Performance Test Engineer #26-23967

Job summary

Plan, script, and execute large-scale performance tests using production-like workload models, then analyze results to identify bottlenecks and assess application stability, scalability, and reliability. Collaborate with technical and business teams to troubleshoot issues, recommend and implement performance improvements, and support ongoing performance engineering initiatives.

Job details

2 days in office, 3 from Home Duration: 12 Months Contract (With Possible Extension/Conversion) Position Overview We are seeking an experienced Performance Engineer with strong expertise in end-to-end performance engineering and testing. The successful candidate will be responsible for evaluating, troubleshooting, tuning, and optimizing application performance across enterprise environments. Key Responsibilities Perform end-to-end Performance Engineering activities, including: Requirement Gathering Performance Test Planning Test Scripting Test Execution Performance Analysis Troubleshooting Performance Tuning Reporting Develop and execute performance testing scripts and scenarios. Define workload models and simulate production-like performance scenarios. Execute large-scale performance tests and analyze results. Identify performance bottlenecks and provide actionable recommendations. Evaluate application stability, scalability, reliability, and performance. Analyze application, database, and infrastructure performance and recommend optimization opportunities. Work with developers, architects, operations teams, and business stakeholders to analyze performance results and drive improvements. Contribute to performance engineering strategies and continuous optimization initiatives. Must-Have Skills: JMeter Strong hands-on experience with JMeter. Ability to develop and execute performance testing scripts and scenarios. Experience enhancing and customizing scripts using advanced scripting techniques. Dynatrace Strong expertise with Dynatrace for performance monitoring and analysis. Ability to perform deep-dive performance analysis and identify application bottlenecks. Experience providing actionable insights to diagnose and resolve performance issues. Performance Testing & Engineering Strong experience in performance testing and engineering. Experience defining workload models and production-like test scenarios. Hands-on experience executing large-scale performance tests. Strong ability to analyze test results and identify performance issues. Understanding of application stability, scalability, and reliability. Non-Functional Requirements & Architecture Solid understanding of Non-Functional Requirements (NFRs). Good understanding of system architecture and technology stacks. Ability to ensure comprehensive performance coverage across applications and environments. Performance Tuning & Optimization Experience tuning and optimizing: Applications Databases Infrastructure components Ability to identify performance bottlenecks and implement optimization strategies. Nice-to-Have Skills: Splunk, Log Analysis & Datadog Experience with Splunk, Datadog, and log analysis. Ability to use observability and log data to diagnose complex performance issues. SRE / Observability Exposure to Site Reliability Engineering (SRE) practices. Experience with Chaos Engineering. Experience monitoring production workloads and observability. Understanding of transitioning performance engineering practices toward an SRE model. Test Data & Service Virtualization Experience defining test data strategies. Ability to collaborate with Test Data Management (TDM) teams. Experience developing virtual services using Mountebank for performance testing. Client-Side & End-User Experience Experience with tools and techniques used to measure and improve client-side and end-user performance. Collaboration & Communication: Work effectively with developers, architects, operations teams, and business stakeholders. Communicate performance test results and recommendations clearly. Provide actionable recommendations to improve application performance. Demonstrate strong analytical and problem-solving abilities. Focus on delivering measurable performance improvements. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

What you’ll do

Plan, script, and execute large-scale performance tests using production-like workload models, then analyze results to identify bottlenecks and assess application stability, scalability, and reliability. Collaborate with technical and business teams to troubleshoot issues, recommend and implement performance improvements, and support ongoing performance engineering initiatives.

Requirements

Requires strong hands-on experience with JMeter and Dynatrace, including advanced test scripting, large-scale performance testing, and deep-dive performance analysis. Candidates should understand non-functional requirements, system architecture, and optimization across applications, databases, and infrastructure; experience with Splunk, Datadog, SRE, chaos engineering, service virtualization, or client-side performance is an advantage.

Listed skills

• Splunk · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• JMeter
• Dynatrace
• Performance Testing
• Performance Engineering
• Performance Analysis
• Performance Tuning
• Workload Modeling
• Test Scripting
• Non-Functional Requirements
• System Architecture
• Database Optimization
• Infrastructure Optimization
• Splunk
• Datadog
• Log Analysis
• Observability

Job areas

• Technology
• Software
• Engineering
• Data & Analytics

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