Staff Software Engineer, Machine Learning Operations

Responsibilities

• Deployment and integration of computer vision solutions for next-generation satellite imagery analytics.

• Ensure high-quality and production-ready Python or Go code.

• Manage cloud infrastructure and code deployment to AWS, Kubernetes, or other environments.

• Take part in the entire project lifecycle from requirements development to deployment.

• Serve as a lead on MLOps software development projects, data ETL projects, and software feature development.

• Collaborate with management and technical team on technical roadmap and implementation strategy.

Requirements

• Minimum of eight years of hands‑on experience as a software engineer with at least three years focused on geospatial MLOps.

• Bachelor’s Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field or equivalent experience.

• Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing.

• Strong Python3 proficiency or GO proficiency and experience writing production software for data ETL, REST APIs, micro‑services, geospatial, or data analytics, and cloud deployment.

• Experience with databases, SQL queries, and data model design especially SQL such as PostgreSQL/PostGIS.

• Experience writing software to integrate with third‑party APIs, performing data ETL, and managing complex data at scale in relational data stores.

• Strong ability to communicate concepts and software system results with customers, management, and the technical team, highlighting actionable insights.

• Hands on experience with cloud services such as AWS EKS, S3, EC2, Aurora / RDS, SQS, SNS, Batch, etc.

• Due to program requirements, candidates must hold US citizenship.