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Job Description
Structured overview of role & requirementsAbout This Role
Ensure availability, performance, and scalability of caching systems (especially Redis) through monitoring, maintenance, and capacity planning.
Lead incident response, root cause analysis, and implement measures to prevent recurrence of outages or disruptions.
Develop and automate operational processes and tools to improve system resilience, performance tuning, and efficiency.
Minimum Requirements
Strong experience with Redis at scale, including Cluster, Replication, HA, Backup/Recovery, and Performance Tuning.
Strong SRE background covering service reliability, incident management, observability, automation, and operational excellence.
Proficient in Python programming for automation and tooling development.
Work Experience Required: Not explicitly mentioned in the JD; Role location: Pune, India.
Ideal Candidate Profile
Experienced in operating caching technologies with a focus on high availability and performance optimization in mission-critical systems.
Skilled in driving platform stability and continuous service improvements in complex environments.
Familiarity with financial domain technologies, Kafka event-driven architectures, and AIOps methodologies are advantageous but not mandatory.
