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Why hire performance QA engineers from DeviQA?
Engineers who turn performance data into clear, actionable decisions.
Only senior and middle QA engineers.
Test leads with 8-12 years of experience in QA management.
Average tester’s work expertise of 6 years.
You own all IP we create from day 1.
Transparent pricing, no hidden gotchas.
Flexible cooperation models.
Proficiency in written and spoken English.
14
Engineers locations
3+
Years tenure
4.4%
Turnover rate
3-7
Years is an average project lifetime
DeviQA’s hire performance QA engineers’ competencies you can rely on
Technical performance competencies
Designing and running load, stress, and endurance tests
Building stable performance test frameworks (JMeter, Gatling, Locust, k6)
Modeling realistic user behavior and traffic patterns
Identifying backend, DB, and microservices bottlenecks
Correlating test data with system metrics (CPU, memory, GC, DB locks)
Integrating performance tests into CI/CD pipelines
Monitoring systems with Grafana, Prometheus, ELK, Datadog
Troubleshooting performance issues using logs, traces, and profilers
Delivery & collaboration competencies
Creating clear, practical performance testing strategies
Communicating risks and findings in simple, actionable terms
Coordinating investigations with DevOps, backend, and architects
Turning performance data into concrete optimization steps
Aligning performance tests with release plans and business flows
Maintaining clean reporting, dashboards, and documentation
Ensuring stable performance regressions across releases
DeviQA’s AI advantage
At DeviQA, we use AI to make testing smarter and simpler. Our ecosystem is built to deliver faster, smarter, and more cost-efficient results — so your team can do more in less time.
DeviQA AI ecosystem
AI-powered IDE assistant
Reduces test script writing time
QA companion
Provides suggestions for test optimization and addresses gaps
Automated code review
Flags unused variables, improper loops, and other common errors
AI for API testing in Postman
Streamlines API test case creation and response validation
Features
Test case creation
Code review
Exploratory planning
Log analysis
without AI
6 hrs
3 hrs
2 hrs
2 hrs
with DeviQA AI
4 hrs (33% saved)
2 hrs (33% saved)
45 min (60% saved)
1 hr (50% saved)
Hire performance QA engineers that help you scale without slowdowns.
Choose your cooperation model
Dedicated QA team
A fully managed performance QA unit that takes end-to-end ownership of performance testing and works as a long-term extension of your engineering team.
Best for:
Full ownership of performance testing
Stable, predictable capacity
Mature reporting and communication flow
Optimized delivery across releases
QA staff augmentation
Individual performance QA engineers for hire who integrate into your team and strengthen your existing performance testing workflow without changing your processes.
Best for:
Fast onboarding into your environment
Flexible scaling up or down
Direct control over workload and priorities
Immediate boost to your performance testing capacity
Global healthcare giant
90%
Test coverage
1.6k+
Test cases created
X18
Faster regression testing run
Solution for managing payments
12
Years of cooperation
100%
Covered performance
2x
Faster regression testing time
How to hire performance QA engineers from DeviQA
We keep the flow straightforward so you can strengthen your product’s performance and stability without slowing the roadmap.
Share your goals
Tell us about your architecture, traffic patterns, and performance priorities.
Select the cooperation model
Choose an engineer who joins your team or a dedicated setup that manages performance testing end to end.
Interview and approve your engineers
Meet experienced specialists and choose the one who fits your system and workflow.
Start working together
Your engineer integrates quickly, works with developers and DevOps, and takes ownership of performance testing from day one.
Sample profiles of our performance QA engineers for hire
Oleksandr
Senior Performance QA Engineer
8+ years of experience
Senior Performance QA Engineer running load and stress testing for scalable systems.
SENIOR PERFORMANCE QA ENGINEER
Designed load and stress testing scenarios for microservices processing millions of daily requests
Identified and resolved CPU, memory, and DB lock bottlenecks, improving system stability by 40%
Built scalable JMeter and k6 frameworks integrated into CI/CD pipelines
Created real-world traffic models using concurrency, ramp-up, and spike patterns
Established performance SLAs for response time, throughput, and latency
PERFORMANCE TEST ENGINEER
Ran endurance tests to detect memory leaks and long-running degradation
Analyzed logs and traces using Grafana, Kibana, and Datadog
Modeled peak-hour loads for international SaaS clients
Correlated backend metrics with test results for accurate root-cause diagnostics
Built dashboards to monitor system health under load
QA ENGINEER (BACKEND & INTEGRATION)
Validated API workflows and data flows across SQL/NoSQL databases
Worked with DevOps on environment readiness and stable test data
Performed integration and regression testing for performance-sensitive services
Reproduced backend failures using logs, mocks, and controlled scenarios
Ensured clean documentation and traceability across releases
B.S. in Computer Science
ISTQB Foundation
Advanced training in performance engineering
Performance tools:
JMeter, Gatling, k6, Locust
Monitoring:
Grafana, Prometheus, Kibana, Datadog
CI/CD:
Jenkins, GitLab CI, GitHub Actions
Databases:
PostgreSQL, MySQL, Redis
Tools:
Jira, TestRail, ELK Stack
Load, stress, endurance testing
Bottleneck and root-cause analysis
Performance diagnostics using metrics & logs
Scalable framework design
Performance SLAs and reporting
Cross-team collaboration with Dev & DevOps
Dmytro
Lead Performance QA Engineer
11+ years of experience
Lead Performance QA Engineer defining performance strategy and scalability limits.
LEAD PERFORMANCE QA ENGINEER
Defined performance strategy for a payment platform serving 10M+ active users
Improved release predictability by 55% through stable performance regression pipelines
Built scalable Gatling and Locust frameworks used across multiple squads
Introduced performance baselines and alert thresholds for critical services
Led a performance team covering backend, API, caching, and DB testing
PERFORMANCE ENGINEER
Modeled real-traffic behavior across regions, devices, and concurrency patterns
Reduced latency by 30% through targeted backend and DB optimizations
Ran comparative load tests for architecture changes and refactoring
Integrated automated performance checks into CI/CD, enabling early detection
Introduced capacity planning guidelines based on historical patterns
SENIOR QA ENGINEER (SYSTEMS & BACKEND)
Validated complex data processing, messaging queues, and async flows
Performed API contract testing using OpenAPI/Swagger
Collaborated with architects on microservices design and load impact
Conducted deep log and trace analysis using ELK and New Relic
Ensured stable staging and performance environments
M.S. in Software Engineering
Certification in Performance Engineering
Courses in load modeling and observability
Performance tools:
Gatling, Locust, k6, JMeter
Monitoring:
New Relic, Datadog, Grafana, Prometheus
CI/CD:
Azure DevOps, Jenkins, GitLab CI
Databases:
MySQL, MongoDB, Snowflake
Tools:
Splunk, ELK Stack, JMeter Plugins
Performance strategy and planning
Load modeling and scalability analysis
End-to-end system performance diagnostics
CI/CD-integrated performance testing
Cross-team leadership and reporting
Release readiness and long-term performance control
Hire performance QA engineers who stop outages before they start.
