Performance Engineer

TEKsystems; United States; Hybrid; USD 90.000 - 103.000; Vollzeit

Zusammenfassung

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

The engineer builds workloads, analyzes JVM and system behavior, and translates findings into recommendations across client, server, gateway, infrastructure, and cloud environments.

Qualifikationen

• 5+ years in performance, scalability, software engineering, or production performance analysis.
• Deep Core Java knowledge including JVM internals and latency.
• Experience building workload generators and automation with Java/Scala/Python/Shell.
• Experience with Linux, databases, app servers, caching, and distributed systems.
• Ability to read source code and diagnose bottlenecks with dumps, logs, and profilers.

Aufgaben

• Plan and deliver performance, scalability, resiliency, and capacity validation for assigned systems.
• Learn architecture, workloads, production behavior, and dependencies.
• Define requirements, workloads, acceptance criteria, and reports with partner teams.
• Build performance test scripts, workload generators, mock services, and automation.
• Run load, stress, endurance, scalability, and resiliency tests.
• Analyze JVM behavior, system resources, databases, logs, and end-to-end latency.
• Recommend and validate improvements to code, configurations, and capacity.

Kenntnisse

JVM tuning

Concurrency

Performance testing

Root cause analysis

Scripting

Ausbildung

Bachelor's degree in CS/Engineering

Tools

JMeter

Gatling

Splunk

Jobbeschreibung

Description

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

The engineer builds workloads and tools, finds code and system bottlenecks, and recommends improvements across client, server, gateway, infrastructure, and cloud environments.

This role requires deep Core Java knowledge and strong diagnostic skills. The engineer reads source code, analyzes JVM and system behavior, and evaluates production traffic patterns. The engineer translates those findings into recommendations for code, configuration, capacity, and system design.

Key Responsibilities

• Responsible for independently planning and delivering performance, scalability, resiliency, and capacity validation for assigned 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 the 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, and open issues clearly.

Required Qualifications

• Bachelors 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. Able to analyze source code and recommend code-level improvements.
• 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.

Preferred Qualifications

• Real-time financial systems(trading) experience is a big plus
• Google Cloud, Kubernetes, or Docker is preferred
• AI-assisted analysis, LLM tools, or intelligent automation
• Usage experience of AI tools with Visual Studio/ Idea IntelliJ is a plus

Skills

• performance test
• java
• gcp

Top Skills Details

• performance test
• java

Additional Skills & Qualifications

• Java Developer OR Site Reliability Engineer
• 5-10+ years Core Java
• Heavy backend/server-side focus

Must-Have Keywords

• JVM tuning
• Thread dumps
• Heap dumps
• Garbage Collection (G1GC, CMS, Parallel GC)
• Memory leak analysis
• JProfiler
• YourKit
• VisualVM
• Flight Recorder
• JMC (Java Mission Control)
• Splunk
• Grafana
• Resiliency
• Circuit Breakers (Hystrix, Resilience4j)
• Load Balancers
• Failover testing
• Chaos engineering
• Distributed systems
• Caching (Redis, Hazelcast, Ignite)

Job Type & Location

This is a Contract position based out of Dallas, TX.

Pay and Benefits

The pay range for this position is $65.00 - $75.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)

Application Deadline

This position is anticipated to close on Oct 30, 2026.

Workplace Type

This is a hybrid position in Dallas,TX.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.