Senior DevOps​/Platform Engineer III

Overview

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.

Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

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.

Join PNNL’s AI engineering team and help architect the next generation of intelligent systems powering national security missions. As a Senior Dev Ops/Platform Engineer , you will design and build 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 experienced engineers who are ready to apply deep expertise in AI/ML infrastructure, distributed systems, and production software engineering while leading technical efforts, mentoring teammates, and helping shape the future of our engineering capabilities.

• 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 AI capabilities.
• Lead architectural discussions, set direction for code reviews and engineering best practices and drive continuous improvement throughout the team.

• Detect and prevent smuggling of drugs and contraband at ports of entry [Link (https://(Use the "Apply for this Job" box below). Capabilities ) ]
• Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link (https:// collab ) ]
• Applying big data solutions to national security problems [Link (https://) ]
• Applying image classification for nuclear forensics analysis [Link (https://) ]
• Develop capabilities for scalable geospatial analytics [Link (https:// Open-Source Geospatial Analytics ) ]

Read more about AI and Data Analytics division: https://-analytics

Minimum Qualifications:

• PhD and 1 year of Software Engineering experience
  -OR-
• MS/MA and 3 years of Software Engineering experience
  -OR-
• BS/BA and 5 years of Software Engineering experience
  -OR
• AA and 14 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 16 years of Software Engineering…