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# SOFTWARE ENGINEER (PLATFORM TEAM)

- **Company:** Space Exploration Technologies Corp.
- **Location:** Bastrop, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), LTE (Telecommunication), Artificial Intelligence, Data Analysis, Automation of Tests, Cloud Computing, Code Review, Cyber Security, Computer Programming, Computer Engineering, Continuous Delivery, Continuous Integration, Data Systems, Distributed Systems, Python (Programming Language), Software Engineering, Systems Integration, TypeScript, Rust (Programming Language), Data Logging, Scripting, Backend, Kubernetes, Information Technology, Machine Learning Operations, Docker, Golang
- **Published:** September 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-software-engineer-platform-team-bastrop-tx--f55ba289-7eee-4467-a62b-a3c153bda7dc

## About the Role

* Bachelor's degree in computer science, computer engineering, or other engineering discipline and 5+ years of professional experience building production software; OR 7+ years of professional experience building production software in lieu of a degree
 * Experience developing and operating production platforms (AI/ML infrastructure, developer platforms, or large-scale backend systems)

PREFERRED SKILLS AND EXPERIENCE:

 * 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 (Go, Java, TypeScript, Rust, etc.)
 * Experience with infrastructure-as-code, CI/CD, and building highly reliable distributed systems
 * Passion for AI risk mitigation, developer productivity, and turning complex engineering challenges into simple, scalable AI-powered outcomes

ITAR REQUIREMENTS:

 * To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here., Architectural Design, Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Code Reviews, Computer Engineering, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Conversion, Data Analysis, Distributed Computing, Docker, Documentation, Entrepreneurship, Government Regulations, Java, Large-Scale Systems, Machine Tool, Mentoring, Onboarding, Product Development, Public/Media/Press/Analyst Relations, Python Programming/Scripting Language, Risk Management, Rust Programming Language, Security Architecture, Security Infrastructure, Software Engineering, Technical Leadership, Technical Strategy, Test Automation, United States Citizen

## 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/infrastructure, and providing hands-on support
 * Act as an entrepreneurial force to identify high-value opportunities and deliver solutions that allow users to rapidly convert problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute
 * Develop and scale tools that mitigate business risk, such as advanced AI-powered code review, PR automation, and safety guardrails
 * Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems
 * Collaborate with and influence cross-functional stakeholders, including ML researchers, security, and operations teams


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