Performance Engineer
Java / Springboot (Must)
Strong Performance tuning & code optimization experience (Must have)
Experience enabling performance tests as part of the CI pipeline (Must have)
Experience with tools like JMeter & K6 (Must)
Mock framework development experience (Jmock Mockito etc)
Experience with building performance dashboards (Dynatrace Splunk Prometheus Grafana etc.) (Must have)
Kafka experience
Performance Optimization
Code Optimization Identifying inefficient code (e.g., redundant loops, unnecessary DB calls).
Query Optimization Tuning SQL and NoSQL queries for better performance.
Caching Strategies Using Redis, Memcached, or in-memory caching to reduce DB calls.
Concurrency & Parallelism Efficient multi-threading and asynchronous processing.
Infrastructure & Scalability
Cloud Performance Optimization Tuning AWS/Google Cloud Platform/Azure resources (autoscaling, instance types).
Kubernetes/OpenShift Performance Pod scaling, resource requests/limits, and node performance.
Database Performance Tuning Indexing, sharding, partitioning strategies.
Soft Skills & Best Practices
Root Cause Analysis (RCA) Systematic troubleshooting of performance issues.
Collaboration with Dev, Ops, and QA Communicating findings and solutions.
CI/CD Integration Embedding performance tests in Jenkins, GitHub Actions, or GitLab CI.
Java / Springboot (Must)
Strong Performance tuning & code optimization experience (Must have)
Experience enabling performance tests as part of the CI pipeline (Must have)
Experience with tools like JMeter & K6 (Must)
Mock framework development experience (Jmock Mockito etc)
Experience with building performance dashboards (Dynatrace Splunk Prometheus Grafana etc.) (Must have)
Kafka experience
Performance Optimization
Code Optimization Identifying inefficient code (e.g., redundant loops, unnecessary DB calls).
Query Optimization Tuning SQL and NoSQL queries for better performance.
Caching Strategies Using Redis, Memcached, or in-memory caching to reduce DB calls.
Concurrency & Parallelism Efficient multi-threading and asynchronous processing.
Infrastructure & Scalability
Cloud Performance Optimization Tuning AWS/Google Cloud Platform/Azure resources (autoscaling, instance types).
Kubernetes/OpenShift Performance Pod scaling, resource requests/limits, and node performance.
Database Performance Tuning Indexing, sharding, partitioning strategies.
Soft Skills & Best Practices
Root Cause Analysis (RCA) Systematic troubleshooting of performance issues.
Collaboration with Dev, Ops, and QA Communicating findings and solutions.
CI/CD Integration Embedding performance tests in Jenkins, GitHub Actions, or GitLab CI.