Sr. Software Engineer (Platform Team)

the company was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today the company is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

SR. SOFTWARE ENGINEER (PLATFORM TEAM)

The Platform Team builds the foundational tooling and security infrastructure that empowers every team at the company to harness AI effectively. This team creates secure, scalable gateways and proxy systems that allow engineers and operators across the company to write code faster, perform advanced data analysis, connect AI to their daily tools and problems, and turn ideas into deployed solutions with confidence. By onboarding new frontier models, expanding compute capacity, optimizing proxy efficiency for logging and control, and building shared prompts, skills, and infrastructure, this team unlocks reliable, high-impact AI capabilities across the entire organization. As a Sr. Software Engineer for the company's AI platform, you will be a key technical leader and entrepreneurial builder focused on the leanest and most effective applied use of AI at the company. You will design and scale platforms that convert engineering know-how into tested software, automation, and reliable data stores at company scale while creating risk-mitigation tools such as intelligent code review and PR assistants. Current systems are built with Docker containers acting as secure gateways and proxies that integrate with any cloud compute provider and multiple frontier model providers. Your work will directly accelerate the company production and development by enabling every team to move faster with trustworthy AI.

RESPONSIBILITIES

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 the company 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

BASIC QUALIFICATIONS

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) #J-18808-Ljbffr United States Digital Space LLC