Intermediate Cloud / Artificial Intelligence (AI) Developer

Orion Innovation

Posted 23d ago

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Design, develop, and maintain Java backend services using modern engineering practices
Build and enhance cloud-based solutions on GCP supporting data ingestion, processing, storage, retrieval, and distribution
Develop and maintain REST APIs including versioning, documentation, backward compatibility, and integration
Implement AI-enabled features by integrating approved AI services or models into applications
Independently troubleshoot and resolve application issues, perform root-cause analysis, and implement preventative fixes
Apply secure coding practices and ensure solutions meet security and compliance requirements
Contribute to CI/CD pipelines and deployment automation in partnership with DevOps
Implement and maintain observability practices including structured logging, metrics, dashboards, alerts, and runbooks
Collaborate with cross-functional partners to plan and deliver releases, support testing, and resolve production issues
Participate in architecture/design discussions and code reviews; mentor junior developers

Minimum of 8 years' relevant experience
Degree from accredited College/University in applicable field (or 4 additional years if not)
Experience developing backend applications or services in Java
Hands-on experience with cloud services and deploying applications on GCP
Experience designing and implementing REST APIs
Experience integrating AI capabilities into applications
Practical knowledge of secure engineering fundamentals (least privilege, secrets management, encryption, audit logging)
Proficiency with Git-based workflows and working knowledge of CI/CD concepts
Strong troubleshooting skills including defect triage, performance tuning, and observability tools
Strong communication and collaboration skills across engineering, QA, DevOps, product, and security

Experience working in Agile teams and applying SDLC practices
Familiarity with change/configuration management tools (e.g., VersionOne, ServiceNow) and/or ALM practices
Experience with container and/or serverless concepts (e.g., Docker, Kubernetes fundamentals, or managed/serverless deployments)
Experience participating in production support rotations and contributing to post-incident analysis

Skills