DevOps / Cloud Platform Engineer - RegTech

Infosys

Bengaluru

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+

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Job summary

Infosys in Bengaluru is seeking a senior DevOps/Cloud Engineer to join our platform engineering team. You will own cloud infrastructure, automation, and deployment pipelines for multi-service environments, focusing on Azure and containerized workloads.

We expect 7–10+ years in DevOps or related fields, strong IaC and Azure experience, and collaboration with security, SRE, and product teams to ensure reliability and scalable operations. This role offers growth and exposure to global projects.

Qualifications

  • 7–10+ years in DevOps, cloud engineering, SRE, or related fields.
  • Hands-on Azure experience strongly preferred.
  • Experience with IaC tools like Terraform, Bicep, OpenTofu.
  • Proficient with CI/CD tools: GitHub Actions, Azure DevOps, Jenkins, GitLab CI/CD.
  • Strong Docker and Kubernetes knowledge; environment config and deployment troubleshooting.
  • Experience with monitoring, logging, alerting and runbooks for production environments.
  • Understanding of cloud networking, IAM/RBAC, encryption, secrets management.

Responsibilities

  • Build and maintain Azure cloud infrastructure for application services and containerized workloads.
  • Design and manage CI/CD pipelines for applications, APIs, and data services.
  • Containerize services and support deployments on AKS, App Service, or equivalent platforms.
  • Set up monitoring, logging, dashboards, health checks and runbooks using Azure tools.
  • Assist in incident handling, release governance, and operational improvements.

Skills

DevOps
Cloud engineering
SRE
Platform engineering
Production operations

Tools

Terraform
Bicep
OpenTofu
GitHub Actions
Azure DevOps
GitLab CI/CD
Jenkins
Docker
Kubernetes
Azure Monitor
Application Insights
Log Analytics
Secrets management

Job description

  • Minimum 7–10 years of experience in DevOps, cloud engineering, SRE, platform engineering, infrastructure engineering or production operations.
  • Hands-on experience with Azure or another major cloud platform; Azure experience is strongly preferred for this role.
  • Practical experience with Terraform, Bicep, OpenTofu or equivalent infrastructure-as-code tools.
  • Experience with GitHub Actions, Azure DevOps, GitLab CI/CD, Jenkins or equivalent CI/CD tools.
  • Strong working knowledge of Docker, containers, Kubernetes concepts, environment configuration, secrets management and deployment troubleshooting.
  • Experience implementing monitoring, logging, alerting and operational runbooks for production or pre-production environments.
  • Understanding of cloud networking, IAM/RBAC, encryption, secrets management, security hardening and cost-aware cloud operations.
  • Build and maintain Azure cloud infrastructure for application services, containerized workloads, databases, storage, secrets, monitoring, messaging and integration components.
  • Implement infrastructure-as-code using Terraform, Bicep, ARM templates or equivalent frameworks for repeatable environment provisioning.
  • Design and maintain CI/CD pipelines for application services, backend APIs, front-end components, AI services, data services, infrastructure changes and release promotion.
  • Containerize services using Docker and support deployments on Azure Container Apps, App Service, AKS or equivalent enterprise container platforms.
  • Set up monitoring, logging, alerting, dashboards, health checks, service-level indicators and operational runbooks using Azure Monitor, Application Insights, Log Analytics or equivalent tools.
  • Implement secure cloud engineering patterns covering Key Vault, managed identities, private networking, RBAC, secrets rotation, image scanning, vulnerability scanning and policy guardrails.
  • Support deployment packaging for public cloud SaaS and client-controlled cloud/VPC installation patterns where required.
  • Participate in incident troubleshooting, environment readiness checks, release governance, backup/restore validation and operational improvement activities.
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