Multi-Cloud DevOps Engineer (AWS + Azure + Kubernetes) — Capgemini · Bangalore

Cloud Soft Solutions; Bengaluru; Hybrid; INR 1,400,000 - 3,200,000; Full time

Benefits offered by this job

Comprehensive private medical

Sponsored certifications

Hybrid working

Generous leave policy

Job summary

Capgemini India is seeking a Multi-cloud DevOps Engineer to design and operate workloads across AWS, Azure and GCP with Kubernetes, GitOps and service-mesh patterns. The role requires 4–12 years of experience and a hybrid Bangalore-based setup, with other Indian metros open.

The salary band is INR 14–32 LPA, with potential 10–15% bonus and comprehensive benefits. You will land zones, manage hub-and-spoke networks, implement GitOps via ArgoCD/FluxCD, and drive FinOps and security practices.

Qualifications

• Hands-on production exposure to at least two of AWS, Azure and GCP.
• Deep Kubernetes experience with large-scale deployments.
• Strong Terraform proficiency across cloud modules and quirks.

Responsibilities

• Architect and operate workloads across AWS, Azure and GCP for multi-cloud client portfolio.
• Land and manage landing zones, hub-and-spoke networks, and identity federation.
• Develop Terraform modules and maintain them in internal registry with versioning.
• Operate Kubernetes clusters: lifecycle, addons, and service-m mesh IAM.
• Implement GitOps with ArgoCD/FluxCD and progressive-delivery patterns.
• Design CI pipelines with Jenkins, GitHub Actions, Azure DevOps, or GitLab CI.
• Lead DevSecOps adoption: SAST/DAST/IaC scanning and secrets management.
• Drive FinOps: cost allocation, budget alerts, and RI/Savings Plans modeling.

Skills

Kubernetes

Terraform

GitOps

Scripting (Python/Go)

Shell

DevSecOps

FinOps

Cloud certifications

Communication

Tools

ArgoCD

FluxCD

Jenkins

GitHub Actions

Azure DevOps

GitLab CI

cosign

Job description

Multi-cloud DevOps engineer for Capgemini India — design and operate workloads across AWS, Azure and GCP with Kubernetes, GitOps and service-mesh patterns. 4-12 years, hybrid Bangalore preferred, other India metros open. INR 14-32 LPA band.

About this role and the team at Capgemini. Multi-cloud DevOps engineer for Capgemini India — design and operate workloads across AWS, Azure and GCP with Kubernetes, GitOps and service-mesh patterns. 4-12 years, hybrid Bangalore preferred, other India metros open. INR 14-32 LPA band. This listing on cloudsoftsol.com is curated for engineers in India who are actively interviewing for senior cloud and DevOps roles. The role is permanent / full-time, hybrid, and the salary band reflects market rates in Bangalore (with Mumbai / Hyderabad / Pune options) as of mid-2026. If you are seeking a multi-year career platform rather than a stop-gap, this listing rewards depth — read the responsibilities and requirements below carefully and tailor your application to the specifics.

Responsibilities

Architect and operate workloads across AWS, Azure and GCP for Capgemini's multi-cloud client portfolio — landing zones, hub-and-spoke networks, identity federation, and unified observability.Author cloud-agnostic Terraform modules wherever possible, with provider-specific specialisations for EKS, AKS and GKE; maintain them in the Capgemini internal registry with semantic versioning and security-scan gates.Operate Kubernetes clusters across all three clouds: cluster lifecycle management, Helm-packaged platform add-ons, IRSA / Workload Identity / GKE Workload Identity for least-privilege workload IAM, and a service-mesh layer (Istio or Linkerd) where the client demands mTLS or fine-grained traffic shaping.Implement GitOps delivery via ArgoCD or FluxCD with environment promotion through git PRs, ApplicationSets for fleet-scale deployments, and progressive-delivery patterns (canary, blue-green, traffic shifting via the mesh).Design and run CI pipelines in whichever toolchain the client uses — Jenkins, GitHub Actions, Azure DevOps Pipelines or GitLab CI — with reusable workflow libraries and image-signing via cosign.Lead DevSecOps adoption: SAST / DAST / IaC scanning in CI, secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault), and centralised SIEM ingestion.Drive FinOps practices: cost allocation, budget alerts, anomaly detection, Reserved Instance / Savings Plan modelling, Azure Hybrid Benefit and GCP CUDs. Produce monthly client-facing FinOps reports with realised savings.Run blameless post-incident reviews, codify learnings into runbooks, and contribute back to Capgemini's internal multi-cloud playbook.

Requirements

4-12 years of DevOps / Platform Engineering experience with hands-on production exposure to at least two of AWS, Azure and GCP.Deep Kubernetes — at least 2 years of EKS, AKS or GKE in production at meaningful scale (50+ nodes, multiple namespaces and tenants).Strong Terraform; comfortable across the three cloud providers' Terraform modules and provider quirks.Working knowledge of at least one service mesh (Istio or Linkerd) and one GitOps tool (ArgoCD or Flux).Solid scripting in Python or Go, plus shell.DevSecOps and FinOps awareness; comfortable presenting cost and security trade-offs to client architects.Cloud certifications across two providers preferred (e.g., AWS Professional + Azure Solutions Architect Expert + CKA / CKAD).Excellent communication — you will be client-facing.

Why this role in 2026

Multi-cloud is where Capgemini's deepest accounts live and where the most interesting platform-engineering problems sit. Engineers with proven experience across two or more hyperscalers are scarce in the Indian market and command meaningfully higher offers — both inside Capgemini's grade ladder and outside.

Company & benefits

INR 14-32 LPA fixed plus 10-15% bonus. Comprehensive private medical, sponsored certifications, hybrid working, generous leave policy. Capgemini's internal University and Cloud Academy give multi-cloud engineers privileged access to vendor-led training across all three hyperscalers.