Hiring: Lead DevOps/Platform Engineer IV Company: Pacific Northwest National Laboratory Location: Seattle, WA Job Posted Time: 2026-09-03 10:29:23 Employment Type: On-site Target Skills & Keywords : C#, CI/CD, Data Pipeline, LLM, Large Language Model, MLOps, Machine Learning, Microservices, Python, Rust About the job Experience: •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. Required Skills: •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 •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 AI capabilities. •Lead architectural discussions, set direction for code reviews and engineering best practices and drive continuous improvement throughout the team. Qualifications: •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. •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. Compensation: •Competitive benefits and rewards package •At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!