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Job Description:

Analyst - Performance Engineering

What will you do?

The Analyst – Performance Engineering will execute performance testing activities for assigned applications, working with the Performance Engineering Lead and cross-functional teams. Responsibilities include understanding non-functional requirements (NFRs), contributing to the test approach and workload model, developing and maintaining scripts, executing tests, analyzing application and infrastructure metrics, and reporting findings against agreed performance criteria. The role will support bottleneck investigation, remediation validation, and continuous improvement through reusable assets and automation. Overall strategy and release approval remain with the designated leads and decisionmakers.

Your scope of work / key responsibilities:

• Collaborate with stakeholders to understand business-critical journeys, application architecture, expected volumes, and agreed NFRs.
• Contribute to performance test plans and workload models, including transaction mix, concurrency, throughput, pacing, think time, and test duration.
• Develop, debug, and maintain reusable performance test scripts with correlation, parameterization, assertions, and appropriate transaction definitions.
• Prepare and validate test data, application access, environment readiness, and monitoring prerequisites before execution, following approved test-data and security practices.
• Execute baseline, load, stress, spike, and endurance tests as required by the agreed test approach.
• Analyze response-time percentiles, throughput, error rates, and resource utilization, compare steady-state results with agreed thresholds and previous baselines to identify regressions and trends.
• Produce clear test reports covering workload, environment, results, limitations, risks, and recommendations; communicate progress and blockers promptly to stakeholders.
• Document performance defects with supporting evidence, track remediation with the relevant teams, and validate fixes through retesting.
• Use application performance monitoring (APM), infrastructure metrics, and logs to investigate bottlenecks with developers, system engineers, database administrators, architects, and application owners; contribute evidence-based improvement recommendations.
• Maintain reusable test assets and contribute to scripting, reporting, and process automation; recommend and implement agreed improvements to testing quality and efficiency.

Key Qualifications and experience:

• Bachelor’s degree or diploma in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
• 3–5 years of relevant hands-on experience in performance testing or performance engineering, including scripting, execution, monitoring, and results analysis.

Essential Technical Skills

• Hands-on experience with LoadRunner Enterprise or LoadRunner Professional, including VuGen scripting, scenario configuration, test execution, and results analysis.
• Practical knowledge of correlation, parameterization, pacing, think time, assertions, transaction definitions, and script troubleshooting.
• Understanding of HTTP/HTTPS, REST APIs, and three-tier or multi-tier application architecture.
• Experience with at least one relevant APM tool, such as CA APM, AppDynamics, or Dynatrace, or a log-analysis and monitoring tool such as Splunk; proficiency in every listed product is not required.
• Ability to interpret response-time percentiles, throughput, error rates, concurrency, and resource utilization, and relate test results to agreed NFRs.
• Working knowledge of a relevant scripting language and basic operating-system, network, and database performance concepts.
• Strong analytical problem-solving, documentation, and stakeholder communication skills, with the ability to work effectively across teams.

Preferred Skills

• Exposure to Java-based application diagnostics, cloud-based applications, or distributed services.
• Experience with additional load-testing tools relevant to the application landscape.
• Exposure to Git, continuous integration and continuous delivery (CI/CD), and performance-testing or reporting automation.
• Familiarity with project lifecycles, incident, change, and problem-management processes, and service-level agreements (SLAs), in support of testing and defect investigation.
• Experience using approved AI-assisted development tools, such as GitHub Copilot, with human validation and adherence to security and confidentiality requirements.

Primary Location: Gurugram

Schedule: Full Time

Job Category:

Posting End Date: