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 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead a team of Site Reliability Engineers to design, implement, and maintain a managed AWS Databricks platform with multi-region and multi-cloud resiliency strategies.
- Drive system observability, capacity planning, automation, and operational excellence focusing on reliability, scalability, and incident management.
- Leverage enterprise-authorized AI tools to improve reliability workflows including incident/post-incident analysis and integration within SDLC practices ensuring security, auditability, and resilience.
Minimum Requirements
- 10+ years of applied software engineering experience and formal training or certification in software engineering concepts.
- Strong understanding and practical application of SRE principles: SLIs, SLOs, error budgets, and incident management.
- Proficiency in Python development with automated unit testing, Terraform development, and experience with monitoring tools and CI/CD pipelines.
- Experience with enterprise-authorized AI capabilities for reliability engineering and ability to set safe AI operational practices while ensuring security and auditability.
Ideal Candidate Profile
- Experienced in managing complex, cloud-based data platforms leveraging AWS and Databricks with expertise in distributed computing frameworks like Spark and Glue.
- Proven ability to lead teams in cross-functional agile environments, focusing on automation, operational stability, and technical troubleshooting.
- Skilled in implementing reliable, secure, large-scale data processing infrastructure integrating AI-assisted operations and best SRE practices.