Overview 

Sedaro is hiring a Senior
Software Engineer to optimize
the performance of our data visualization platform for aerospace simulation. Our customers use our platform to explore and draw conclusions from simulated what-if scenarios. You'll
optimizehow we move massive datasets from backend to browser, enabling our customers to visualize and drill into trends across thousands of related scenarios.  

• Team:
  Studio, reporting to the Director of Engineering 

• Location:
  80% in-person in Arlington, VA 

• U.S. Citizen or permanent resident status required 
  

Who We Are 

Our mission is simulation at scale. Sedaro runs high-fidelity physics simulations of satellite constellations and connected fleets. Our platform makes massive datasets explorable through 3D playback and multi-dimensional analytics. We're built on React, TypeScript, Cesium, Python, and Kubernetes. Join us as an early employee building the interface layer for AI-augmented engineering and operations. 

Who You Are 

• You enjoy building sophisticated tools that empower users 

• You know the right time for both elegant abstractions and gnarly workarounds 

• You
  track your targets, rally your teammates, and pitch in to win as a team 

• You sweat the details and care about craft 

What You’ll Do 

• Architect the communication between our frontend and backend for speed, scale, efficiency, and resiliency 

• Establish performance budgets, observability, and testing across the platform 

• Create extensible platforms that enable a broad range of customer solutions 

• Build powerful tools for customers to explore and learn from their simulations 

Benefits 

• Equity 

• Unlimited PTO 

• 401(k) with 4% match 

• 100% premium payment for medical insurance 

• Parental Leave 

• Flexible work schedule with core hours 

• Company provided lunches 3 days a week 

• Industry-leading career development opportunities 

Requirements 

• Bachelor’s degree in computer science or equivalent experience 

• 6+ years of professional experience in software engineering 

• Experience profiling and optimizing data-intensive web applications across the full request lifecycle 

• Experience with data serialization, compression, or streaming strategies for large payloads 

• Experience with TypeScript or Python