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Sr. Software Engineer (Platform Team)

1 week, 6 days ago
United States
Full-time
Senior
Software Engineer
Software Development
CI/CD Docker Go Java Kubernetes MLOps Python Rust TypeScript
Apply Now
SpaceX

SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the aim of revolutionizing space technology and enabling human life on other planets.

Aerospace & Defense
10K-50K
Founded 2002
View All Jobs 258

Description

  • Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide.
  • Own complex platform initiatives end-to-end, including technical strategy, implementation, testing, deployment, and long-term evolution.
  • Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control.
  • Champion adoption across SpaceX by mentoring engineers, communicating value, building shared products, prompts, skills, and infrastructure, and providing hands-on support.
  • Identify high-value opportunities and deliver solutions that help users convert problems and ideas into tested software, deployed applications, and trained models.
  • Develop and scale tools that mitigate business risk, including AI-powered code review, PR automation, and safety guardrails.
  • Define best practices for lean, effective, and secure applied AI that turns engineering expertise into automation and reliable data systems.
  • Collaborate with and influence cross-functional stakeholders, including ML researchers, security, and operations teams.

Requirements

  • Bachelor’s degree in computer science, computer engineering, or another engineering discipline plus 5+ years of professional experience building production software, or 7+ years of production software experience in lieu of a degree.
  • Experience developing and operating production platforms, such as AI/ML infrastructure, developer platforms, or large-scale backend systems.
  • Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment.
  • Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers.
  • Strong background in model onboarding, compute orchestration, observability, and infrastructure for high-volume AI usage.
  • Demonstrated ability to enable and mentor others through tools, documentation, training, and direct partnership.
  • Entrepreneurial track record of identifying opportunities and delivering outsized impact.
  • Proficiency in Python and strong experience with additional languages such as Go, Java, TypeScript, or Rust.
  • Experience with infrastructure-as-code, CI/CD, and highly reliable distributed systems.
  • Passion for AI risk mitigation, developer productivity, and turning complex engineering challenges into simple, scalable AI-powered outcomes.
  • Must meet ITAR eligibility requirements as a U.S. citizen or national, lawful permanent resident, refugee, asylee, or otherwise eligible for required U.S. Department of State authorizations.

Interested in this position?

Apply directly on the company website

Apply Now

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