Cloud / AI Developer

The Cloud / AI Developer designs, develops, and maintains Java-based, cloud-native applications on Google Cloud Platform (Google Cloud Platform) 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., Design, develop, and maintain Java-based applications for cloud environments, using modern engineering practices and cloud-native patterns.

Implement cloud-native solutions on Google Cloud Platform 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.

Build and maintain image processing pipelines, including validation, transformation, metadata extraction, indexing, and lifecycle management (retention, archival, deletion).

Implement AI-enabled capabilities for image-driven use cases such as classification, OCR/data extraction, redaction, quality checks, or similarity search using managed services and/or deployed models.

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.

Strong professional experience developing backend services and APIs in Java (for example, Spring/Spring Boot or similar frameworks).

Hands-on experience designing, deploying, and operating applications on Google Cloud Platform, using serverless and/or container-based approaches.

Experience designing and implementing RESTful APIs, including authentication/authorization patterns and integration with other services.

Experience with image-centric workflows such as capture/ingestion, object storage, transformation, and metadata management.

Experience integrating AI capabilities into applications (for example, computer vision/OCR, extraction, redaction, or search) and familiarity with basic evaluation/monitoring concepts.

Knowledge of secure engineering practices, including IAM, least privilege, service accounts, secrets management, encryption in transit/at rest, and audit logging.

Familiarity with CI/CD and infrastructure-as-code (for example, Terraform or equivalent) 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.

Additional Required Skills/Experience:

A minimum of Eight (8) years relevant experience.

o 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.

o 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.”