and lifecycle management of containers, image hardening, registry management and installing & configuring the NVIDIA container runtimeProduction experience with Linux administration: systemd, networking (VLANs, DHCP, DNS), kernel/driver management (especially NVIDIA/DKMS), package and APT internalsStrong Python skills focused on tooling, automation, packaging (wheels, pip, private indexes), and subprocess/CI integrationProficiency with Git workflows, branching strategies, and modern CI/CD systems (GitHub Actions, GitLab CI, or equivalent)Experience designing and operating automated test infrastructure — unit, integration, hardware-in-the-loop, and end-to-endPractical experience using LLMs (Anthropic, OpenAI, or local) as part of engineering workflows — test generation, code review augmentation, log analysis, or agentic tooling Nice to Have Bazel or similar monorepo build systemsEdge or embedded deployment experienceTailscale, WireGuard, or zero-trust networking in productiongRPC/protobuf service ecosystemsVault, PKI, or secrets management at fleet scaleBackground in regulated or compliance-driven environments (CMMC, ISO 27001, SOC 2) Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Range $75/hr – $85/hr. Bottom of Form