We are looking for a Senior Performance Test Engineer to join our customer's engineering team and take ownership of performance testing across a modern AWS-based microservices platform.
Location: Remote ( Ukraine)
Contract: B2B, Full-time (160 hours/month)
Working Hours: 10:00–19:00
Methodology: Scrum
In this role, you will design and implement scalable performance testing strategies, establish performance benchmarks, and work closely with Platform Engineering, DevX, SDET, and product teams to ensure applications remain reliable, scalable, and production-ready. You'll play a key role in identifying bottlenecks, analyzing system behavior, and driving performance improvements across the platform.
Responsibilities
- Design and develop comprehensive performance test suites for microservices and shared platform components running on AWS.
- Define performance KPIs, baselines, and acceptance thresholds to support release readiness and platform reliability.
- Integrate performance testing into CI/CD pipelines and collaborate with DevX, Platform Engineering, SDET, and product teams.
- Execute non-functional testing, including load, stress, spike, endurance, and scalability testing.
- Analyze application logs, metrics, and observability data to identify performance bottlenecks and system degradations.
- Establish and maintain performance baselines for both microservices and legacy applications to enable long-term benchmarking.
- Investigate production-like issues and customer-reported performance problems, performing root cause analysis across applications, APIs, databases, and infrastructure.
- Provide recommendations to optimize application architecture, APIs, databases, and infrastructure.
- Document testing results, trends, performance improvements, and recommendations for technical and business stakeholders.
Requirements
- 6+ years of hands-on experience in performance testing for cloud-native, microservices-based SaaS applications.
- Strong experience with performance testing tools such as k6, Gatling, Locust, or JMeter.
- Hands-on experience with observability and monitoring platforms, including Prometheus, Grafana, Datadog, ELK Stack, or AWS CloudWatch.
- Solid knowledge of AWS services, including EC2, RDS, S3, ECS, and EKS.
- Experience working with Docker and Kubernetes.
- Proficiency in Python (or similar scripting languages) for automation, performance analysis, and tooling.
- Strong analytical and troubleshooting skills with experience in root cause analysis, statistical evaluation, forecasting, and trend analysis.
- Experience collaborating with distributed engineering teams in remote-first environments.
- Excellent written and spoken English.
- Czech language skills are considered an advantage.
Team & Project
- Active product development.
- Agile Scrum environment.
- Reports directly to the Director of Quality Engineering.
- Collaborates with Platform Engineering, DevX, SDET, and three parallel Quality Engineering streams:
- Data QA
- AI QA
- TA QA
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