Senior Software Engineer

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.