Senior Performance TA Engineer

AIDA Recruitment; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

AIDA Recruitment is seeking a Senior Performance Test Engineer to own performance testing across a modern AWS-based microservices platform. You will design and implement scalable testing strategies that achieve reproducible benchmarks and guide release readiness.

Reporting to Quality Engineering leadership, you will work with Platform Engineering, DevX, SDET, and product teams in a remote, Ukraine-based environment.

Qualifications

• 6+ years hands-on in performance testing for cloud-native microservices SaaS.
• Experience with performance testing tools such as k6, Gatling, Locust, or JMeter.
• Hands-on observability with Prometheus, Grafana, Datadog, ELK, or CloudWatch.
• Strong knowledge of AWS: EC2, RDS, S3, ECS, EKS.
• Docker and Kubernetes experience; Python or similar scripting for automation.

Responsibilities

• Design and develop performance test suites for AWS-based microservices.
• Define KPIs, baselines, and thresholds for release readiness.
• Integrate performance testing into CI/CD pipelines with cross-team collaboration.
• Execute load, stress, spike, endurance, and scalability testing.
• Analyze logs and metrics to identify bottlenecks.
• Establish baselines for microservices and legacy apps for long-term benchmarking.
• Investigate production-like issues and perform root cause analysis.
• Provide optimization recommendations for architecture, APIs, databases, and infra.
• Document testing results and trends for stakeholders.

Skills

Performance testing

Cloud-native microservices

Python scripting

CI/CD integration

Observability tooling

AWS services

Docker & Kubernetes

English communication

Tools

k6

Gatling

Locust

JMeter

Prometheus

Grafana

Datadog

ELK Stack

AWS CloudWatch

Docker

Kubernetes

Job description

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: 10:00–19:00Methodology: 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

Reports directly to the Director of Quality Engineering.

Collaborates with Platform Engineering, DevX, SDET, and three parallel Quality Engineering streams: