Senior Software Engineer, Flight + Plan

Quindar•Arvada, CO

3d•$140,000 - $180,000

About The Position

As a Senior Software Engineer on Quindar’s Flight + Plan team, you will lead the design and development of mission-planning systems that support real-world spacecraft operations. Your work will focus on optimization, scheduling, operational automation, and high-performance backend services across Quindar’s platform. You’ll work primarily in Python to build reliable production systems that solve computationally demanding planning problems. These systems must process large search spaces, respond with low latency, and scale from individual spacecraft to large satellite constellations. You’ll develop and validate algorithms, design distributed services, and improve the performance and operational resilience of mission-critical workflows. This role sits at the intersection of optimization, backend software engineering, and space operations. You’ll collaborate closely with software engineers, flight dynamics engineers, satellite operators, frontend engineers, and product leaders to turn complex operational requirements into maintainable and scalable software. We’re looking for an engineer who combines strong software fundamentals with mathematical problem-solving skills and sound engineering judgment. You should be comfortable taking ownership of ambiguous technical problems, evaluating tradeoffs, and carrying solutions from initial design through production operation. Quindar encourages engineers to seek leverage through automation and AI-assisted development. We use modern engineering tools to accelerate implementation, deepen validation, improve debugging, and reduce operational friction while maintaining a high standard for correctness and reliability.

Requirements

Strong proficiency in Python and deep experience designing, building, and operating production backend systems
Experience developing high-performance software for low-latency, compute-intensive, or data-intensive workloads
Applied experience with optimization, scheduling, search, planning, or resource allocation, using techniques such as constraint programming, mixed-integer programming, vehicle routing, heuristics, or other operations-research methods
Strong knowledge of algorithms, data structures, computational complexity, performance analysis, and system profiling
Experience designing and troubleshooting APIs, distributed systems, relational databases, and containerized cloud applications
Strong software-engineering fundamentals, including architecture, testing, CI/CD, observability, and modern Git-based workflows
Bachelor’s degree in Computer Science, Aerospace Engineering, Applied Mathematics, Operations Research, or a related technical field—or equivalent practical experience
6+ years of professional software-engineering experience involving backend systems, distributed systems, optimization, planning, modeling and simulation, or related technical domains
Demonstrated experience independently driving complex software from concept and technical design through production deployment and operation
Active U.S. Secret security clearance, with the ability to maintain it throughout employment

Nice To Haves

Experience with flight dynamics, orbital mechanics, astrodynamics, spacecraft operations, or aerospace modeling and simulation
Can translate ambiguous operational needs into well-defined planning, optimization, and software problems
Hands-on experience with cislunar mission design, trajectory planning, or operations in the Earth-Moon system
Evaluate algorithmic approaches based on solution quality, runtime, scalability, reliability, and operational constraints
Balance long-term architectural thinking with pragmatic, iterative delivery and communicate clearly across disciplines
Naturally take ownership, mentor others, use automation and AI thoughtfully, and help raise the technical bar for the team

Responsibilities

Lead the design and implementation of mission-planning, scheduling, optimization, and operational-automation systems
Develop and validate algorithms that solve complex planning and resource-allocation problems across large solution spaces
Build high-performance APIs and distributed services for low-latency and compute-intensive workloads
Improve the scalability, reliability, observability, and operational readiness of mission-critical systems
Collaborate across software, program, product, and operations to turn complex requirements into robust production solutions
Help shape technical direction, mentor other engineers, and use automation and AI-assisted practices to improve engineering velocity and quality