Description

You will own the identification and resolution of performance bottlenecks across infrastructure, frontend, services, databases, and CDNs. You will integrate load tools into CI/CD pipelines and build automated performance frameworks.

Responsibilities

• Identify system bottlenecks through creative tooling and analysis across multiple regions and massive codebases.
• Execute end-to-end performance identification, tuning, and optimization for enterprise web applications.
• Analyze thread dumps, heap dumps, and CPU dumps to resolve connection pool and database pool issues.
• Optimize frontend, client-side, and mobile native app performance on real devices.

Required Skills

• 7+ years of experience in performance testing and engineering for complex enterprise applications.
• Proficiency with load generation tools including Gatling, JMeter, and LoadRunner.
• Hands-on experience tuning Oracle, MySQL, SAP Hana, MongoDB, or DB2.
• Expertise in AWR report study for Oracle analysis and deep database performance knowledge.
• Experience with APM tools such as AppDynamics, Dynatrace, NewRelic, or Datadog.
• Ability to design custom dashboards for log aggregation tools like Splunk, ELK, Sumo Logic, or Graylog.
• Experience designing workloads using production analytics tools like Google Analytics, Omniture, or WebTrends.
• Scripting proficiency in JavaScript, Perl, Python, or Shell.
• Knowledge of Cloud, DevOps, and Kubernetes environments.

Preferred Skills

• 2+ years of application development experience in Core Java, including Data Structures, Algorithms, Hibernate, Spring, and Spring Boot.
• Experience with microservices development, optimization, and service virtualization using mocks or stubs.
• Hands-on exposure to GCP, AWS, or Azure.

Key Skills

Education

Any Graduate