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Ai Developer Operations Engineer Jobs in Beaverton, OR

Fresh Consulting

Senior DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

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 ...

Fresh Consulting

Sr. DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

Position Overview We're seeking an experienced senior development operations (DevOps) engineer to ... Deep curiosity for software, infrastructure, and applied AI -- particularly using LLMs as ...

Eclypsium

Sr. DevOps Engineer

Portland, OR · On-site

$137K - $177K/yr

Senior DevOps Engineer We are looking for an experienced Senior DevOps Engineer to join our team. The ideal candidate will be able to work in a fast paced environment, operate gracefully under stress ...

Eclypsium, Inc.

Sr. DevOps Engineer

Portland, OR · On-site

$137K - $177K/yr

Senior DevOps Engineer We are looking for an experienced Senior DevOps Engineer to join our team. The ideal candidate will be able to work in a fast paced environment, operate gracefully under stress ...

Eclypsium

Sr. DevOps Engineer

Portland, OR · On-site +1

$137K - $177K/yr

Senior DevOps Engineer We are looking for an experienced Senior DevOps Engineer to join our team. The ideal candidate will be able to work in a fast paced environment, operate gracefully under stress ...

Avani Technology Solutions, Inc.

DevOps Engineer

Portland, OR · On-site

$55.50 - $76/hr

... DevOps toolkit with technologies and tools such as IBM RTC , Groovy , Ant, Ivy , Git , Jira , Jenkins , Maven, Gradle , Branch Management. • Help development teams define migration strategy and ...

Navtech, Inc.

Sr Devops Engineer

Vancouver, WA · On-site

$136K - $174K/yr

Position: Sr DevOps Engineer Location - Seattle, WA or Vancouver, WA - Hybrid 3 Days Onsite/Week Duration: 12+ Months Contract Client environment: The Enterprise Engineering -Secure Delivery Platform ...

Smarsh

Linux DevOps Engineer

Portland, OR

The Smarsh DevOps team is seeking a Linux Engineer to work closely with the development team to ensure high availability for our applications. We are looking for a Linux guru who can jump in and lead ...

Smarsh

Linux DevOps Engineer

Portland, OR · On-site

The Smarsh DevOps team is seeking a Linux Engineer to work closely with the development team to ensure high availability for our applications. We are looking for a Linux guru who can jump in and lead ...

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All JobsAi Developer Operations Engineer JobsAi Developer Operations Engineer Jobs in Beaverton, OR

Ai Developer Operations Engineer information

See Beaverton, OR salary details

$37.5K

$88.5K

$140.5K

How much do ai developer operations engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai developer operations engineer in Beaverton, OR is $88,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $97,800.00 per year, depending on experience, location, and employer.

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

Ai Developer Operations Engineer jobs near you

Senior DevOps Engineer

Portland, OR • On-site

Fresh Consulting
Business Management Consulting • 201 - 500 employees
Learn more about Fresh Consultingexternal

$75 - $85/hr

Other

Posted 5 days ago

Job description

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.

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