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Mid-level, metro SRE/performance role with a common title but niche AI-performance and observability skill requirements.
Core SRE and performance engineering skills transfer across industries, though banking domain experience is preferred.
Multiple mandatory tools, SRE/performance expertise and explicit 5+ years make screening stringent.
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Own performance engineering and testing for AI-driven digital banking solutions, ensuring reliability and scalability of APIs and microservices.
Lead workload modeling, capacity planning, and performance analysis leveraging AI-assisted tools and observability platforms.
Integrate performance testing within CI/CD pipelines and collaborate on AI-driven root cause analysis and anomaly detection.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Minimum 5 years of experience in Performance Engineering, SRE, or Performance Testing.
Proficiency with JMeter, Jenkins, CI/CD pipelines, Python, and API testing.
Experience with AI-assisted development tools, workload modeling, capacity planning, and monitoring tools like Dynatrace and Grafana.
Experienced in AI-driven performance analytics and capable of applying AI for root cause analysis and anomaly detection.
Strong background in microservices architecture, cloud-native applications, and integrated CI/CD environments.
Prior exposure to banking/financial services domain and AI-Driven SDLC environments.