Senior Lead Site Reliability Engineer - Cloud Data & Databricks
JPMorgan Chase & Co. (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 50–85 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage an SRE team to design, implement, and support a managed AWS Databricks platform for business-critical services.
- Develop and execute multi-AZ, multi-region, and multi-cloud resiliency strategies and drive continuous platform observability, alerting, and capacity planning improvements.
- Leverage enterprise-authorized AI capabilities to enhance reliability workflows, ensure secure and compliant AI usage, and apply SRE best practices to improve system reliability, scalability, and performance.
Minimum Requirements
- 10+ years of applied software engineering experience with formal training or certification in software engineering concepts.
- Strong understanding of SRE principles including SLIs, SLOs, error budgets, incident management, and proficiency in Python development with automated unit testing.
- Experience with monitoring tools, automation frameworks, CI/CD pipelines, Terraform development, and knowledge of Big Data compute frameworks like Spark, Glue, and MapReduce.
- Demonstrated use of enterprise-authorized AI tools for reliability engineering with awareness of data sensitivity; experience setting team practices for safe AI usage in operations.
Ideal Candidate Profile
- Experienced leader comfortable managing SRE teams and driving platform architecture in cloud environments with business-critical impact.
- Deep knowledge of AWS Databricks platform administration, big data processing frameworks, and infrastructure automation using Terraform.
- Strategic operator skilled in integrating AI-driven workflows in reliability engineering while maintaining security, compliance, and operational resilience.