Senior Software Engineer, IR Data Products
Muon Space4 hours ago
Base Salary
$192k - $213k/yr
Responsibilities
- Design, build, and operate production pipelines processing infrared mission captures through L1 imagery, multispectral stacks, geolocation, orthomosaic tiles, hotspots, and derived wildfire products.
- Optimize pipeline infrastructure, cloud services, algorithms, latency, and computational cost.
- Build geospatial data discovery, hosting, serving infrastructure, and APIs for internal and customer-facing search, retrieval, visualization, and dissemination.
- Develop internal geospatial data visualization and inspection tools.
- Maintain and improve software testing, release, and deployment infrastructure and processes.
- Productionize research code with remote-sensing data scientists by hardening error paths, adding tests and observability, and ensuring rerunnable and idempotent processing.
- Implement end-to-end pipeline observability through structured logging, dashboards, metrics, alerts, and on-call ownership.
Requirements
- Bachelor's degree with 8+ years, master's degree with 6+ years, or PhD with 3+ years of relevant software engineering experience.
- Demonstrated experience shipping and operating production Python data pipelines and backend services on AWS or comparable cloud infrastructure.
- Hands-on experience with a modern workflow orchestrator such as Flyte, Airflow, Prefect, Argo, or Dagster, along with containerized deployments.
- Strong production Python, unit and integration testing, Git-based trunk development, code review, and CI/CD experience.
- Experience adding production-grade observability, including structured logging, metrics, dashboards, alerts, and on-call ownership.
- Working geospatial knowledge and hands-on experience with libraries such as GDAL/OGR, rasterio, PROJ, or shapely and formats such as GeoTIFF, Cloud Optimized GeoTIFF, NetCDF, Zarr, or HDF.
- Ability to collaborate with distributed, interdisciplinary teams of scientists, engineers, and program managers.
- Preferred experience operating STAC catalogs and ingest/query paths using stac-fastapi, pystac, pgstac, or equivalent.
- Preferred experience with xarray, Zarr, and NetCDF at scale, including chunked processing and streaming reads from S3.
- Preferred experience building scientific data visualization or inspection tools, using Grafana, LogQL, Prometheus, or InfluxDB, and working with satellite ground-segment or remote-sensing pipelines.
- Preferred experience with Flyte or Union.ai, Terraform/IaC for AWS resources, and productionizing scientific code written by non-engineers.
Benefits
- Hybrid work arrangement requiring three days per week on-site in the Denver, Colorado office.
- Equity compensation and comprehensive benefits.
- Medical, dental, and vision insurance.
- 401k retirement plan, short- and long-term disability insurance, and life insurance.
- Three weeks of paid vacation for new employees, 12 paid holidays, unlimited sick time, and paid parental leave.
Categories
BackendData Engineering
About Muon Space
Muon Space designs, builds, and operates low Earth orbit satellite constellations and a software stack that deliver Earth intelligence and in-orbit compute for government, defense, and commercial users. Founded in 2021 and headquartered in Mountain View, California, the privately held company sells spacecraft, payload integration, and data services. It runs a San Jose production facility capable of building up to 500 satellites in the 100–500+ kg class annually and has acquired propulsion startup Starlight Engines.