What are the responsibilities and job description for the Sr Software AI Engineer - SN position at Expert Technology Services?
Job Summary (List Format): Senior Software Engineer I (AI) – Cotiviti
- Develop and enhance production-grade backend services, APIs, and microservices using Java, Spring Boot, and AI-assisted tools (e.g., Claude, Copilot).
- Utilize AI-native engineering workflows for coding, testing, debugging, and documentation to accelerate high-quality software delivery.
- Review and refine AI-generated code to ensure correctness, performance, security, and maintainability.
- Integrate backend services with workflow orchestration platforms (e.g., Temporal.io, Camunda) for automation and intelligent routing.
- Collaborate closely with AI-Native Tech Lead and cross-functional teams to deliver end-to-end features, balancing speed and quality.
- Participate in technical design discussions, code reviews, and clearly communicate engineering solutions and tradeoffs.
- Ensure compliance with technology standards, secure coding practices, and software development lifecycle (SDLC) requirements.
- Troubleshoot and resolve production issues; continuously work to improve system performance and reliability.
- Contribute to CI/CD pipelines, DevSecOps processes, and cloud-native deployments (OpenShift/Kubernetes, AWS).
- Continuously expand knowledge in AI-assisted development and help refine team engineering practices.
- Complete annual performance objectives and support special projects as assigned.
- Develop and enhance production-grade backend services, APIs, and microservices using Java, Spring Boot, and AI-assisted tools (e.g., Claude, Copilot).
- Utilize AI-native engineering workflows for coding, testing, debugging, and documentation to accelerate high-quality software delivery.
- Review and refine AI-generated code to ensure correctness, performance, security, and maintainability.
- Integrate backend services with workflow orchestration platforms (e.g., Temporal.io, Camunda) for automation and intelligent routing.
- Collaborate closely with AI-Native Tech Lead and cross-functional teams to deliver end-to-end features, balancing speed and quality.
- Participate in technical design discussions, code reviews, and clearly communicate engineering solutions and tradeoffs.
- Ensure compliance with technology standards, secure coding practices, and software development lifecycle (SDLC) requirements.
- Troubleshoot and resolve production issues; continuously work to improve system performance and reliability.
- Contribute to CI/CD pipelines, DevSecOps processes, and cloud-native deployments (OpenShift/Kubernetes, AWS).
- Continuously expand knowledge in AI-assisted development and help refine team engineering practices.
- Complete annual performance objectives and support special projects as assigned.