Java Performance Engineer – Latency & Resiliency

TEKsystems

Dallas (TX)

Hybrid

USD 90,000 - 103,000

Full time

7 days ago

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Job summary

TEKsystems is seeking an experienced Performance Engineer to join the Performance Engineering team. This individual-contributor role independently plans and delivers performance initiatives for a Java-based trading platform, with a focus on latency, scalability, reliability, and resiliency.

The engineer builds workloads and tools, identifies bottlenecks across client, server, gateway, and cloud environments, and translates findings into actionable recommendations for code, configuration,

Qualifications

Bachelor's degree in computer science or engineering.
5+ years in performance, scalability, software engineering, or production performance analysis.
Strong experience with performance, scalability, failover, recovery, and resiliency testing.
At least 2 years of hands-on Java development experience.
Deep Core Java knowledge, including JVM internals, concurrency, multithreading, memory, garbage collection, and latency.
Ability to read source code and diagnose bottlenecks with dumps, logs, profilers, metrics, and observability tools.
Experience building workload generators, utilities, mock services, or automation with Java, Scala, Python, shell, JMeter, Gatling, or similar tools.
Strong knowledge of Linux, databases, application servers, caching, connection pools, distributed systems, and networks.
Ability to create workloads, baselines, thresholds, capacity measures, acceptance criteria, SLOs, SLAs, and KPIs.
Ability to provide evidence-based code, configuration, capacity, reliability, and design recommendations.
Good experience in using Splunk, Grafana (or other monitoring tools).
Experience in testing resiliency solutions by updating CircuitBreakers, Shapers, LoadBalancers & Failover configs.
Experience with troubleshooting/diagnosing JVM issues (e.g. thread dumps, garbage collection and memory management).
Understanding of performance best practices, performance key metrics, and statistics.
Ability to manage priorities and work with distributed teams.

Responsibilities

Plan and deliver performance, scalability, resiliency, and capacity validation for systems.
Learn architecture, business flows, dependencies, workloads, and production behavior.
Define requirements, workloads, acceptance criteria, and reports with partner teams.
Build performance test scripts, workload generators, mock services, frameworks, and automation.
Run load, stress, endurance, scalability, failover, recovery, degradation, and resiliency tests.
Analyze source code, JVM behavior, system resources, databases, networks, logs, metrics, and end-to-end latency.
Recommend and validate code, configuration, infrastructure, database, capacity, design, and resiliency improvements (CircuitBreakers, Shapers, LoadBalancers & Failover).
Use production behavior as baseline for workload design, capacity planning, risk analysis, and validation.
Maintain dashboards, reports, diagnostic tools, runbooks, frameworks, and workload libraries.
Evaluate new testing, profiling, observability, and resiliency tools.
Use approved automation and AI tools to improve scripting, analysis, documentation, and diagnostics.
Communicate results, risks, recommendations clearly.