Must-Have Skills:
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3+ years of experience in DevOps across Azure and AWS
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Strong experience in Python and/or PowerShell
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Hands-on with Kubernetes, Terraform, Docker, Jenkins
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Proven ability to own issues end-to-end across multiple teams
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Expertise in both Azure and AWS IaaS & PaaS services
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Experience with Azure DevOps Pipelines & AWS CodePipeline/CodeBuild/CodeDeploy
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Design and implement CI/CD pipelines for cloud-native workloads
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Cloud infrastructure provisioning using Terraform (preferred), CloudFormation (bonus)
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Experience with Azure Monitor, AWS CloudWatch, logging & alerting systems
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Strong in Linux and Windows Server administration
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Understanding of microservice architecture and container orchestration
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Ability to implement Infrastructure as Code
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Knowledge of cloud security best practices and security controls
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Ability to understand complex distributed systems and architect resilient solutions
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Network fundamentals: firewalls, load balancers, VPC, VNets
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Kubernetes + Docker production experience
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Exposure to Data Engineering or Data Science environments (added advantage)
Daily Responsibilities:
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Work with product teams to architect, design, and implement scalable, reliable cloud systems
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Support teams deploying workloads across Azure and AWS environments
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Ensure KPI-driven monitoring and alerting across both cloud platforms
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Automate application deployment, configuration, and infrastructure provisioning
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Use monitoring tools (Azure Monitor, CloudWatch, Grafana) to optimize system performance
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Build root-cause analysis and observability practices into delivery workflows
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Mentor engineers on DevOps and cloud best practices
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Build and maintain reusable DevOps frameworks and automation libraries
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Lead deployment automation for CI/CD across Azure DevOps & AWS CodePipeline
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Research, evaluate, and implement new DevOps tooling and processes
Good-to-Have:
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Experience migrating on‑prem workloads to both AWS and Azure
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Strong problem‑solving and analytical skills
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Azure DevOps, AWS DevOps experience
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Preferred Certifications: AZ‑400, AWS DevOps Engineer Professional
Location – Ahmedabad & Vadodara
Notice period – 30 days