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Tier-1 employer, metro location, and broad SRE skill requirements increase applicant competition.
Core SRE skills transferable across industries, but fintech/payments domain preference raises sensitivity.
Explicit 8–12 years plus mandatory monitoring, Kubernetes, and scripting skills create stringent shortlisting filters.
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Define and manage SLIs and SLOs for assigned services, tracking error budgets and burn rates.
Develop, implement, and maintain automation using scripting and CI/CD pipelines, including container orchestration (Docker/Kubernetes).
Forecast capacity needs and analyze patterns to optimize service reliability and reduce Mean Time To Resolution (MTTR).
8 to 12 years of relevant experience, preferably in site reliability engineering or related fields.
Proficient with performance monitoring tools such as Dynatrace and Splunk, including creating dashboards and alerts.
Strong scripting skills in Unix Shell, Windows Scripting, Python, Java, C++, or C# with ability to automate repetitive tasks.
Experience working with virtualization/containerization technologies (e.g., Kubernetes) and knowledge of OS, Network, Middleware, Database, SSL, and Load Balancer.
Experienced in financial services technology, ideally with banking or payments domain knowledge or fintech industry experience.
Analytical and engineering mindset with end-to-end problem-solving capabilities focusing on operational reliability and performance.
Demonstrated ability to implement AI models to improve problem resolution and reduce downtime in production environments.