Senior DevOps/Platform Engineer III - Richland, WA

Job summary

PNNL is seeking a Senior DevOps/Platform Engineer to contribute to advanced AI engineering initiatives, focusing on next-generation systems like agentic AI platforms, large-scale data orchestration, and real-time intelligence processing. This role involves applying expertise in scalable system design and AI/ML engineering to build mission-critical capabilities, while also developing technical leadership and contributing to the engineering community.

Benefits

Qualifications

• PhD and 1 year of Software Engineering experience
• MS/MA and 3 years of Software Engineering experience
• BS/BA and 5 years of Software Engineering experience
• 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
• HS/GED 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
• Degree in computer science, software engineering, or related field
• Experience contributing to technical direction and independently structuring complex problems into actionable work, in collaboration with senior engineers and cross-functional teams
• Expertise in Python and proficiency in at least one other language (C#/.NET, C++, Go)
• 3-5 years of hands-on DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure Engineering experience
• Contributions to open-source infrastructure projects or active participation in DevOps communities
• Ability to obtain and maintain a federal security clearance
• U.S. Citizenship
• Meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B
• Ability 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)

Responsibilities

• Contribute to next-generation systems spanning agentic AI platforms, large-scale data orchestration, and real-time intelligence processing
• Apply expertise in scalable system design and AI/ML engineering to build mission-critical capabilities
• Develop technical leadership and establish as a key contributor to the engineering community
• Develop and deploy agentic AI systems with reasoning and decision-making capabilities
• Build components of LLM orchestration frameworks using LangChain, LlamaIndex, and emerging platforms
• Contribute to MLOps platforms including experiment tracking, model versioning, and deployment pipelines
• Create developer tooling, utilities, and interfaces for AI-native frameworks
• Integrate multi-modal data sources into cohesive processing pipelines
• Develop microservices within distributed architectures handling high-throughput workloads
• Build components of real-time streaming platforms and event-driven systems
• Implement data pipelines for large-scale ETL, data processing, and analytics
• Deploy containerized applications using Kubernetes and support CI/CD pipelines
• Contribute to systems deployed in secure and edge environments
• Deploy AI systems with appropriate monitoring, logging, and observability
• Ensure code quality, security best practices, and compliance standards
• Build geospatial processing, time-series, and data fusion capabilities
• Support system performance optimization and troubleshooting
• Lead technical components of projects and tasks
• Mentor junior staff and contribute to team knowledge sharing
• Participate in design discussions and contribute to architectural decisions

Skills

Languages

Security clearance

Relocation