Company: LeoLabs
Salary: Not provided
Location: , United States
• 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
• 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
• Global workforce: flexible remote/hybrid opportunities • Work on complex, meaningful missions with real-world impact • Unlimited paid time off for most roles • Competitive salary and equity packages • Comprehensive health, dental, and vision coverage • Access to the forefront of commercial space operations and defense innovation
job post pulled from jsjobs
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