Senior Cloud / AI Developer

Summary:

The Senior Cloud / AI Developer designs, develops, and maintains Java-based, cloud-native applications on GCP that support business workflows. This role builds secure, scalable services. The position collaborates closely with DevOps, QA, Product Management, and security stakeholders to deliver reliable solutions that meet performance, security, and compliance expectations.

KEY RESPONSIBILITES

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 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

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, 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.

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).

Additional Required Skills/Experience:

Over Thirteen (13) years’ of relevant experience.

A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required.

Typically performs all functional duties independently.

Note: Special credentials (licenses and/or certifications) may be required at the Task Order level on a case-specific basis.