Senior Software Engineer Flight + Plan

Location

Arvada (HQ); Seattle; Washington, DC

Address

Arvada, Colorado

Employment Type

Full time

Location Type

Hybrid

Department

Engineering

Compensation

• $140K – $180K • Offers Equity

Software Engineer, Flight + Plan What You’ll Be Doing 👨‍💻👩‍💻🛰️ As a Software Engineer on the Flight + Plan team, you will lead the design and development of scalable systems that power satellite modeling, mission planning, operational automation, and flight dynamics workflows across Quindar’s platform. You’ll work primarily in Python to architect and implement high-performance backend systems capable of supporting real-world spacecraft operations in production environments. This includes building and validating algorithms, integrating cloud-native services, and developing infrastructure that scales from single missions to large satellite constellations. This role sits at the intersection of aerospace engineering and modern software infrastructure. You’ll collaborate closely with flight dynamics engineers, operators, frontend engineers, and product leadership to turn complex operational requirements into resilient, maintainable systems. Success in this role requires more than strong implementation skills. We’re looking for engineers who actively seek leverage through automation and who are enthusiastic about integrating AI tools, coding agents, and AI-assisted workflows into their daily practice. At Quindar, we believe modern engineering teams should use AI to accelerate development, improve validation depth, reduce operational friction, and raise the overall quality bar across the platform. In this role, you will:

• Lead the design and implementation of backend systems supporting mission planning, satellite operations, and flight engineering workflows
• Develop and validate algorithms related to optimization, orbit propagation, scheduling, sensor fusion, or operational automation
• Build APIs and distributed services that integrate with cloud infrastructure and operational tooling
• Improve system scalability, reliability, observability, and performance across mission-critical workflows
• Use automation and AI-assisted engineering practices to improve developer productivity, testing depth, debugging efficiency, and operational insight
• Collaborate cross-functionally with aerospace engineers, operators, frontend engineers, and product managers to deliver operationally robust solutions
• Help shape engineering standards,...