Software Engineer Flight + Plan

Quindar

• $120K — $150K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Aerospace Engineering, or a related field
  • 6-10+ years in backend engineering, distributed systems, or mission planning
  • Experience with high-performance backend systems
  • Proficiency in Python and experience with Java or other systems languages
  • Hands-on experience with AWS services and CI/CD workflows
  • Understanding of software architecture and performance optimization
  • Experience with containerization and cloud infrastructure deployment

Responsibilities

  • Lead the design and implementation of backend systems for satellite operations
  • Develop and validate algorithms for mission planning and flight dynamics
  • Build APIs and distributed services integrating with cloud infrastructure
  • Enhance system scalability and performance for mission-critical workflows
  • Utilize automation and AI to improve development and operational efficiency
  • Collaborate with cross-disciplinary teams to deliver robust solutions
  • Mentor fellow engineers and contribute to technical excellence

Benefits

  • Opportunities for professional growth and career advancement
  • Collaborative work environment with cross-functional teams
  • Engagement in cutting-edge aerospace and software technology
  • Focus on innovation through AI and automation
  • Culture of mentorship and technical ownership
Full Job Description
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, technical direction, and architectural decisions across the Flight + Plan domain
  • Mentor engineers and contribute to a strong culture of ownership, iteration, and technical excellence

Technical Skills

Required
  • Strong proficiency in Python and experience with Java (C++, Rust, or other systems languages are a plus)
  • Deep experience building scalable backend or distributed systems in production environments
  • Experience developing software that models complex mathematical, aerospace, or physics-based systems
  • Applied experience developing or validating algorithms for optimization, mission planning, orbit determination, scheduling, or sensor fusion
  • Strong understanding of software architecture, performance optimization, reliability, and modern engineering best practices
  • Experience designing, analyzing, and troubleshooting:
    • API services
    • Distributed systems
    • Relational databases
    • Caching and event-driven architectures
    • Experience building and deploying containerized applications using Kubernetes and/or serverless cloud infrastructure
  • Hands-on experience with AWS services such as:
    • Lambda, ECS, EKS
    • CloudWatch, S3
    • EC2, RDS, EFS/EBS
  • Experience with CI/CD systems and modern git-based workflows
  • Enthusiasm for using AI-assisted engineering tools and automation to improve development velocity and software quality

What Makes You Stand Out
  • You use automation and AI to increase engineering leverage and system quality - not just move faster
  • You thrive in ambiguous, highly technical problem spaces and can independently drive solutions from concept to production
  • You balance long-term architectural thinking with rapid execution
  • You communicate clearly across software, aerospace, and operational teams
  • You maintain high standards for reliability, maintainability, observability, and operational readiness
  • You naturally take ownership and help raise the technical bar for the team around you

Background Qualifications
  • Bachelor's degree in Computer Science, Aerospace Engineering, or a related technical field
  • 6-10+ years of professional experience in backend engineering, distributed systems, mission planning systems, modeling & simulation, or related technical domains
  • Equivalent hands-on experience from an exceptional self-starter with deep technical expertise will also be considered
  • Experience operating or supporting mission-critical production systems preferred
  • Active U.S. Security Clearance preferred but not required

ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. a7 1157, or (iv) Asylee under 8 U.S.C. a7 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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