Sr. Devops Engineer

3 days ago


Ahmedabad, Gujarat, India f39b391c-0cc6-463b-9e28-b4933851d04c Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job description:

Job Role: Devops Engineer

Location: Shyamal Cross Road, Ahmedabad Onsite

Shift Timing: 7 PM to 4 AM

Key Responsibilities:

  • Design, implement, and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins.
  • Build and manage Infrastructure as Code (Terraform, Bicep, CloudFormation) for reusable client solutions.
  • Containerize applications (Docker) and deploy to Azure Container Apps, AKS, AWS ECS/EKS, or serverless platforms.
  • Manage Linux and Windows workloads on Azure and AWS, including patching, updates, and configuration.
  • Integrate and manage Active Directory for both Linux and Windows systems, ensuring secure authentication and policy compliance.
  • Implement device management and compliance using Microsoft Intune, Azure Policy, and AWS Systems Manager.
  • Configure observability: logging, monitoring, alerting using Azure Monitor, CloudWatch, and enterprise-approved tools.
  • Ensure secure deployments with IAM/RBAC, VNets/VPCs, private endpoints, secrets management, and compliance guardrails (HIPAA, SOC2, GDPR).
  • Prepare runbooks, operational documentation, and support handoff processes.
  • Perform most work remotely on client machines, coordinating with client IT/security teams.

Required Qualifications

  • 4+ years of experience in DevOps, cloud, or platform infrastructure roles.
  • Strong experience with Azure and AWS services, including Linux workloads, patching, Intune, device management, and compliance.
  • Hands-on with Linux and Windows administration, including Active Directory integration.
  • Containerization (Docker) and orchestration experience (AKS, ECS/EKS).
  • Strong experience with Infrastructure as Code (Terraform, Bicep, CloudFormation).
  • Solid knowledge of CI/CD pipelines, monitoring, logging, and cloud security.
  • Scripting skills: Python, Bash, PowerShell for automation.
  • Preferred: Exposure to AI/ML deployment on cloud platforms (Azure OpenAI, LangGraph, ML workflows).
  • Strong communication skills; ability to liaise with client IT/security and internal teams remotely.
  • Degree in Computer Science or related field, or equivalent hands-on experience.

Job Types: Full-time, Permanent



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