Senior Full-Stack Software Engineer

Why LeoLabs?At LeoLabs, we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.We’re not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.LeoLabs is seeking a highly experienced and technically driven Senior Full-Stack Software Engineer to join our cross-functional Insights team. in this senior role, you will contribute to a collaborative, high-impact group of engineers building the software that powers real-time decisions for protecting and managing satellites and other objects in low-earth orbit. As a Senior Engineer on the Insights team, you will design and deliver customer-facing analytics, mission-critical APIs, system integrations, and scalable backend services. You will influence architecture across multiple systems, elevate engineering standards, and guide the team in delivering reliable, secure, and high-performance solutions. The Insights team builds and maintains: Web-based UIs and applications Backend services and business logic Integrations between systems and APIs Deployments to cloud and on-site environments Interfaces with LeoLabs’ data lake We partner closely with radar operations, catalog maintenance, infrastructure and product teamsto build cohesive, powerful platform capabilities. While this role focuses primarily on backend services, leadership and experience across the full stack is highly desirable. What You’ll Do:Lead the design and implementation of scalable, distributed backend services and APIs Drive architecture decisions for major components and cross-team integrations Mentor, guide, and support other engineers through design reviews, pairing, and informal coaching Collaborate with front-end, data, and infrastructure teams to define end-to-end solutions Ensure reliability, observability, security, and performance across production systems Define and improve engineering practices, architecture patterns, CI/CD pipelines, and tooling Own critical services through the full development lifecycle—including operation, monitoring, and on-call support Evaluate and integrate new technologies and approaches to improve robustness and developer experience Work directly with product and cross-functional partners to influence technical direction and roadmap planning Qualifications:B.S. in Computer Science, Software Engineering, or equivalent experience 7+ years of professional software engineering experience, with significant time building cloud-based systems at scale Demonstrated expertise designing, building, deploying, and operating distributed backend services Deep proficiency in Python (required) with production experience in at least one additional language (Go, C++, or similar) Strong understanding of architecture patterns, service boundaries, message-driven workflows, and API design Experience with cloud environments (AWS/GCP/Azure) and containerized deployments Expertise with relational databases (Postgres/MySQL) and message brokers (Kafka, SQS, or similar) Strong grasp of testing strategies, observability, CI/CD practices, and reliability engineering Excellent communication skills, with the ability to influence technical decisions across teams Comfortable participating in and guiding on-call rotations for critical systems Eligibility for US security clearance Preferred Qualifications:Deep experience with Kubernetes including container orchestration, scaling, operational best practices, and monitoring in cloud environments. Demonstrated full-stack capability with TypeScript/JavaScript and modern UI frameworks Background in Math/Physics, AI/ML, or Orbital Mechanics Experience operating in a high-availability or mission-critical environment Active US security clearance What Success Looks LikeWithin 1 month, you’ll:Complete onboarding and gain deep context on LeoLabs’ mission and architecture Review key Insights systems and operational practices Contribute initial improvements or fixes that demonstrate your technical approach and engineering standards Within 3 months, you’ll:Own medium-sized backend features end-to-end with minimal guidance Lead constructive design reviews and actively support teammates Identify architectural or operational pain points and propose solutions Within 6 months, you’ll:Take ownership of m