Description

Key Responsibilities

• 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.
• 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.

Required Skills

• 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 GCP, 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

Key Skills

Education

Bachelor's degree