Jobs · Engineering

Cloud AI Developer

Haystack · United States · 5 days ago
RemoteRemoteEngineeringFull-time

About the role

Design, develop, and maintain Java-based, cloud-native applications on Google Cloud Platform. Build secure, scalable services for image capture, processing, storage, and distribution. Implement AI-enabled capabilities for image-driven use cases like classification, OCR, and data extraction. Collaborate with cross-functional teams including DevOps, QA, Product Management, and security stakeholders. Ensure applications meet security standards, compliance requirements, and performance expectations. Develop and maintain CI/CD pipelines and infrastructure-as-code in partnership with DevOps.

Responsibilities

  • Design, develop, and maintain Java-based, cloud-native applications on Google Cloud Platform
  • Build secure, scalable services for image capture, processing, storage, and distribution
  • Implement AI-enabled capabilities for image-driven use cases (e.g., classification, OCR, data extraction)
  • Collaborate with cross-functional teams including DevOps, QA, Product Management, and security stakeholders
  • Ensure applications meet security standards, compliance requirements, and performance expectations
  • Develop and maintain CI/CD pipelines and infrastructure-as-code in partnership with DevOps

Requirements

  • Strong professional experience developing backend services and APIs in Java (e.g., Spring/Spring Boot)
  • Hands-on experience designing, deploying, and operating applications on Google Cloud Platform
  • Experience designing and implementing RESTful APIs with authentication/authorization patterns
  • Familiarity with image-centric workflows (capture, ingestion, object storage, transformation, metadata management)
  • Experience integrating AI capabilities into applications (e.g., computer vision, OCR, data extraction)
  • Knowledge of secure engineering practices, including IAM, least privilege, and secrets management

Benefits

  • Opportunity to work on cutting-edge cloud AI solutions
  • Collaborative environment with cross-functional team engagement
  • Focus on modern engineering practices and cloud-native patterns

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