Job description

We are looking for a highly technical Performance Test Engineer to bridge the gap between development and operations.
In this role, you will champion performance as a continuous process, embedding testing seamlessly into our CI/CD pipelines and writing robust, scalable automated test scripts.
You will work closely with developers and DevOps architects to identify bottlenecks, optimize infrastructure, and ensure our systems deliver blazing-fast experiences at scale.
Key Responsibilities Shift-Left Performance Testing: Integrate performance and load testing directly into the CI/CD pipeline (e.
g., Jenkins, GitLab CI, ArgoCD, etc.
) to catch bottlenecks early in the development lifecycle.
Automated Scripting: Write clean, maintainable, and reusable automated performance test scripts using tools like [e.
g., JMeter, k6, etc.
]. Infrastructure & Monitoring: Collaborate with the DevOps team to maintain Grafana dashboard with perf tests results, to provision test environments as code, and configure deep monitoring/APM tools to analyze system health Bottleneck Analysis: Execute load, stress, endurance, and spike tests, then dive deep into metrics to diagnose CPU, memory, database, and network constraints.
Performance Tuning: Work alongside software engineers to refactor code, optimize database queries, and tune infrastructure (e.
g., Kubernetes, Oracle, APIs, UIs, Mobile, etc.
) to meet strict SLA/SLO requirements.
Test Data Management: Develop automated strategies for generating, masking, and managing large volumes of realistic test data.
Qualifications & Requirements Experience: 5+ years of hands-on experience in performance testing and engineering.
Automation Skills: Proficiency in writing automated test scripts from scratch using object-oriented programming languages such as Java, Python, or Go.
DevOps Mindset: Solid understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (IaC).
Tooling Expertise: Deep familiarity with modern performance testing frameworks (e.
g., JMeter, k6, Gatling, Locust) and APM solutions (e.
g., Grafana, Prometheus, Dynatrace, AppDynamics, New Relic).
Analytical Skills: Ability to analyze complex system architectures, interpret server metrics, and translate data into actionable developer recommendations.
Communication: Strong interpersonal skills to advocate for performance best practices and collaborate seamlessly across cross-functional engineering teams.