Requirements
* 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
* (Desirable) Experience with data backends such as Postgres, Redis, Elasticsearch, or S3
* (Desirable) Hands‑on experience with Databricks or modern data Lakehouse tooling
* (Desirable) Experience building or operating monitoring and alerting systems such as Grafana, Prometheus, or Nagios
* (Desirable) Infrastructure as Code experience with tools such as Terraform or Ansible
* (Desirable) ML or AI applications in an operational or monitoring context
* (Desirable) Experience with Python data visualization libraries
What the job involves
* Spire is making a fundamental shift in how it operates its constellation
* We are moving from a model where trained operators watch dashboards and upscale 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
* Autonomous Operations
* 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
* Telemetry and Data Platform
* 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
* Reliability Engineering
* 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
* Mission Software
* 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
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