Senior Lead Site Reliability Engineer - Cloud Data & Databricks
JPMorgan Chase & Co. (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 35–65 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead a team to design, implement, and maintain a managed AWS Databricks platform with engineering and operational support for applications.
- Develop multi-AZ, multi-region, and multi-cloud resiliency strategies and improve system observability, alerting, and capacity planning.
- Drive AI-assisted reliability workflows adoption, automate recurring issues, and ensure security, auditability, and operational excellence in SRE practices.
Minimum Requirements
- 10+ years of applied experience with formal training or certification in software engineering concepts.
- Strong understanding of SRE principles including SLIs, SLOs, error budgets, and incident management.
- Proficiency in Python application development with automated unit testing and experience with Terraform development and enterprise.
- Experience in using enterprise-authorized AI capabilities to improve reliability workflows with adherence to validation and data sensitivity best practices.
Ideal Candidate Profile
- Experienced in leading SRE teams focused on cloud data platforms, specifically AWS Databricks and big data ecosystems.
- Skilled in applying AI-assisted workflows responsibly within SRE operations ensuring resiliency, security, and auditability.
- Familiar with large-scale distributed data processing frameworks (Spark, Glue, MapReduce) and infrastructure automation with Terraform and CI/CD.