Performance Testing Engineer (DevOps)
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Key skills for this role
About the Role
Integrate performance testing in CI/CD, automate scripts, analyze bottlenecks, and collaborate with teams to optimize system performance and manage test data.
Key Skills for This Role
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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.
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