Java Performance Engineer – SLOs, Tracing & JVM Tuning

REALIGN LLC; St. Louis (MO); On-site; USD 110,000 - 140,000; Full time

Job summary

REALIGN LLC in St. Louis, MO is seeking a Performance Tester with Java experience to design and drive performance testing across distributed services, defining SLOs and latency targets.

You will implement tracing with Dynatrace, AWS X-Ray, and related tools, analyze heap/thread dumps, and lead root-cause analysis of incidents in production and pre-production. The role requires deep knowledge of Java, Spring Boot, and cloud-based architectures, with hands-on performance modeling across AWS, PCF,

Qualifications

• Experience defining SLOs, performance budgets, and latency targets across services.
• Proficient in Java performance tuning and JVM internals.
• Experience with distributed tracing and performance analysis tools (Dynatrace, AWS X‑Ray).

Responsibilities

• Define service-level objectives (SLOs), performance budgets, and latency/throughput targets across services.
• Architect and champion comprehensive distributed tracing strategies (Dynatrace, AWS X-Ray, etc.).
• Analyse application, platform, and cloud behaviour using deep-dive techniques (heap/thread dumps, flame graphs, GC logs, network traces).
• Review service and system architectures for performance risks (synchronous hops, dependencies, pool misconfigurations).
• Conduct and lead root-cause analysis for performance incidents in production and pre-production environments.
• Develop capacity models and performance baselines for services across cloud environments.

Skills

Java

Performance testing

Distributed tracing

Tools

Dynatrace

AWS X-Ray

PCF

Kubernetes

Docker

Nginx

Job description

REALIGN LLC in St. Louis, MO is seeking a Performance Tester with Java experience to design and drive performance testing across distributed services, defining SLOs and latency targets.

You will implement tracing with Dynatrace, AWS X-Ray, and related tools, analyze heap/thread dumps, and lead root-cause analysis of incidents in production and pre-production. The role requires deep knowledge of Java, Spring Boot, and cloud-based architectures, with hands-on performance modeling across AWS, PCF,