Devops Engineer

DevOps Engineer Kubernetes & CI/CD

About Us:

Company is specialized cutting - edge Gen AI company with an enterprise level GPT product that caters to corporates. We are one of the pioneering companies in the field of Artificial Intelligence. Our GPT product allows businesses to increase their productivity by getting assistance in all key functions including sales and marketing, operations, customer support etc. Our founders, Abhinav & Raghav Aggarwal have been on the cover of the Forbes Magazine as well as on the Forbes 30 Under 30 list and the Fortune 40 Under 40 list. Abhinav & Raghav have appeared on numerous TV channels including NDTV, CNBC TV18, ET NOW etc. They are the authors of the worlds first ever book written by an AI Algorithm. They have worked with Warren Buffet to create a digital human avatar for the Forbes centennial issue.

Job Location:Mumbai, Lower Parel

Work Mode: In-office

Salary Range: INR 3.5 - 5.5 LPA

Position Overview:

You'll own how we ship and run. Cloud clusters, on-prem clusters, and the CI/CD pipeline that connects developers to both. You'll work directly with senior engineers and learn fast - this is a role where you'll touch real production within weeks.

Key Responsibilities:

Manage Kubernetes clusters across AWS (EKS), Azure (AKS), GCP, and on-prem Build and maintain CI/CD pipelines that deploy to multiple client environments Write Helm, and ArgoCD configs Set up monitoring, alerting, and runbooks so things stay up Improve developer experience for our frontend (JS) and backend (Python) teams Help replace GitHub Codespaces with a self-hosted dev environment

Required Skills:

1 to 3 years hands-on with Kubernetes in production (not just tutorials) Worked with at least one of AWS, Azure, or GCP Comfortable with Docker, Linux, and Bash Some experience with CI/CD tools - GitHub Actions, GitLab CI, Jenkins, or ArgoCD Helm exposure Candidate can script in Python

Preferred Qualifications:

On-prem or air-gapped Kubernetes Prometheus / Grafana / observability stack GPU workloads, service mesh, or Vault