Product Operations Engineer, Government Applications Special Programs

Role Overview

This team focuses on operating and deploying AI capabilities for U.S. federal agencies. You’ll work closely with product, research, infrastructure, and legal/governance teams to make AI and future models maximally useful for missions while upholding SpaceX’s standards, transparency, and ethical standards.

What You Will Do

You will own the full end-to-end cycle of service reliability—from responding to outages to improving codebases and building lasting solutions. You will tackle critical issues for key government customers, introduce observability into complex systems, address technical debt in essential codebases, and inform strategic investments in core products.

Why It Might Be a Fit

We are looking for engineers who enjoy deep-dive troubleshooting, feel strong ownership over the problems they encounter, and recognize the urgency of customer-facing outages.

Requirements

• Bachelor’s degree in computer science, engineering or another STEM discipline; OR 2+ years of professional experience in software development in lieu of a degree
• 1+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency, other languages a plus)
• Experience working with large language models, generative AI, or agentic systems—either in research, production, or applied engineering
• 1+ years of experience working on enterprise applications that serve >10,000 users distributed across geographies and time zones
• Familiarity with government or public sector technology environments (federal civilian agencies, state/local gov, or regulated industries like healthcare, finance, or infrastructure)
• Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions
• Demonstrated ability to write clean, maintainable, high-performance code under tight timelines
• Exceptional problem-solving skills and intellectual curiosity—you thrive on hard, ambiguous challenges.
• Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely.
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), API orchestration

Benefits

• Long-term incentives in the form of company stock or long-term cash awards
• Discretionary bonuses
• Employee Stock Purchase Plan
• Comprehensive medical, vision, and dental coverage
• 401(k) retirement plan
• Short and long-term disability insurance
• Life insurance
• Paid parental leave
• Paid vacation
• Paid holidays
• Paid sick leave

Tagged as: Python