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Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Lead DevOps/Platform Engineer 4

Platform EngineeringConfirmed live in the last 24 hours
Full-time$161.3k - $255k /yr

About the Job

Requirements

  • A PhD and 3 years of Software Engineering experience, or an MS/MA and 5 years, or a BS/BA and 7 years, or an AA and 16 years, or an HS/GED and 18 years of Software Engineering experience designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development.
  • Current, hands-on software development experience using Python.
  • A preferred degree in computer science, software engineering, or a related field.
  • Expertise in Python, including active use for the past five years, and proficiency in at least one other language such as Go, C#, or Rust.
  • Expertise leveraging Agentic AI to develop code and build or maintain infrastructure and systems.
  • A track record architecting and operating large-scale infrastructure supporting significant user bases, high-volume transaction systems, petabyte-scale data platforms, or production machine-learning systems serving millions of predictions.
  • Experience building and leading high-performing platform engineering, DevOps, or MLOps teams through hiring, mentoring, technical guidance, and career development.
  • Experience establishing infrastructure practices, platform strategies, MLOps frameworks, and DevOps transformation initiatives on an organizational scale.
  • A background in mission-critical, regulated, or high-security environments such as government, defense, financial services, or healthcare, with understanding of compliance requirements for traditional systems and machine-learning or AI applications.
  • Demonstrated success leading complex, multi-team infrastructure and MLOps initiatives from architecture through production deployment, operational handoff, and continuous improvement.
  • Ability to obtain and maintain a federal security clearance.
  • U.S. citizenship is required.
  • Applicants must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
  • Selected applicants are subject to pre-employment and post-employment random drug testing and must demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the Questionnaire for National Security Positions.
  • Selected candidates are subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
  • Foreign national candidates who have not resided in the U.S. for three consecutive years are ineligible for the PIV credential and must obtain a favorable Local Site Specific Only Federal risk determination to maintain employment; once eligible, they must obtain a PIV credential.
  • New employees must successfully complete the applicable tier of federal background investigation and receive a favorable federal adjudication to obtain the required HSPD-12 Personal Identity Verification credential.
  • Employees must disclose any affiliation with a foreign government of a DOE-designated country of risk and recuse themselves or receive approval from DOE and Battelle before their first day.

Responsibilities

  • Architect and deliver scalable AI platforms, cloud-native infrastructure, and large-scale data orchestration capabilities for advanced machine learning, agentic AI, and real-time intelligence solutions.
  • Build and deploy cloud-native AI platforms, agentic AI applications, and large language model solutions.
  • Develop scalable data pipelines, streaming architectures, application programming interfaces, and microservices to process high-volume, real-time data.
  • Design and maintain containerized infrastructure, continuous integration and continuous delivery pipelines, and automated testing to support reliable software delivery.
  • Drive system performance improvements, observability, security, and operational reliability across production environments.
  • Lead software engineers, data scientists, and researchers to deliver innovative SI capabilities.
  • Lead architectural discussions, set direction for code reviews and engineering best practices, and drive continuous improvement throughout the team.
  • Provide technical leadership across complex systems, guide architectural and engineering decisions, mentor and develop teammates, and help shape the technical direction and future of AI engineering capabilities.

Desired Qualifications

  • Experience building and leading high-performing platform engineering, DevOps, or MLOps teams through hiring, mentoring, technical guidance, and career development.
  • Experience establishing infrastructure practices, platform strategies, MLOps frameworks, and DevOps transformation initiatives on an organizational scale.
  • A background in mission-critical, regulated, or high-security environments such as government, defense, financial services, or healthcare, with understanding of compliance requirements for traditional systems and machine-learning or AI applications.
  • Demonstrated success leading complex, multi-team infrastructure and MLOps initiatives from architecture through production deployment, operational handoff, and continuous improvement.

About the Company

Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Pacific Northwest National Laboratory (PNNL) conducts scientific research in chemistry, Earth sciences, biology, and data science to advance energy resiliency and national security. Its work spans designing and running experiments, developing models and simulations, and analyzing large data sets to generate knowledge and practical tools that help improve energy systems, environmental stewardship, and security. PNNL differentiates itself through its interdisciplinary approach across multiple scientific domains and its role as a government-funded national lab focused on real-world challenges, enabling collaborations with industry, academia, and government partners. Its goal is to produce actionable scientific insights and deployable technologies that strengthen national resilience and energy infrastructure.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Richland, WA
Founded
1965

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