At Spire, the Space Reliability Engineering team’s mission is to protect, provide for, and progress the reliable operation of Spire’s constellation of satellites, ground stations, and software through vigilant monitoring of availability, latency, performance, and capacity. We embrace the Site Reliability Engineering work style and apply it to Space.

KEY SKILLS:

Candidates should have experience implementing systems using Python, including integrating with a diverse set of data stores and cloud services. They will need to interface with many teams across Spire to adapt user needs into system requirements and have the experience to collaborate and iterate on the resultant projects.

• 5+ years professional software engineering, devops, or SRE experience
• Familiarity with Linux, including Bash scripting and basic system administration
• Familiarity with data analysis and data analysis tools
• Proficiency using and developing containers for development and production environments

Strong candidates will also possess skills in one or more of the following areas:

• 5+ years of experience with system development using Python
• Familiarity with data backends like S3, RDS, Postgres, Redis, and Elasticsearch
• Experience with Databricks
• Familiarity with Python data visualization libraries
• Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.
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. #LI-MI1

As a Software Engineer working with the Space Reliability Engineering team, you will be working with a small team in an agile environment. You will be working on systems and tools that improve the efficiency of the satellite fleet. Some specific areas include:

• Develop operational automation for mission execution, anomaly detection and resolution, space situational awareness, and performance monitoring.
• Develop a data platform that allow for flexible data storage and analytics
• Data analysis of the telemetry from Ground and Space Assets to ensure reliable and efficient performance
• Maintain configuration control of all assets and provide for the rollout of updated software and configuration