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Tier-1 brand, metro location, and broad skillset requirements increase applicant competition.
Core DevOps and cloud skills are broadly transferable across industries, so background sensitivity is low.
Mandatory 7–10 years plus numerous required cloud, IaC, and tooling skills makes filters strict.
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Design, architect, and implement enterprise-scale automation and cloud-native platform solutions across AWS and Azure.
Develop and maintain Infrastructure as Code, CI/CD pipelines, and automation frameworks using Python, Shell scripting, Terraform, Ansible, and Jenkins.
Manage platform operations including system administration, monitoring, troubleshooting, reliability, and AI-enabled automation leveraging large language models and cloud AI services.
7-10 years of relevant experience in platform automation, DevOps, cloud engineering, and infrastructure automation.
Bachelor's or Master's degree in Engineering (B.E./B.Tech/M.E./M.Tech), MCA, or MBA.
Proficiency in AWS and Azure cloud services, Terraform, Ansible, Jenkins, Python, Shell scripting, Linux administration, and CI/CD pipeline design and implementation.
Experience with serverless and event-driven architectures, Docker/container technologies, monitoring and observability tools (especially NewRelic), and AI/LLM fundamentals.
Experienced manager or senior engineer with strong expertise in end-to-end DevOps and cloud platform engineering at enterprise scale.
Comfortable designing complex automation solutions that incorporate AI/ML capabilities, RAG architectures, and intelligent workflows.
Demonstrated ability to collaborate across engineering, operations, and business teams to deliver scalable, secure, and cost-optimized platform solutions.