S
Spire Global
Senior Software Engineer (Space Reliability)
Skills
PythonData VisualizationPostgreSQLRedisDatabricksGrafanaData AnalysisMachine LearningAIElasticsearchAnsiblePrometheusLinuxSystem & Network AdministrationTerraform
1 month ago
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Important information
Contract type:
Permanent
Location:
Glasgow, UK
Work mode:
Onsite
Published on:
15 September 2026
What they need
- 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
Benefits
- Name your own satellite: Be remembered throughout time by choosing a name for a LEMUR satellite.
- Family Leave: Family is important. Our parental and family leave is designed to let you make the most of those precious moments.
- Learning & development: Spire more than encourages and supports ongoing personal improvement and a growth mindset, we welcome it!
- Launch Attendance: One of the perks from launching satellites into space is that Spire often has VIP access to view the launch.
- Generous time off policy: Take the time you need. Our flexible time-off policy promotes a positive work-life balance.
- Employee Assistance Program (EAP): Our EAP makes sure you have access to support and counseling sessions whenever you need it.
- Employee Stock Purchase Program (ESPP): Our ESPP provides eligible employees with an opportunity to purchase Spire shares through accumulated contributions.
- Fitness Reimbursement: Spire encourages fitness activity to promote employee well-being with reimbursed gym membership expenses.
- Employee Referral Program: Spire is always looking for outstanding people to join our team, and you can help and be awarded a referral bonus.
- Healthy snacks & beverages: To help our employees to be as productive as possible, we provide healthy snacks and beverages in each of our offices.- 5+ years of professional software engineering, SRE, or DevOps experience
- Experience with containerized development and production environments
- Solid Linux fundamentals including bash scripting and basic system administration
- 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
- Strong Python skills across backend services, data pipelines, and automation. Not just scripts
- 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
- Experience building or operating monitoring and alerting systems such as Grafana, Prometheus, or Nagios
- Experience with Python data visualization libraries
- Hands-on experience with Databricks or modern data Lakehouse tooling
- ML or AI applications in an operational or monitoring context
- Experience with data backends such as Postgres, Redis, Elasticsearch, or S3
- Infrastructure as Code experience with tools such as Terraform or Ansible
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