Senior Cloud / AI Developer

About this role

Type of Requisition: Pipeline

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: MBI (T2)

Job Family: Software Engineering

Job Qualifications: Skills: AI Integration, Cloud Platform, Java APIs Certifications: None Experience: 8 + years of related experience US Citizenship Required: No

Job Description: The Senior Cloud / AI Developer designs, develops, and maintains Java-based, cloud-native applications on Google Cloud Platform (GCP) that support image-based business workflows. This role builds secure, scalable services for capturing, processing, storing, and distributing images for use both within the organization and with external partners. The position collaborates closely with DevOps, QA, Product Management, and security stakeholders to deliver reliable solutions that meet performance, security, and compliance expectations.

MEANINGFUL WORK AND PERSONAL IMPACT : • Design, develop, and maintain Java-based applications for cloud environments, using modern engineering practices and cloud-native patterns. • Implement cloud-native solutions on GCP to support image capture, ingestion, processing, storage, retrieval, and distribution workflows. • Create and maintain RESTful APIs for seamless integration with internal services and external partners, including versioning, documentation, and backward compatibility considerations. • Implement AI-enabled capabilities for use cases. • Identify, troubleshoot, and resolve technical issues and defects in cloud applications, including root-cause analysis and preventative fixes. • Ensure applications meet security standards and applicable compliance requirements through secure coding practices, IAM/authorization controls, encryption, auditing, and policy-aligned data handling. • Develop and maintain CI/CD pipelines and infrastructure-as-code for repeatable deployments and environment consistency in partnership with DevOps. • Implement observability practices including logging, metrics, tracing, alerting, and operational documentation/runbooks. • Work closely with cross-functional teams including DevOps, QA, and Product Management to plan, deliver, test, and support high-quality software solutions. • Participate in architecture/design reviews, code reviews, and technical documentation; contribute to shared standards and best practices.

WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. Required Experience: • 8+ years’ experience in technology or software development preferred.

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 Skills: • Strong professional experience developing backend services and APIs in Java. • Hands-on experience designing, deploying, and operating applications on GCP, using serverless and/or container-based approaches. • Experience designing and implementing RESTful APIs, including authentication/authorization patterns and integration with other services. • Experience integrating AI capabilities into applications and familiarity with basic evaluation/monitoring concepts. • Knowledge of secure engineering practices, including least privilege, service accounts, secrets management, encryption in transit/at rest, and audit logging. • Familiarity with CI/CD and infrastructure-as-code and Git-based development workflows. • Strong troubleshooting skills for cloud applications, including defect triage, performance tuning, and production support with observability tools. • Strong collaboration and communication skills across engineering, QA, DevOps, product, and security stakeholders.

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

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The likely salary range for this position is $111,155 - $150,385. 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.

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

T elecommuting Options: Remote

Work Location: Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT: O

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