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) •