Backend developer

Role Overview

You will join a hybrid agile team supporting a leading geospatial technology company serving critical U.S. Government operations. The role focuses on designing, developing, and scaling a robust backend data platform that underpins intelligence community AI initiatives.

Responsibilities

• Design, develop, and maintain backend services and platform components for modern data architecture.
• Build integrations with internal/external data sources via APIs and event streams.
• Collaborate with data engineering, analytics, and product teams to define scalable data models.
• Improve reliability, observability, and performance of data workflows and backend systems.
• Apply best practices for testing, monitoring, logging, and deployment.
• Participate in architecture decisions for data storage, orchestration, metadata management, and access patterns.
• Uphold engineering standards for code quality, documentation, CI/CD, and operations.
• Troubleshoot and debug production issues to maintain high availability and performance.
• Stay current with emerging technologies and industry best practices.

Requirements

• Active TS/SCI clearance with CI Polygraph (mandatory).
• Bachelor’s degree in Computer Science, Systems Engineering, or related field, or equivalent experience.
• 5+ years of professional software engineering, with backend development focus.
• Strong Python proficiency.
• Hands-on experience building backend systems, APIs, or distributed services in production.
• Knowledge of PostgreSQL and Elasticsearch.
• Familiarity with AWS, especially S3 and RDS.
• Understanding of core engineering practices: testing, version control, CI/CD, and system design.
• Excellent troubleshooting and communication skills; able to work within a small technical team.

Nice-to-haves

• Not explicitly stated, but experience with observability and orchestration/metadata systems would be beneficial.