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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead DevOps/Platform Engineer IV - **Company:** Pacific Northwest National Laboratory - **Location:** Richland, WA, United States - **Experience:** Expert - **Salary:** $161,300.0 - **Contract:** Temporary contract - **Skills:** Adobe Analytics, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Big Data, C Sharp (Programming Language), Code Review, Computer Programming, Continuous Integration, DevOps, Python (Programming Language), Software Deployment, Software Engineering, Software Systems, Cloud Platform System, Large Language Models, Deep Learning, Agentic-AI, Event Driven Architecture, Build Management, AI Platforms, Information Technology, Real Time Data, Data Management, Machine Learning Operations, Data Pipelines, Microservices - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467388092&tx=YT606CYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * PhD and 3 years of Software Engineering experience -OR- * MS/MA and 5 years of Software Engineering experience -OR- * BS/BA and 7 years of Software Engineering experience -OR- * AA and 16 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development -OR- * HS/GED and 18 years of Software Engineering experience in 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., * Degree in computer science, software engineering, or related field. * Expertise in Python, including active use for the past five years, and proficiency in at least one other language (Go, C#, Rust). * Expertise in leveraging Agentic AI to develop code and build/maintain infrastructure and systems. * Track record of architecting and operating large-scale infrastructure supporting significant user bases, high-volume transaction systems, petabyte-scale data platforms, or production ML 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. * Background in mission-critical, regulated, or high-security environments (government, defense, financial services, healthcare) with understanding of compliance requirements for both traditional systems and ML/AI applications. * Demonstrated success leading complex, multi-team infrastructure and MLOps initiatives from architecture through production deployment, operational handoff, and continuous improvement. Hazardous Working Conditions/Environment Not applicable. Additional Information This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct., * U.S. Citizenship * Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B. * Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. ## Description Join PNNL's AI engineering team and help lead the development of the next generation of intelligent systems powering national security missions. As a Lead DevOps/Platform Engineer , you will architect and deliver scalable AI platforms, cloud-native infrastructure, and large-scale data orchestration capabilities that enable advanced machine learning, agentic AI, and real-time intelligence solutions. This role is ideal for accomplished engineers who are ready to provide technical leadership across complex systems, guide architectural and engineering decisions, mentor and develop teammates, and help shape the technical direction and future of our AI engineering capabilities. What You'll Build * Build and deploy cloud-native AI platforms, agentic AI applications, and large language model (LLM) solutions. * Develop scalable data pipelines, streaming architectures, APIs, and microservices to process high-volume, real-time data. * Design and maintain containerized infrastructure, CI/CD 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.