While my current title is Software Engineer, my day-to-day work is deeply aligned with DevOps practices — I build Python automation pipelines, work in Linux environments, manage CI/CD workflows, and automate infrastructure tasks using PowerShell and Git. At KPIT, I've automated testing workflows end-to-end, built AI-powered agents with Docker containerization, and worked extensively with Agile delivery cycles.
I've also completed hands-on training through KodeKloud covering AWS, Terraform, Kubernetes, Docker, Ansible, and CI/CD pipelines (Jenkins & GitHub Actions) — the exact stack this role requires.
What excites me about KanthamAI is the opportunity to apply my automation-first mindset and cloud infrastructure skills (AWS, Terraform, GCP) in a dedicated DevOps role. I'm looking to transition fully into DevOps, and a company working at the intersection of AI and infrastructure is exactly where I want to grow.
