Software Engineer - DevOps & AI Development

BRILLIENT CORPORATION•Reston, VA

6d•$140,000 - $160,000•Hybrid

About The Position

Brillient Corporation is seeking an experienced Software Engineer to support development of ALICE, an AI-native decision intelligence platform for federal, state, local, and commercial customers in environments aligned with Impact Level 5 (IL5) security requirements. This hands-on engineering role spans backend services, frontend applications, data pipelines, cloud infrastructure, and DevOps. The engineer will take problems from concept through production and use AI-assisted development practices while maintaining strong standards for software quality, security, testing, and reliability. The role is based at Brillient's Reston, Virginia headquarters and follows a hybrid arrangement with onsite presence required. The listed annual salary range is $140,000–$160,000. No minimum security clearance is required for the position, though the successful candidate must be eligible to obtain and maintain a U.S. government security clearance if required for future contract assignments.

Requirements

Three to five years of professional experience in software engineering, DevOps, or cloud-native application development, including hands-on experience building, deploying, and supporting production applications.
Proficiency in Python and at least one additional programming language, preferably TypeScript or Java.
Experience developing and deploying applications across backend services, frontend interfaces, APIs, and databases.
Hands-on experience with AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.
Experience with CI/CD tools such as GitHub Actions or GitLab CI.
Familiarity with infrastructure as code using Terraform or equivalent tools.
Experience developing automated tests, troubleshooting production issues, and maintaining application performance and reliability.
Understanding of secure software development practices, including OWASP principles, access controls, secrets management, and vulnerability scanning.
Ability to independently manage development tasks, troubleshoot technical challenges, and deliver production-ready solutions.
Willingness to adopt AI-assisted development tools and workflows while maintaining software quality, security, and accountability.
Strong communication, collaboration, and problem-solving skills.
Must be eligible to obtain and maintain a U.S. government security clearance if required for future contract assignments.
Ability to work onsite at Brillient's Reston, Virginia headquarters as part of a hybrid schedule.

Nice To Haves

Experience with AI-assisted software development tools such as Claude Code, GitHub Copilot, or similar platforms.
Experience managing multiple AI coding sessions or parallel development workflows.
Experience with AWS services such as EKS, IAM, and managed PostgreSQL.
Experience with Terraform, Kubernetes orchestration, cloud monitoring, and observability tools.
Familiarity with DoD IL5, FedRAMP, or other regulated and security-sensitive cloud environments.
Experience with automated security testing, container scanning, and secure CI/CD practices.
Experience working in small, agile engineering teams with responsibility for delivering software from development through production.

Responsibilities

Design, develop, test, and deploy software across backend services, frontend applications, data models, and infrastructure.
Build and maintain scalable cloud-native applications and services using Python, TypeScript, Java, and related technologies.
Develop and maintain CI/CD pipelines, automated testing frameworks, and infrastructure deployment processes.
Use AI-assisted development tools to accelerate development while maintaining engineering quality.
Break development tasks into clear specifications, automated tests, and independently verifiable deliverables.
Review, validate, and integrate AI-generated code for functionality, security, maintainability, and performance.
Collaborate on and progressively manage multiple AI-assisted development workflows as needed.
Deploy and manage containerized applications using Docker, Kubernetes, and AWS services.
Develop and maintain infrastructure as code using Terraform or equivalent technologies.
Implement monitoring, logging, observability, and troubleshooting capabilities across applications and infrastructure.
Apply secure software development practices, including vulnerability scanning, secrets management, access controls, and dependency management.
Support integrations with external systems, APIs, databases, and enterprise applications.
Collaborate with engineering and product stakeholders to deliver reliable, production-ready solutions in an iterative development environment.
Troubleshoot production issues and maintain application performance and reliability.