Senior DevOps Engineer at Fresh Consulting – Portland | Jobyssey

Fresh has partnered with an AI Manufacturing software company, 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 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

What We're Looking For

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

Required Technical Skills

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

Nice to Have

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)

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Range $75/hr – $85/hr.

Senior DevOps Engineer

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