Associate Cloud / AI Developer

Clearance Level

None

Category

Software Engineering

Location

Remote, Working from the USA

Key Skills For Success

Cloud Platform

Engineering Fundamentals (Inactive)

RESTful APIs

REQ#: RQ226930

Public Trust: MBI (T2)

Requisition Type: Pipeline

Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.

Job Description

The Associate Cloud / AI Developer helps design, build, test, and support

Java-based, cloud-native applications running on the Google Cloud Platform (GCP) that enable and improve business workflows. This role contributes to secure and scalable services under the guidance of senior engineers and works closely with DevOps, Quality Assurance (QA), Product Management, and security partners to deliver reliable solutions that meet performance, security, and compliance expectations.

MEANINGFUL WORK AND PERSONAL IMPACT:

Contribute to the development and maintenance of Java backend services using modern engineering practices and established team patterns.

Assist in building cloud-based solutions on GCP that support data ingestion, processing, storage, retrieval, and distribution.

Develop and maintain Representational State Transfer (REST) application programming interfaces (APIs), including clear documentation and support for backward compatibility.

Support implementation of AI-enabled features by integrating approved AI services or models into applications, following team standards for quality and monitoring.

Troubleshoot and resolve application issues with guidance from senior team members, including participating in root-cause analysis and implementing fixes to prevent recurrence.

Follow secure coding practices and help ensure solutions meet security and compliance requirements (for example: access controls, encryption, logging, and policy-aligned data handling).

Contribute to continuous integration/continuous delivery (CI/CD) activities and updates in partnership with DevOps to support repeatable deployments.

Implement and maintain basic observability practices such as logging, metrics, and alerts; help keep operational documentation and runbooks current.

Collaborate with cross-functional partners to plan, deliver, test, and support software releases.

Participate in code reviews, team ceremonies, and technical documentation to build skills and align with shared standards.

WHAT YOU’LL NEED TO SUCCEED

Bring your expertise and drive for innovation to GDIT.

Education:

Bachelor’s degree in a relevant field from an accredited College/University

Alternative Path: If the candidate does not possess a relevant four-year degree, an additional four years of relevant work experience will be required.

Required Experience:

1+ years’ experience developing backend applications or services in Java.

Required Skills:

Experience developing backend applications or services in Java (academic, internship, or professional experience).

Basic understanding of cloud concepts and interest/experience working on GCP (coursework or hands-on exposure is acceptable).

Familiarity with REST APIs including common integration patterns and basic authentication/authorization concepts.

Exposure to AI concepts or AI service integration (for example: using an API for summarization, classification, or extraction) and willingness to learn evaluation/monitoring basics.

Understanding of secure engineering fundamentals (least privilege, secrets handling, encryption basics, and audit logging concepts).

Familiarity with Git and modern development workflows; exposure to CI/CD concepts is a plus.

Strong problem-solving, communication, and teamwork skills, with the ability to learn from feedback and follow established engineering practices.

Preferred Qualifications:

Exposure to Agile methodologies and Software Development Life Cycle (SDLC) practices.

Familiarity with change/configuration management tools (for example: VersionOne, ServiceNow) and/or Application Lifecycle Management (ALM) practices.

Hands-on exposure to container or serverless concepts (for example: Docker, Kubernetes fundamentals, or managed/serverless deployments).

Security Clearance Level:

This role will require you to obtain and maintain a Public Trust and will require you to provide onsite fingerprinting at a designated facility. This investigation may review personal and criminal behavior, financial conduct, foreign influence, as well as other adjudications.

This position has a U.S. residency requirement. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years as follows: U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years.

Location:

Remote

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities

Support: An internal mobility team focused on helping you achieve your career goals

Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off

Community: Award-winning culture of innovation and a military-friendly workplace

#zxc726

Work Requirements

Years of Experience

1 + years of related experience

may vary based on technical training, certification(s), or degree

Certification

Travel Required

Less than 10%

Salary and Benefit Information

The likely salary range for this position is $83,927 - $113,549. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.