DevOps / Cloud Engineer - DaAI

Infosys

Bengaluru, INhybridPosted Jul 7, 2026
Posting intelligenceActively listedReposted 13×, possible evergreen/ghost posting

Skills

azure devopskubernetesterraformjenkinsdockergithubgitlabpythonazurehelmargogooglecloudawsml

About the role

Job Description:

As a DevOps Cloud Engineer you will help build automate deploy monitor and operate the cloud infrastructure for our AI and data platform

You will work with senior platform architects AI ML engineers data engineers and product teams to support reliable deployments across cloud hybrid and enterprise customer environments

This is a hands on engineering role for someone who is comfortable working with cloud platforms containers CI CD pipelines infrastructure as code observability and secure deployment practices

The role is ideal for an engineer who wants to build production grade platform capabilities for an enterprise AI product

Key Responsibilities:

Build and maintain cloud infrastructure components across AWS Azure GCP or equivalent cloud platforms under the guidance of senior platform architects

Implement infrastructure as code using Terraform OpenTofu cloud native templates or equivalent frameworks

Build and maintain CI CD pipelines for application services AI agents data pipelines infrastructure changes and environment promotions

Support GitOps based deployment workflows using tools such as Argo CD Flux GitHub Actions GitLab CI CD Azure DevOps or equivalent platforms

Containerize application services Python based AI agents data services and supporting platform components using Docker

Deploy and manage workloads on Kubernetes platforms such as EKS AKS GKE enterprise Kubernetes distributions or customer managed clusters

Create update and troubleshoot Helm charts values files environment specific configurations secrets injection and rollback procedures

Technical Requirements:

Hands on experience with at least one major cloud platform AWS Azure or GCP

Practical experience with Terraform OpenTofu or equivalent infrastructure as code frameworks

Experience with CI CD tools such as GitHub Actions GitLab CI CD Azure DevOps Jenkins or equivalent platforms

Working knowledge of Docker Kubernetes Helm and containerized workload deployment

Familiarity with Kubernetes concepts such as deployments services ingress config maps secrets namespaces RBAC and resource management

Preferred Skills:

Technology->Cloud Platform->Microservices,Technology->Container Platform->Kubernetes

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