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Pacific Northwest National Laboratory · 2 weeks ago

Lead Backend Software Engineer IV (Seattle, WA)

Seattle, WA

Full-time

Onsite

Senior Level, Lead/Staff

$161K/yr - $255K/yr

3+ years exp

Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on scientific research and national security. They are seeking a Lead Software Engineer to architect and lead the development of mission-critical AI systems, driving technical strategy and mentoring engineering teams in a fast-paced environment.

Biomass EnergyEnergyGovernmentProduct ResearchSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design 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

Design 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

Qualification

PythonCloud architectureAI/ML EngineeringDistributed systemsMicroservices architectureC#/.NETKubernetes orchestrationData engineeringAgile methodologiesMentoringTechnical leadershipCollaboration

Required

PhD and 3 years of relevant experience -OR-

MS/MA or higher and 5 years of relevant experience -OR-

BS/BA and 7 years of relevant experience -OR-

AA and 16 years of relevant experience -OR-

HS/GED and 18 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

Preferred

Degree in computer science, software engineering, or related field

Expert level experience in designing or deploying petabyte size large-scale and high-performance ETL pipelines and analytics

Fluency in Python and proficiency in at least one other language (C#/.NET, C++, Go)

Demonstrated experience leading teams of software engineers and translating complex technical problems into clear, structured, and actionable units of work for execution

Experience mentoring 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 architecture and 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, and demonstrated ability to initiate substantial new R&D efforts and collaborations

Possession of an active Federal Q Clearance