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.

SOFTWARE ENGINEER (PLATFORM TEAM)

The Platform Team is responsible for building 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 products, prompts, skills, and infrastructure, this team unlocks reliable, high-impact AI capabilities across the entire organization. As a Software Engineer for the company's AI platform, you will act as an entrepreneurial builder focused on the leanest and most effective applied use of AI at the company. You will design platforms that convert engineering know-how into tested software, automation, and reliable data stores at 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

Design, build, and operate secure, scalable AI platforms and proxy systems used by teams throughout the company Own the full lifecycle of platform development including design, testing, deployment, and continuous improvement Drive adoption by communicating value, directly supporting engineers, and building shared prompts, skills, and infrastructure that accelerate peers Act entrepreneurially to identify high-value opportunities and create solutions that allow users to rapidly turn problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute Collaborate closely with stakeholders to deeply understand needs and deliver platforms that connect AI to real tools and workflows Onboard new models, expand compute resources, and optimize efficiency of proxy systems for logging, control, and security Develop tools that mitigate business risk, such as AI-powered code review and PR automation Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems across the company

BASIC QUALIFICATIONS

Bachelor’s degree in computer science, computer engineering, or other engineering discipline; OR 2+ years of professional experience building production software in lieu of a degree Experience developing production software systems (platform, backend, or full stack) #J-18808-Ljbffr United States Digital Space LLC