Sr. DevOps Engineer

Location: Portland, OR

• Own and evolve the end-to-end release pipeline — branching strategy, build orchestration, artifact promotion, and rollback — across our Bazel monorepo and Python deployable units

• Design 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 Golang

• Build LLM-powered automated testing systems: test generation from specs, flake triage, log/failure analysis, regression diffing, and release-note synthesis from commit and ticket history

• Harden 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 fleet

• Mentor engineers on release hygiene, reproducible builds, and infrastructure-as-code practices

• 10+ years of professional experience in release engineering, DevOps, or SRE roles shipping production Linux systems

• Deep curiosity for software, infrastructure, and applied AI — particularly using LLMs as production engineering tools, not just chat assistants

• Expert-level Python (3.8+) with a strong grasp of packaging, dependency resolution, and PEP 440 versioning discipline

• Demonstrated ownership of Linux fleets at scale — kernel, systemd, networking, package management

• Excellence in technical communication, runbook authorship, and post-incident documentation

• Strong systems thinking — comfortable reasoning about failure modes across hardware, OS, container, and application layers

• Expert proficiency with Ansible (roles, dynamic inventory, idempotent design); working knowledge of Terraform

• Expert proficiency with Docker, including creation and lifecycle management of containers, image hardening, registry management and installing & configuring the NVIDIA container runtime

• Production experience with Linux administration: systemd, networking (VLANs, DHCP, DNS), kernel/driver management (especially NVIDIA/DKMS), package and APT internals

• Strong Python skills focused on tooling, automation, packaging (wheels, pip, private indexes), and subprocess/CI integration

• Proficiency 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-end

• Practical experience using LLMs (Anthropic, OpenAI, or local) as part of engineering workflows — test generation, code review augmentation, log analysis, or agentic tooling

• Bazel or similar monorepo build systems

• Edge or embedded deployment experience

• Tailscale, WireGuard, or zero-trust networking in production

• gRPC/protobuf service ecosystems

• Vault, PKI, or secrets management at fleet scale

• Background in regulated or compliance-driven environments (CMMC, ISO 27001, SOC 2)