L

LeoLabs

LEO satellite tracking and collision avoidance.

Senior Radar Software Engineer

Full-Stack EngineeringUpdated on Nov 11
Full-time

About the Job

Requirements

  • Hold an active U.S. Top Secret/Sensitive Compartmented Information clearance and have experience delivering mission work for Department of Defense or Intelligence Community customers.
  • Have a B.S. in Computer Science or Software Engineering, or equivalent experience.
  • Have at least five years of professional software engineering experience, including significant time building cloud-based systems at scale.
  • Have demonstrated experience building, deploying, and operating distributed backend services.
  • Have experience and enthusiasm using generative artificial intelligence for software development.
  • Be proficient in Python, Go, or a similar language.
  • Understand architecture patterns, service boundaries, message-driven workflows, and application programming interface design.
  • Have experience with cloud environments such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and containerized deployments.
  • Have expertise with relational databases such as PostgreSQL or MySQL and message brokers such as Kafka or Amazon Simple Queue Service.
  • Have experience with observability and continuous integration/continuous delivery practices.
  • Have strong communication skills and be able to work with stakeholders across teams.
  • Be willing to participate in on-call rotations for critical systems.
  • Be eligible to obtain required authorizations from the U.S. Department of State under International Traffic in Arms Regulations.

Responsibilities

  • Leverage LeoLabs’ dual-use systems to support critical space missions.
  • Develop full-stack software for key software initiatives, particularly for Department of Defense and Intelligence Community contracts.
  • Participate in stakeholder discussions and translate customer needs into engineering requirements.
  • Ensure reliability, observability, security, and performance across production systems.
  • Own critical portions of systems through the full development lifecycle, including operation, monitoring, and on-call support.
  • Use generative artificial intelligence to improve the quality and security of software.
  • Complete onboarding and develop context on the mission, architecture, software systems, and operational practices.
  • Contribute initial improvements or fixes that demonstrate a technical approach and engineering standards.
  • Contribute to design reviews and support teammates.
  • Own medium-sized software features end-to-end with minimal guidance.
  • Deliver software features for U.S. federal contracts and revenue-generating projects.
  • Participate in requirements discussions for complex features.
  • Take ownership of major services or system components.
  • Influence the strategic technical direction of the Cloud Software team.
  • Help advance sensor orchestration and integration software products.

Desired Qualifications

  • Have experience building production frontend applications with TypeScript, JavaScript, or comparable modern web technologies.
  • Have experience deploying into U.S. federal systems.
  • Have experience with Kubernetes in cloud environments.
  • Have a background in Mathematics, Physics, artificial intelligence/machine learning, or orbital mechanics.
  • Have experience operating in a high-availability or mission-critical environment.

About the Company

LeoLabs

LEO satellite tracking and collision avoidance.

LeoLabs.Space provides data and analytics for Low Earth Orbit (LEO) operations, offering automated satellite tracking, real-time collision avoidance alerts, on-console support to identify new payloads, and mission risk assessment through its Vertex platform, with revenue from service fees. It uses a global phased-array radar network to continuously observe objects in LEO, and the Vertex platform processes this data to deliver automatic tracking, alerts, and risk insights to clients. The company differentiates itself with an independent, wide-area radar network that enables real-time collision avoidance and payload identification—focused specifically on LEO and delivering end-to-end data and risk assessments for operators and stakeholders. Its goal is to improve safety, reliability, and planning in LEO space by giving operators and investors timely, accurate information and tools to manage space traffic and mission risk.

Company size
51-200
Company stage
Grant
Total funding
$115M
Headquarters
Menlo Park, CA
Founded
2016

Recently Posted Jobs

Explore more opportunities at LeoLabs

See more jobs