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Senior Software Engineer

Backend Full-time Permanent United States

Job details

$160,000—$230,000 Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

Build and operate production software for federal AI applications deployed across environments ranging from commercial cloud to government cloud and disconnected networks. The work focuses on turning prototypes into secure, reliable, scalable services that can meet accreditation requirements and function in settings with limited access and observability.

Responsibilities

- Partner with AI engineers to deliver production-ready features and take services from prototype through deployment and accreditation. - Design and operate distributed systems with security controls built into the architecture and delivery process. - Build and maintain hardened container images, CI/CD pipelines, and deployment artifacts for cloud and air-gapped environments. - Investigate production issues and identify root causes using available logs and diagnostics, including when systems cannot be reproduced locally. - Break product requirements into actionable engineering work and contribute to technical decisions and team practices. - Mentor colleagues through code, design reviews, and pairing.

Requirements

- At least three years of professional experience building and operating large-scale distributed software systems. - Bachelor’s degree in computer science or a related field, or equivalent professional experience. - Active U.S. Top Secret security clearance. - Production ownership and practical experience with Python, relational databases such as PostgreSQL, and REST API design; FastAPI is preferred. - Experience with Docker, Kubernetes, Helm, CI/CD, automated testing, and observability; GitLab CI is preferred. - Strong understanding of distributed systems concepts such as retries, idempotency, queueing, failure isolation, and graceful degradation, plus clear written and verbal communication.

Nice to have

Experience shipping AI-backed features such as LLM inference, agents, or retrieval, with sound judgment about where those approaches fit. Familiarity with AI coding assistants is useful; the role expects engineers to review and take responsibility for shipped code.

Skills detected in the listing

PythonPostgreSQLAWSDockerKubernetesLLM
Detected Oct 21, 2026
Last verified Nov 12, 2026

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