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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer III - **Company:** Pacific Northwest National Laboratory - **Location:** Richland, WA, United States - **Experience:** Expert - **Salary:** $133,100.0 - **Contract:** Temporary contract - **Skills:** Adobe Analytics, Clean Code Principles, Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cloud Engineering, Cloud Storage, Computer Programming, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Structures, Data Systems, Cursor, Software Design Patterns, DevOps, Programming Tools, Distributed Computing Environment, Github, Python (Programming Language), Machine Learning, NoSQL, Object-Oriented Software Development, Microsoft Copilot, Software Engineering, Software Systems, SQL Databases, Data Streaming, Rust (Programming Language), Data Logging, Large Language Models, Apache Spark, Llamaindex, Agentic-AI, Git, Containerization, Kubernetes, Information Technology, Apache Flink, Data Analytics, Apache Kafka, Graphql, Machine Learning Operations, Claude, Api Design, Data Pipelines, Docker, Golang, Microservices - **Published:** November 6, 2026 - **Apply:** https://dejobs.org/x/x/BAEB901AB03B47D4BAE31867E2E21F4C/job/ ## About the Role An accomplished engineer with strong foundations in scalable system design, SI/ML development, and production software. You're ready to lead complex system components, mentor junior engineers, and turn technical requirements into working solutions., * Engineering: Strong Python plus one other language (.NET/C#, Go, C++, Rust); solid CS fundamentals (object-oriented design, design patterns, data structures, algorithms, and clean code practices), Git, testing (TDD), CI/CD, and SI-assisted development tools (Copilot, Claude, Cursor) * SI/ML: Understanding of the ML lifecycle, model serving, and production integration via APIs * Cloud Native: Hands-on experience with AWS/Azure/GCP, Docker/Kubernetes, event-driven & microservice architectures, API design (REST, GraphQL, gRPC), and SQL/NoSQL databases * Data Engineering: ETL/ELT pipelines, distributed processing (Spark, Kafka, Flink, Ray), cloud storage, and data modeling at scale * Collaboration: Strong communication and engagement with cross-functional teams, Agile experience, mentorship, and pragmatic delivery, * 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 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 and proficiency in at least one other language (Java, C#/.NET, C++, Go, Rust) * Ability to contribute to technical direction and independently structure complex problems into actionable work, in collaboration with senior engineers and cross-functional teams * Experience designing or implementing components of large-scale ETL pipelines and analytics systems (petabyte-scale experience valued) * Experience contributing to Cloud-native system design: API and microservice architecture, DevOps, containerization and orchestration (Docker/Kubernetes), infrastructure as code, and full-stack observability (logging, metrics, tracing) * Active technical community engagement demonstrated through meaningful open-source contributions, maintained GitHub repositories, technical blog posts or presentations, conference participation, mentoring activities, or self-initiated projects exploring emerging technologies that showcase continuous learning and passion for the engineering craft, 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. ## Description We are seeking a Senior Software Engineer to join PNNL's advanced SI engineering team and help build next-generation systems across agentic SI platforms, large-scale data orchestration, and real-time intelligence processing. You'll design scalable, mission-critical solutions while mentoring others and shaping technical direction., * SI Systems: Agentic SI, LLM orchestration (LangChain, LlamaIndex), MLOps pipelines, and multi-modal data integration * Scalable Infrastructure: Microservices, real-time streaming, large scale ETL pipelines, and Kubernetes deployments * Production Systems: Monitoring/observability, secure & edge deployments, geospatial and time-series processing * Technical Leadership: Lead project components, mentor staff, drive design decisions, and support proposals, * Detect and prevent smuggling of drugs and contraband at ports of entry [Link (https://www.pnnl.gov/sites/default/files/media/file/NII%20Capabilities%20072621_0.pdf) ] * Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link (https://www.pnnl.gov/sites/default/files/media/file/PNNL_Treasury_AWS%20collab%201121.pdf) ] * Applying big data solutions to national security problems [Link (https://www.pnnl.gov/news-media/science-front-line-ralph-perko) ] * Applying image classification for nuclear forensics analysis [Link (https://www.pnnl.gov/sites/default/files/media/file/NSD_1259_FLYER_SharkzorHighlights_FINAL_0.pdf) ] * Develop capabilities for scalable geospatial analytics [Link (https://www.pnnl.gov/sites/default/files/media/file/GeoBOSS%20Open-Source%20Geospatial%20Analytics%20at%20Scale.pdf) ] Read more about the AI & Data Analytics division: https://www.pnnl.gov/ai-and-data-analytics This position is based in Richland, WA or Seattle, WA and requires onsite presence Monday through Thursday, with Friday as needed based on business needs.