AI Augmented Full Stack Engineer

Description

The company serves the US federal government across defense, national security, public safety, civilian, and military health organizations, with more than 13,000 people.

The company is a technology firm within a global parent organization. The team is collaborative and invests in growth through hands-on work, certifications, and industry training.

This role supports a client in San Antonio, TX and focuses on building secure, scalable, mission-focused applications that support Globally Integrated Operations.

You will write modern Java and JavaScript and use AI-driven engineering tools, including code-assist, automated refactoring, intelligent testing, and AI-supported troubleshooting, to ship faster and improve system reliability.

You will work across backend, front-end, and automation layers and help modernize existing applications with AI-assisted workflows that cut manual effort and improve performance.

Responsibilities

• Design, build, and maintain scalable web applications that serve mission needs across the whole stack.
• Build and tune Java backend services that process data securely and efficiently at high performance.
• Develop and connect RESTful APIs so services communicate reliably with one another.
• Build responsive, accessible front-end interfaces in JavaScript using modern frameworks, with the user in mind.
• Work closely with product managers, designers, and engineers to turn requirements into technical solutions.
• Find and fix problems across the stack, strengthen reliability, and keep improving performance.
• Take ownership of your work and produce secure, maintainable, high-quality software.

Requirements

• At least 3 years working with Java, JavaScript, or front-end frameworks such as React, Angular, or Vue.js.
• At least 3 years of hands-on Ansible experience.
• At least 3 years building, consuming, and/or securing RESTful APIs.
• At least 3 years with SQL and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Elasticsearch.
• At least 3 years working with Node.js.
• At least 3 years using code-assist tools such as Gemini Code Assist, GitHub Copilot, or Amazon CodeWhisperer while building applications.
• Must hold an active Top Secret clearance.
• SCI clearance is preferred.
• Bonus: experience with Apache Spark and NiFi.
• Bonus: experience bringing AI and LLM tools into legacy architecture.
• Bonus: familiarity with Accumulo, Hadoop, Zookeeper, YARN, or similar data-ecosystem tools.
• Bonus: experience with Docker, Linux, AWS, and Kubernetes.
• Bonus: experience with AI-augmented CI/CD tools that automate documentation, test generation, dependency updates, or pipeline suggestions.
• Bonus: ability to use AI-assisted security scanning tools to find vulnerabilities or misconfigurations.
• Bonus: familiarity with AI-supported infrastructure automation, such as Ansible playbook generation or automated configuration validation.
• Bonus: DoD 8140 compliance, such as Security+, CISSP, or CASP.

Conditions

The base pay range for this role is $103,200 to $196,400 USD in California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia, where the company provides pay ranges as required by local law.

Final pay depends on factors such as office location, role, skill set, and experience level.

Applications are accepted on an ongoing basis, with no fixed deadline.

The company gives equal opportunity to all applicants.

Benefits

• A broad benefits package.
• Hands-on experience, certifications, and industry training to help you grow, learn, and advance.