Senior Backend Software Engineer III (Seattle, WA)

Pacific Northwest National Laboratory•Seattle, WA

3h•Onsite

About The Position

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. We are seeking a mid-career Software Engineer to join PNNL in advancing groundbreaking technologies that support national security initiatives. PNNL is leading the charge in advanced AI engineering, driving innovation in areas such as real-time multi-intelligence processing, petabyte-scale data orchestration, and agentic AI system architectures. In this position, you will leverage your experience in scalable system design, AI/ML engineering, and data architecture to develop revolutionary capabilities for processing multi-modal intelligence data with unprecedented speed and scale. You’ll work in a fast-paced, mission-driven environment that combines startup-style agility with the rigor required for high-impact national security applications. As a Senior Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you will architect and lead the development of mission-critical AI systems, design systems at scale in support of mission objectives, and drive technical strategy for some of the nation's most sophisticated intelligence and security applications. You'll take ownership from concept to deployment, mentor and develop staff, collaborate with research scientists and domain experts, and translate cutting-edge research into production-ready systems deployed in highly secure environments—all while maintaining the entrepreneurial mindset that turns breakthrough research into operational reality. What You'll Architect & Build: Software Platforms – Develop scalable microservices architectures that coordinate across multiple domains, build robust API gateways for classified environments, architect service mesh implementations that handle the nation's most sensitive traffic High-Performance Processing Systems – Lead distributed system design processing data from hundreds of sources simultaneously, architect real-time streaming platforms that handle terabytes per hour, design event-driven architectures that scale horizontally across data centers Mission-Critical Infrastructure – Develop container orchestration platforms that span multiple security domains, architect CI/CD pipelines processing millions of deployments, build monitoring and observability systems across secure enclaves Technical Leadership with Impact – Mentor engineering teams building systems that push the boundaries of software architecture, drive technical decisions that influence platform strategy, lead cross-functional initiatives spanning multiple development teams

Requirements

PhD and 1 year of relevant experience -OR- MS/MA or higher and 3 years of relevant experience -OR- BS/BA and 5 years of relevant experience -OR AA and 14 years of relevant experience -OR- HS/GED and 16 years of relevant experience
Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted
Fluency in Python, with proficiency in C#/.Net, Go, JavaScript/TypeScript, [Java, C/C++, Rust]
AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
Data fusion, GEOINT processing, signals analysis, threat correlation
Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
Geospatial processing frameworks, time-series databases, distributed computing, secure enclaves
Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
U.S. Citizenship
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.
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).
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.

Nice To Haves

Degree in computer science, software engineering, or related field
Experience in building and deploying petabyte size large-scale and high-performance ETL pipelines and analytics
Demonstrated fluency in Python and proficiency in at least one other language (C#/.NET, C++, Go)
Demonstrated experience overseeing a small team of software engineers and translating complex technical problems into clear, structured, and actionable units of work for execution as well as mentor junior staff
Strong understanding of software engineering and data management best practices
Strong experience in cloud architecture (AWS, Azure, GCP) and implementation
Possession of professional certification in cloud technologies or database certifications
Familiarity with machine learning algorithms with hands-on experience in machine learning pipeline development
Experience engaging with funding agencies such as the Department of Energy, Department of Homeland Security, Department of Defense, or National Nuclear Security Administration
Possession of an active Federal Q Clearance

Responsibilities

Architect and lead the development of mission-critical AI systems
Design systems at scale in support of mission objectives
Drive technical strategy for some of the nation's most sophisticated intelligence and security applications
Take ownership from concept to deployment
Mentor and develop staff
Collaborate with research scientists and domain experts
Translate cutting-edge research into production-ready systems deployed in highly secure environments
Maintain the entrepreneurial mindset that turns breakthrough research into operational reality
Develop scalable microservices architectures that coordinate across multiple domains
Build robust API gateways for classified environments
Architect service mesh implementations that handle the nation's most sensitive traffic
Lead distributed system design processing data from hundreds of sources simultaneously
Architect real-time streaming platforms that handle terabytes per hour
Design event-driven architectures that scale horizontally across data centers
Develop container orchestration platforms that span multiple security domains
Architect CI/CD pipelines processing millions of deployments
Build monitoring and observability systems across secure enclaves
Mentor engineering teams building systems that push the boundaries of software architecture
Drive technical decisions that influence platform strategy
Lead cross-functional initiatives spanning multiple development teams

Benefits

Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support.
Employees are automatically enrolled in our company-funded pension plan and may enroll in our 401 (k) savings plan with company match.
Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

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