Staff Software Engineer

About the Role We’re seeking a Staff Software Engineer to lead technical direction and architectural decisions for a secure, AI-enabled data platform. This role blends hands‑on software engineering with MLOps and data infrastructure expertise. You’ll be responsible for designing, building, and supporting mission‑critical services across the full data stack. The ideal candidate brings deep experience delivering secure, large‑scale production systems and thrives in high‑ownership, ambiguous environments. Familiarity with national security or regulated environments is a strong plus, as understanding complex stakeholder requirements will directly inform the product roadmap. This is an AI‑native engineering team. Engineers are expected to leverage LLMs and AI tooling as a core part of their daily workflow—from system design and coding to debugging and deployment. What You’ll Do Own architectural decisions and technical strategy for a secure, production‑grade platform Design and scale systems that handle sensitive, large‑scale data Contribute hands‑on across backend services, infrastructure, and ML‑enabled components Shape engineering culture and best practices in a high‑security, high‑impact environment Integrate AI tools and LLM‑driven workflows into development and operational processes Collaborate with cross‑functional stakeholders to translate complex requirements into scalable solutions What We’re Looking For Technical Leadership 12–20+ years of engineering experience, including time operating at Staff level or above Proven track record owning architecture for large‑scale, mission‑critical production systems Systems thinker with strong judgment around trade‑offs and long‑term scalability Clear communicator who can engage both technical and non‑technical stakeholders Comfortable operating with ambiguity and full ownership Domain & Technical Expertise Experience handling and securing large‑scale production data Strong proficiency with AWS (e.g., S3, Lambda, RDS) Experience with ML development in Python and/or JavaScript Interest in solving complex data‑sharing challenges with modern AI approaches Familiarity with regulated or high‑security environments is a plus AI-Augmented Engineering Daily use of AI coding tools (e.g., Claude Code, Cursor, Copilot) Experience leveraging LLMs across architecture design, debugging, and development workflows Strong understanding of AI limitations and when to verify outputs Familiarity with LLM integration frameworks (e.g., MCP or similar) #J-18808-Ljbffr