automation qa for high-load applications

EPAM provides enterprise software products, open source solutions, and technology accelerators through its SolutionsHub and related brands.

• Design, develop, and execute performance and load tests for enterprise-grade applications and services;
• Implement and maintain synthetic monitoring solutions to evaluate system availability and user experience;
• Analyze performance test results and produce clear reports with optimization recommendations;
• Review performance and monitoring code in Java, JavaScript, or TypeScript for compliance with standards;
• Act as a trusted advisor in defining performance testing strategies and monitoring best practices;
• Identify performance bottlenecks across applications, APIs, and infrastructure, and recommend improvements;
• Enhance test environments, automation frameworks, and CI/CD integrations to support continuous testing;
• Ensure test assets and processes remain scalable, maintainable, and aligned with SDLC quality practices.

• Several years of hands-on experience in performance testing or performance engineering roles;
• Proficiency in Playwright (Java, TypeScript) and Grafana k6 (JavaScript) for performance automation;
• Experience integrating tests with CI/CD pipelines using GitLab, Jenkins, or Bitbucket;
• Strong understanding of performance engineering principles, APIs, cloud-native applications, and networking;
• Proven ability to communicate technical results and translate them into business-relevant insights;
• Familiarity with monitoring and observability platforms such as Grafana, Prometheus, and Dynatrace;
• Knowledge of performance metrics, OpenTelemetry concepts, distributed tracing, and E2E analysis;
• Excellent communication, stakeholder collaboration, and problem-solving skills;
• Degree in Computer Science, Software Engineering, or a related discipline;
• Fluent English proficiency (B2 or higher);
• Nice to have: Experience using Exense Step for test execution, background in banking or financial services environments, exposure to container and cloud platforms such as Azure and Kubernetes.

• No conditions specified