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Mid-level DevOps role with broad cloud/AIOps skills at a known global airline increases candidate competition moderately.
Cloud DevOps skills are transferable, though airline AIOps/Databricks experience creates moderate domain bias.
Multiple mandatory technical skills and an explicit 5+ years requirement make shortlisting stringent.
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Design, automate, and operate secure, scalable AWS cloud and Kubernetes platforms supporting Data Engineering Operations.
Implement and manage CI/CD pipelines, Infrastructure as Code, deployment automation, and operational monitoring including AI-enabled workflows.
Enable AI-driven DevOps practices such as AIOps, generative AI integrations, incident response automation, and ensure governance and security compliance.
Bachelor’s degree in Computer Science, Engineering, IT, or related field.
5+ years experience in DevOps, Cloud Engineering, SRE, or Platform Engineering with AWS, CI/CD, IaC, scripting, containers, databases, and operational support.
Must have skills in AWS infrastructure, Terraform, Kubernetes, Python/Bash scripting, cloud security, monitoring, troubleshooting, and generative AI fundamentals.
Legal authorization to work in India without sponsorship; fluent English required.
Experienced with large-scale cloud infrastructure and automation in AWS and Kubernetes environments, supporting enterprise data platforms.
Familiar with AI/ML operational workflows including AIOps, MLOps/LLMOps, generative AI, and responsible AI governance.
Exposure to airline or transportation industry DevOps or similar regulated, high-availability environments preferred.