Senior Staff Engineer, IR Data Platforms & Geospatial

Front Door Defense; Denver (CO); Hybrid; USD 216,000 - 239,000; Full time

Benefits offered by this job

Equity grant

Medical, dental, and vision insurance

401k retirement plan

Paid vacation & holidays

Job summary

Muon Space seeks a hands-on Staff Software Engineer for the IR Data Products team in Denver, hybrid work three days per week. You will own architectural direction across multi-mission, multi-customer IR data systems, focusing on ingestion, orchestration, storage, and delivery at scale.

The role requires deep experience with distributed data platforms, geospatial data formats, and modern workflow orchestration, plus mentoring of engineers and cross-functional collaboration.

Qualifications

• 10+ years software engineering or advanced degree as stated (BS/ MS/ PhD).
• Led production data platforms at scale with architectural emphasis.
• Experience with latency optimization, geospatial storage, and MLOps foundations.

Responsibilities

• Own architectural direction for multi-mission IR data systems and cross-team execution.
• Lead design and rollout of low-latency processing capabilities and cloud infrastructure.
• Steer geospatial data storage, cataloging, and serving at scale.
• Build and advance MLOps foundations for derived IR products.
• Set team coding standards, CI, testing, and observability across platforms.
• Coordinate with Product, PMs, and other software teams; mentor engineers.

Skills

Technical leadership

Production data platforms

Latency optimization

Geospatial data

MLOps depth

AWS/cloud architecture

Education

Bachelor's degree in software engineering

Tools

Flyte

Airflow

Prefect

Argo

Terraform

Job description

Muon Space seeks a hands-on Staff Software Engineer for the IR Data Products team in Denver, hybrid work three days per week. You will own architectural direction across multi-mission, multi-customer IR data systems, focusing on ingestion, orchestration, storage, and delivery at scale.

The role requires deep experience with distributed data platforms, geospatial data formats, and modern workflow orchestration, plus mentoring of engineers and cross-functional collaboration.