DevOps/Platform Engineer
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of NSD, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
We are seeking a DevOps/Platform Engineer to join PNNL's AI engineering team, contributing to innovative systems spanning agentic AI platforms, large-scale data orchestration, and real-time intelligence processing. This is an excellent opportunity for early to mid-career developers to apply their software engineering skills to meaningful national security challenges while growing their expertise in AI/ML systems, cloud infrastructure, and distributed computing.
You're a motivated software engineer with foundational experience in building production systems and a strong desire to grow your expertise in AI/ML and scalable infrastructure. You're comfortable working both independently on defined tasks and collaboratively on larger initiatives. You're eager to learn new technologies, apply software engineering best practices, and contribute to mission-critical systems while building your professional network and technical reputation.
AI Systems & Platforms
- Develop components of agentic AI systems and LLM-based applications
- Implement features using frameworks like LangChain, LlamaIndex, or similar tools
- Build and maintain ML pipelines, data preprocessing workflows, and model deployment infrastructure
- Create utilities and tools that support AI/ML development and operations
- Work with multi-modal data including text, structured data, and sensor information
Data Pipelines & Infrastructure
- Build data pipelines for large-scale ETL, transformation, and analytics workflows
- Implement streaming data processors and event-driven components
- Develop microservices and APIs within distributed architectures handling high-throughput workloads
- Deploy containerized applications using Docker and Kubernetes
- Contribute to CI/CD pipelines and automated testing frameworks
Mission-Critical Production Systems
- Write clean, well-tested code following established best practices
- Implement monitoring, logging, and observability for applications
- Build developer tooling and documentation to support team productivity
- Contribute to system performance optimization and debugging efforts
- Support deployments in cloud and secure environments
Technical Leadership
- Work on small tasks and project elements, progressing to independent ownership
- Collaborate with cross-functional teams including data scientists, researchers, and senior engineers
- Participate in code reviews, design discussions, and technical planning
- Mentor junior staff and students when opportunities arise
- Contribute technical content to proposals and project documentation
- Present your work at team meetings and technical forums
This position is based in Richland, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.
Minimum Qualifications:
- PhD -OR-
- MS/MA -OR-
- BS/BA and 2 years of relevant experience
Preferred Qualifications:
- Degree in computer science, software engineering, or related technical field.
- Exposure to infrastructure automation, deployment pipelines, or cloud platform management through coursework, personal projects, labs, or internship experience.
- Basic scripting or programming experience with Python, Bash, or similar languages demonstrated through academic projects or personal automation initiatives.
- Experience with containerization (Docker) through personal projects, coursework, or labs with interest in learning Kubernetes.
- Strong problem-solving abilities demonstrated through technical challenges, troubleshooting exercises, or course projects.
- Active engagement in learning cloud technologies, automation, MLOps, or modern infrastructure practices (e.g., coursework, certifications, or technical projects)
- Participation in relevant communities, online courses (Coursera, Udemy, A Cloud Guru), or technical forums demonstrating commitment to continuous learning.
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.
Requirements:
- 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.
This position is a Testing Designated Position (TDP). The candidate selected for this position will be 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.
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington Stateโthe dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire