Exp- 9+ years

Location- Greater Noida

Candidate should be ok for WFO role

Mandatory Skills- JAVA Architecture, JVM tuning, garbage collection optimization, thread management, Kafka, Memory optimization.

Key Responsibilities:

1. Performance Optimization & Troubleshooting:

• Perform JVM tuning, garbage collection optimization, and thread management to enhance system performance.
• Troubleshoot performance issues across middleware layers, including Kafka and Kubernetes environments.
• Analyze application logs and metrics to pinpoint performance bottlenecks and provide actionable insights.

2. Middleware Performance Engineering:

• Optimize Kafka for high-throughput and low-latency messaging systems.
• Leverage Kubernetes for container orchestration and resource management to achieve scalability and fault tolerance.
• Use performance monitoring tools like Dynatrace to identify system-level inefficiencies and propose improvements.

3. Code Review & Design Recommendations:

• Conduct in-depth code reviews to ensure performance best practices are adhered to.
• Collaborate with development teams to refine application design, ensuring alignment with performance objectives.

4. Collaboration with Architecture Team:

• Partner with application architects to explain identified performance challenges and propose detailed improvement plans.
• Influence architectural decisions with performance-first strategies to support robust and scalable solutions.

5. Performance Testing & Monitoring:

• Develop and execute performance testing strategies to validate the system's reliability under load.
• Establish automated performance monitoring pipelines for proactive issue detection and resolution.

Required Skills & Expertise:

• Core Expertise: Strong Java programming skills with in-depth knowledge of JVM internals and tuning.
• Middleware: Hands-on experience with Kafka, Grafana, Kubernetes, and related middleware technologies.
• Performance Monitoring: Proficiency in using Dynatrace or similar tools for performance analysis and optimization.
• Troubleshooting: Proven ability to troubleshoot and resolve complex system performance issues.
• Code & Design: Capability to review code and recommend design optimizations from a performance perspective.
• Collaboration: Excellent communication skills to work closely with architects, developers, and cross-functional teams.

Preferred Qualifications:

• Experience in distributed systems and microservices architecture.
• Familiarity with cloud platforms like Azure, OCI.
• Knowledge of CI/CD pipelines and DevOps practices for performance testing integration.