Description

Job Responsibilities include:

Design, develop, and maintain AI-enabled full-stack applications, developer tools, and automation solutions using Java, Spring Boot, React/Angular, Python, and cloud-native technologies.

Architect and implement AI integrations, prompt engineering solutions, and LLM-driven workflows to improve software development productivity and automation.

Build and optimize CI/CD pipelines, infrastructure automation, and deployment frameworks using GitHub Actions, Jenkins, Tekton, Terraform, and Kubernetes.

Develop secure, scalable APIs and backend services while integrating with enterprise platforms, API gateways, and authentication mechanisms using OAuth2 and JWT.

Design and maintain ETL/ELT pipelines, analytics solutions, and Power BI dashboards to support engineering insights, DevOps metrics, and operational reporting.

Provide technical leadership, troubleshoot complex platform issues, mentor team members, and drive Agile, DevOps, and continuous improvement best practices across engineering teams.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, Artificial Intelligence, or a related technical field.

6+ years of IT experience, including 4+ years of hands-on software development experience in full-stack, cloud-native, DevOps, or platform engineering environments.

Strong expertise in Java/Spring Boot, Python or Go, React/Angular, REST APIs, GitHub Actions, Jenkins, Terraform, Kubernetes, and cloud-native CI/CD automation practices.

Proven experience implementing AI-driven development solutions, prompt engineering, LLM integrations, Infrastructure as Code (IaC), DevOps metrics (DORA), data engineering workflows, and developer platform modernization initiatives

Key Skills

Education

Any Graduate