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High — Tier‑1 employer, Bengaluru metro, and a common DevOps senior role increase qualified applicant density.
Medium because core cloud and DevOps skills are transferable but Generative AI platform experience adds domain bias.
High due to explicit 12+ years requirement and multiple mandatory cloud, infra, and leadership skills.
Lead and support the platform engineering team managing Generative AI platform initiatives and daily operations.
Develop and implement operational strategies to optimize cloud infrastructure, ensure application performance, and meet SLA targets.
Provide technical guidance on cloud-based solutions including AWS, DevSecOps practices, and ensure security compliance.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
12+ years of total professional experience with 10+ years relevant experience in DevOps and cloud engineering.
Expertise in AWS services (IAM, VPC, EC2, EKS, S3, RDS, Route53, CloudWatch, Lambda), containers (Docker, Kubernetes), Linux, Infrastructure as Code (Terraform), Azure Pipelines, GitHub, Ansible, and observability tools (Prometheus, Grafana).
Experience with multi-cloud (AWS and Azure), cloud security, cloud cost optimization, and high availability distributed systems designs.
Experienced leader capable of managing and mentoring a technical operations/support team in a large enterprise environment.
Proven track record in platform engineering with deep knowledge of cloud infrastructure, DevSecOps, and Agile methodologies.
Skilled in collaborating across engineering teams to drive cloud adoption, operational excellence, and implementation of AI-driven solutions.