Role: Senior DevOps / Cloud Platform Engineer

Working Location: Bangalore

Employment Type: Full time

Experience: 4-7 Years

Education: Bachelor s or Master s degree in Engineering, Computer Science, Information Technology, MCA, or a related technical discipline.

Role Overview

We are looking for a skilled Senior DevOps / Cloud Platform Engineer to take ownership of complex cloud platform challenges, driving security hardening, cost optimization, and GitOps governance. This role requires hands-on expertise in cloud infrastructure, Kubernetes, DevSecOps, infrastructure automation, and CI/CD while mentoring junior engineers and contributing to architectural decisions across multi-cloud environments.

Job Duties and Responsibilities

- Design and manage advanced Kubernetes clusters (EKS, AKS, GCP), including networking, RBAC, and multi-tenancy.
- Lead cloud security hardening initiatives, including network policies, secret management, image scanning, and compliance automation.
- Identify and implement cloud and Kubernetes cost optimization strategies, including rightsizing, spot instances, and cluster autoscaling.
- Architect and manage GitOps workflows using ArgoCD or FluxCD with policy enforcement.
- Provision and manage cloud resources using Terraform and Crossplane for advanced multi-cloud Infrastructure as Code (IaC).




- Build and optimize CI/CD pipelines with a focus on DevSecOps integration and pipeline reliability.
- Develop reusable automation frameworks and operational runbooks using Python and Shell scripting.
- Collaborate with architects and product teams to define platform standards and engineering best practices.
- Mentor junior DevOps engineers and conduct code and infrastructure reviews.

Technical Skills

- Advanced Kubernetes (EKS, AKS, GCP)
- Cloud Security Hardening
- Cloud Kubernetes Cost Optimization
- GitOps (ArgoCD / FluxCD)
- Terraform / Crossplane
- CI/CD Platform Engineering
- Python Scripting
- Shell Scripting
- Advanced Linux Administration
- DevSecOps Practices

Nice-to-Have Skills

- Experience with service mesh technologies such as Istio or Envoy.
- Knowledge of streaming platforms such as Kafka or Zookeeper.
- Exposure to data platforms like Databricks or Snowflake.
- Familiarity with MLOps or AIOps tooling.

Job Features

Job Category

Full time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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