Software Engineer, Spire Global

• 5+ years of professional software engineering, SRE, or DevOps experience
• Strong Python skills across backend services, data pipelines, and automation. Not just scripts
• Real experience applying data analysis to solve complex operational or technical problems, comfortable working directly with data at every layer from pipeline design to query
• Solid Linux fundamentals including bash scripting and basic system administration
• Experience with containerized development and production environments
• The communication skills to work across engineering, operations, and mission teams and translate real-world requirements into working software
• Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying

Desirable

• Spire is making a fundamental shift in how it operates its constellation. We are moving from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This team is building that future, and this role sits at the center of it
• The old model relies on operators, escalations, manual processes, and institutional knowledge locked in the heads of a few experts. It does not scale and it does not belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system
• You will be one of the engineers who makes that real
• Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stations
• Drive elimination of manual processes. If a human is doing it repeatedly, automate it
• Build space situational awareness systems so the fleet always knows its own state
• Develop operational automation for mission execution at scale
• Architect and build a flexible data platform that ingests, stores, and surfaces telemetry from space and ground assets
• Build analytics and visualization tools that surface operational insight and not just raw data
• Apply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performance
• Work directly with data at every layer from pipeline design to query
• Define and instrument SLOs and reliability metrics for space and ground assets
• Build monitoring and alerting systems that know what matters and ruthlessly suppress noise
• Own configuration control and software rollout processes for on-orbit and ground assets
• Build real-time dashboards and operator tooling that make mission status immediately legible
• Collaborate directly with satellite operators and mission teams to turn operational pain into software solutions
• Design systems for automated mission execution including planning, scheduling, and commanding at scale