Senior Full-Stack Software Engineer, LeoLabs

• While this role focuses primarily on backend services, leadership and experience across the full stack is highly desirable
• 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

Desirable

• 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
• 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
• Within 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 major services or system components
• Lead implementation of complex features requiring architectural decisions
• Improve engineering processes, tooling, or reliability practices across the team
• Serve as a go-to technical resource for cross-functional partners
• Within 12 months, you’ll:
• Influence strategic technical direction for the Insights team and adjacent systems
• Drive major multi-team initiatives, integrations, or architectural evolutions
• Mentor engineers across the organization and elevate overall engineering quality
• Proactively identify systemic opportunities for scale, resilience, and performance improvements