Job Description
We are looking for a Senior Performance Engineer who specializes in optimizing Java-based, containerized applications running in cloud environments. This role is critical in ensuring that our micro-services architecture operates with high efficiency, low latency, and optimal resource utilization at scale. You will be responsible for identifying, diagnosing, and resolving performance bottlenecks across Java, Spring Boot, Kubernetes, and distributed data stores.
Key Responsibilities:
- End-to-End Performance Optimization: Analyze and enhance the performance of Java microservices deployed in Kubernetes environments to ensure scalability, reliability, and minimal resource consumption.
- Container & Orchestration Performance: Tune Dockerized applications for efficient resource utilization, leveraging Kubernetes features (e.g., Horizontal/Vertical Pod Autoscaling, Cluster Autoscaler, CPU/Memory limits, KEDA).
- Java Performance Tuning: Optimize JVM performance, garbage collection (GC) tuning, thread management, and memory allocation to minimize latency and maximize throughput.
- Spring Boot Optimization: Profile and fine-tune Spring Boot applications, including database connections, thread pools, reactive streams, and caching strategies.
- Database Performance Engineering: Improve query execution times and indexing strategies across relational (PostgreSQL, MySQL, AWS RDS Aurora), NoSQL (Cassandra, DynamoDB), and in-memory databases (Redis, Memcached).
- Observability & Profiling: Utilize tools like JVM Flight Recorder, JFR, JVisualVM, YourKit, JProfiler, and distributed tracing solutions (Jaeger, Zipkin, OpenTelemetry) to diagnose slowdowns.
- Load & Stress Testing: Design and execute load, stress, and chaos engineering tests using tools like JMeter, k6 to simulate high-traffic scenarios.
- Message-Driven Performance: Optimize performance in event-driven architectures using Kafka or RabbitMQ.
- Cloud-Native Performance Optimization: Work with AWS and GCP to optimize auto-scaling, networking, and service mesh performance (Istio, Linkerd).
- Automation & Continuous Performance Testing: Develop CI/CD-integrated performance benchmarking suites to proactively identify performance regressions.
