AI-Native Engineering
Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows (Claude, Copilot) for coding, testing, debugging, and documentation.
Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability.
Integrate services with workflow orchestration platforms (e.g., , Camunda) to support automation, intelligent routing, and decision support.
Orchestrate AI tool usage across development activities and help refine AI-native engineering standards set by the Tech Lead.
Collaboration & Delivery
Collaborate with the AI-Native Tech Lead, data teams, and adjacent teams to deliver features end-to-end, balancing speed, quality, and long-term maintainability.
Participate in design discussions and code reviews; communicate technical issues and tradeoffs clearly to engineering and product stakeholders.
Quality & Continuous Improvement
Ensure adherence to Cotiviti technology standards, secure coding practices, and SDLC requirements; resolve production issues and improve system performance and reliability.
Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS).
Continuously build AI-assisted development knowledge and help improve team engineering practices.
Complete all responsibilities on the annual Performance Plan and any special projects/duties as assigned. Required
