Senior Software Engineer, Full Stack

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 optimize how 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
• Eligibility: 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