Senior Software Engineer

GRVTY•Aurora, CO

13h•$160,000 - $225,000

About The Position

We are seeking an experienced Senior Software Engineer to contribute to core services across a large-scale, multi-team engineering initiative. In this hands-on role, you will design, build, and deploy resilient backend services, data pipelines, and system integrations that power mission-critical capabilities across the program. As a senior individual contributor, you lead by example—writing clean, maintainable code, actively participating in system design, championing modern DevSecOps practices, and raising the technical bar through thoughtful peer reviews.

Requirements

Active or current Top-Secret clearance
Deep, production-level experience in Python (backend frameworks, data structures, asynchronous programming) and Bash scripting for task automation and system-level workflows.
Strong hands-on experience with relational databases—specifically PostgreSQL (schema design, indexing, complex query optimization)—and Redis for state management, caching, or message queuing.
Proven experience building multi-stage Docker images and configuring, deploying, and debugging workloads in Kubernetes using Helm.
Working familiarity with Git workflows and building or integrating into CI/CD pipelines that enforce code quality gates, automated test coverage, and security vulnerability scanning.
Bachelor’s degree in STEM or a related field
15+ years of software engineering experience delivering production backend systems. Demonstrated ability to operate independently, debug unfamiliar codebases, and write clean, self-documenting code that serves as a benchmark for peers.

Nice To Haves

Active or current Top-Secret clearance with SCI access and polygraph (TS/SCI with poly).
Privileged User eligibility (Security+ Certification or Customer accepted equivalent).
Experience with distributed messaging or event-driven patterns (e.g., event streaming, message brokers).
Familiarity with microservices architectures and API design standards (REST, gRPC).
Exposure to monitoring, observability, and distributed tracing tools in Kubernetes environments.
Knowledge of space-to-ground architectures, interfaces, Command and Control (C2) systems, and Mission Management (MM) systems.

Responsibilities

Design, build, and maintain scalable, high-availability backend services and APIs primarily using Python. Apply solid software design patterns and maintain high code quality across distributed components.
Implement reliable interfaces, data contracts, and integration layers across distributed services, external systems, and event-driven data streams.
Author comprehensive automated test suites (unit, integration, regression) to guarantee data accuracy, edge-case coverage, and system resilience. Diagnose and resolve complex defects across the stack.
Profile resource usage, query execution, and network bottlenecks to optimize throughput, reduce latency, and ensure efficient scale.
Containerize services using Docker and manage Kubernetes deployments using Helm. Actively maintain and enhance CI/CD pipelines to ensure automated code analysis, unit testing, and vulnerability scanning run on every build.
Partner closely with cross-functional agile teams, product owners, and technical stakeholders to break down complex system requirements into deliverable, production-ready increments.