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Salary
≈ $141k – $275k per year (Estimated)
Location
In office (Bellevue)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
Glint Tech Solutions is a women-owned IT staffing and recruiting firm that sources contract and direct-hire talent for enterprise clients, alongside an AI hiring product it markets as Glinto AI. Its postings cover client projects across the United States and Canada, from New York, Sunnyvale, Santa Clara and Reston to Toronto, and some defense roles require an active DoD Secret clearance. Open positions are mostly placements at client companies, including software and DevOps engineers, embedded and field application engineers, product managers, data center cooling sales staff and regulatory reporting analysts.

DevOps Engineer

Location: 100% Onsite - Bellevue, WA

Company Overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.

Project Description

Our client, a leading advanced nuclear energy organization, is seeking a DevOps Engineer to support the development and operation of software used for design, monitoring, and analysis of a first-of-a-kind Natrium advanced reactor. Reporting to the Engineering Analysis Automation Software (EAAS) team, the engineer will provide elevated technical leadership across software development, platform architecture, scientific computing, DevOps, and workflow automation. The ideal candidate has a proven history of driving complex engineering efforts in a regulated environment while consistently delivering high-quality, reliable results.

Key Responsibilities

  • Provide technical ownership by influencing software architecture and development approaches supporting long-term reliability and sustainability
  • Design and implement new features and refactors with a focus on clarity, maintainability, and performance
  • Ensure consistent architecture, configuration, testing, and documentation practices that satisfy regulated-environment requirements
  • Create, maintain, and improve multi-repository CI/CD pipelines, testing strategies, and containerized workflows providing consistent, traceable environments
  • Own and improve recurring release processes by streamlining workflows, reinforcing regression test infrastructure, and minimizing manual steps
  • Collaborate with IT, engineering analysts, and software developers to deliver robust tools, automated workflows, and sustainable practices meeting SQA requirements
  • Provide onboarding, mentoring, and hands-on technical leadership across a complex scientific software ecosystem
  • Reduce technical debt by championing maintainable design patterns, modernization opportunities, and consistent development standards
  • Take on additional systems, services, and workflows as EAAS technical scope evolves

Mandatory Skills

  • 10+ years in software development plus a B.S. in Computer Science, Nuclear Engineering, Physics, or related discipline - or advanced degree with equivalent experience
  • Experience developing scientific software that schedules HPC workloads (e.g., via SLURM)
  • Strong background in CI/CD, automated testing, and modern development practices
  • Proficiency with containerization technologies including Docker and Apptainer
  • Proficiency with Python and modern Git-based development workflows
  • Experience developing in SQA-regulated environments (e.g., NQA-1)
  • Strong communication, analytical thinking, and cross-functional collaboration skills
  • Demonstrated ability to mentor contributors and guide teams through complex processes

Nice-to-Have Skills

  • Experience supporting engineering, scientific, or nuclear software
  • Experience with automated documentation workflows
  • Experience supporting multiple teams or shared platforms - frameworks, toolchains, or multi-repository environments
  • Familiarity with compiled languages such as Fortran, C/C++, or Rust
  • Understanding of numerical methods, modeling tools, or reactor analysis workflows
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