Design, execute, and analyze performance tests to improve system scalability and efficiency. Collaborate with engineering and DevOps teams to identify bottlenecks and optimize system performance. Develop and implement performance test plans, scenarios, and workloads using various tools and technologies.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!
This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.
“Beware of scams. S3 never asks for money during its onboarding process.”
Job Title: Stress and Performance Tester
Contract Length: 24+ Month contract
Location: Charlotte, NC 28262/ Irving, TX / Chandler, AZ
Hybrid (3 days on site/ 2 days remote)
Pay: 73 per hr on W2
This role focuses on performance engineering across distributed systems. The engineer will design, execute, and analyze performance, load, and capacity tests while working closely with engineering and DevOps teams to improve scalability and system efficiency.
Key Responsibilities
Test Strategy & Execution
- Design, develop, and execute performance test plans, scenarios, and workloads
- Build, maintain, and customize test scripts to simulate real-world traffic and system behavior
Performance Monitoring
- Monitor system health using observability tools
- Identify constraints and performance degradation patterns
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Analysis & Troubleshooting
- Identify bottlenecks and isolate root causes
- Provide clear, actionable recommendations
Service Virtualization
- Design and implement stubbed or virtualized services
- Enable controlled and repeatable testing environments
Collaboration
- Work with developers, architects, and platform teams
- Resolve performance issues and improve system design
Requirement Definition
- Define and validate performance benchmarks including SLAs, response times, and concurrency limits
Core Responsibilities (Additional)
- Design and execute performance, load, and capacity tests
- Build and enhance scripts using LoadRunner and Postman
- Analyze microservices performance in Kubernetes/OpenShift environments
- Monitor systems using Splunk, SPLOC, Grafana, and AppDynamics
- Perform root cause analysis across application, infrastructure, and network layers
- Evaluate JVM performance (garbage collection, CPU, memory, heap, threads)
- Develop service virtualization (stubs/mocks)
- Test event-driven systems using Kafka and Redis
- Contribute to CI/CD performance engineering and shift-left practices
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Technical Requirements
- Experience with performance testing tools
- Experience testing RESTful and SOAP APIs and distributed systems
- Understanding of Kubernetes/OpenShift (OCP)
- Experience with cloud-based microservices architectures
- Experience with observability tools (Splunk, SPLOC, Grafana, AppDynamics)
- Knowledge of JVM performance tuning and memory management
- Experience with service virtualization
- Scripting/programming experience (C, Java, Python, or similar)
Desired Qualifications
- Experience with Kafka
- Experience with Redis
- Experience integrating performance testing into CI/CD pipelines
- Understanding of API gateways and middleware
- Knowledge of network concepts (latency, proxies, load balancing)
- Experience troubleshooting across multiple system layers
- Experience in regulated environments
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Soft Skills
- Strong analytical and critical thinking ability
- Ability to isolate and resolve issues quickly
- Clear communication of technical findings
- Self-driven and able to work with minimal oversight
- Ability to operate in fast-paced environments
- Strong ownership and accountability
Job Expectations
- Own performance testing efforts end-to-end
- Deliver data-driven insights and recommendations
- Identify and escalate risks early with mitigation strategies
- Troubleshoot complex, multi-layered system issues
- Maintain documentation for testing approaches and results
- Improve performance engineering practices
- Ensure performance is integrated into development lifecycle
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