Job Description
Position: Instructor – Java Performance Tuning
Engagement: Contract (3 Days / 21 Hours Total)
Delivery Mode: Remote, Live Instructor-Led
Project Overview
We are seeking an experienced Java Performance Tuning Instructor to deliver a highly practical 3-day training program (7 hours per day). The course should focus on real-world performance analysis and optimization techniques for Java applications, covering the JVM, Garbage Collection (GC), and application code performance.
The training must include hands-on labs, live demonstrations, and practical debugging exercises to help participants understand how to measure, diagnose, and improve Java application performance effectively.
Target Audience
- Intermediate to advanced Java developers
- Engineers responsible for diagnosing and resolving performance issues in JVM-based applications and services
Training Objectives
By the end of the training, participants should be able to:
- Apply a structured performance methodology: Measure → Isolate → Verify → Iterate
- Understand JVM performance fundamentals, including memory model and JIT compilation impact
- Diagnose memory and garbage collection issues
- Select appropriate GC strategies for different workloads
- Use modern monitoring and profiling tools to identify performance bottlenecks
- Design reliable microbenchmarks and avoid common benchmarking mistakes
- Implement JVM tuning and memory optimization techniques with confidence
Trainer Responsibilities
- Deliver live, interactive instruction with strong hands-on lab sessions
- Provide a runnable lab environment setup guide (local or packaged)
- Share training slides, notes, and lab materials
- Demonstrate real-world troubleshooting scenarios
- Provide actionable insights participants can apply immediately
- Deliver a short post-training summary with key takeaways and recommendations
Required Expertise
- Strong experience in Java performance engineering
- Deep understanding of:
- JVM internals
- Garbage Collection tuning
- Profiling and benchmarking
- Hands-on experience with tools such as:
- Java Flight Recorder (JFR)
- Java Mission Control (JMC)
- Profilers like VisualVM, async-profiler, YourKit, or JProfiler
- JMH for microbenchmarking
- Ability to explain complex concepts clearly and troubleshoot issues live
Nice to Have
- Experience tuning low-latency or high-throughput systems
- Familiarity with tail latency analysis
- Experience in production performance troubleshooting
- Knowledge of performance testing strategies and experiment design
Engagement Details
- Duration: 3 consecutive days (21 hours total)
- Format: Remote live training
- Style: Interactive, lab-heavy, practical focus