IT & Software

Senior Software Engineer - Space Reliability

Spire Global

Glasgow · Glasgow City · United Kingdom

Overview

In this role you will help design and build autonomous fault handling for Spire’s satellite and ground networks. You’ll integrate SRE principles with AI-driven anomaly detection to drive reliable, low-toil operations. You’ll shape a data platform for telemetry, enable scalable mission automation, and partner with mission teams to turn operational pain into software solutions. This is a mission-critical opportunity to influence how Spire operates its constellation at scale.

Pay / Benefits
  • Name Your Satellite Program (NYSP)
  • Launch Attendance
  • Generous Time Off Policy
  • Education Assistance Program
  • Employee Assistance Program (EAP)
  • Employee Stock Purchase Program (ESPP)
Responsibilities
  • Design and implement fault detection, isolation, and automated recovery pipelines for satellites and ground stations
  • Automate repetitive manual processes across operations
  • Develop space situational awareness systems to maintain fleet visibility
  • Build operational automation for mission execution at scale
  • Architect and evolve a flexible telemetry data platform
  • Create analytics and visualization tools to surface actionable insights
  • Apply ML/AI to detect anomalies, predict failures, and optimize constellation performance
  • Define and instrument SLOs and reliability metrics for space and ground assets
  • Build monitoring and alerting systems and reduce noise
  • Own configuration control and software rollout processes for on-orbit and ground assets
  • Develop real-time dashboards and operator tooling for mission status visibility
  • Collaborate with satellite operators and mission teams to transform pain points into software solutions
  • Design systems for automated mission planning, scheduling, and commanding at scale
Key requirements
  • 5+ years of professional software engineering, SRE, or DevOps experience
  • Strong Python skills for backend services, data pipelines, and automation
  • Proven ability to apply data analysis to operational problems across data layers
  • Solid Linux fundamentals including bash scripting and system administration
  • Experience with containerized development and production environments
  • Excellent cross-team communication to translate requirements into software
  • excellent communication
  • cross-functional collaboration
  • problem-solving mindset
  • Postgres
  • Redis
  • Elasticsearch

Reference: WJ-747_30151269

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