All potential candidates should read through the following details of this job with care before making an application.
AI Engineer with custom business application development experience using AI tools such as Claude Code, OpenAI Codex, Cursor etc. Experience in building enterprise class CI-CD and harnesses using tools such as GitHub Copilot, Kubernetes, Dockers, Camel etc.
This role will work with onshore/offshore group and onsiteatlocation for initial 3-4 months and then lead the development effort with hybrid environment (25% onsite). This is contract-to-hire position.
Core Responsibilities
AI-Assisted Development:
Leverage tools like Claude Code to accelerate coding, debugging, and documentation generation, optimizing software development lifecycles (SDLC).
CI/CD Pipeline Management:
Build and manage automated CI/CD pipelines (e.g., Jenkins, GitHub Actions) to deploy applications from code commit to production.
Kubernetes Application Development:
Containerize applications using Docker and create/maintain manifests for deployment.
Performance & Reliability:
Configure resource requests/limits, ConfigMaps, and secrets to ensure reliable application behavior, minimizing downtime.
Monitoring and Troubleshooting:
Implement Monitoring, logging, and alerting solutions to ensure the health and performance of the environment. Diagnose and resolve issues related to Kubernetes clusters, applications, and services. Tools: Dynatrace, Datadog or Splunk etc.
Required Experience:
10+ years
of hands-on experience in custom business application development, including design, implementation, and maintenance.
7+ years
of experience working in
Agile/Scrum environments , delivering iterative solutions and collaborating with cross-functional onshore/offshore teams, strong communication and ownership skills.
Required Skills
Programming:
Proficiency in Go, Python, or Node. xsgimln js, react
Cloud Platforms:
Experience with AWS (EKS), GCP (GKE), or Azure (AKS).