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Metro-based senior DevOps role with common title and reputable employer increases competition.
Cloud-native DevOps and data platform skills transfer across industries, though banking domain knowledge is advantageous.
Explicit 8–14 years plus mandatory GCP, Terraform, Kubernetes, and CI/CD requirements enforce strict shortlisting.
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Lead design, build, automation, and operation of cloud-native data platforms and data products with focus on scalability, security, and operational stability.
Provide hands-on technical leadership, mentoring, and define engineering best practices across Homes Data & Pricing Engineering teams.
Drive platform modernisation, DevOps adoption, CI/CD pipeline design and operational excellence including site reliability engineering practices.
8 to 14 years of work experience in Data Engineering, DevOps, or Cloud Engineering.
Strong expertise in Google Cloud Platform (BigQuery, GKE, IAM, Networking, Dataflow).
Proficient in Terraform (Infrastructure as Code), Kubernetes, Docker, CI/CD tools like Harness, and programming languages Python and SQL.
Location requirement: Hyderabad (Hybrid working model).
Experienced leader capable of owning technical direction and mentoring mid-level engineers (Band D) in a complex data platform environment.
Strong background in cloud-native data platform architecture and automation with practical knowledge of multi-stakeholder collaboration and influencing solution directions.
Hands-on player-coach style with proven ability to balance coding, design, and strategic leadership for platform resilience and engineering excellence.