About this role
Role Overview We are looking for a skilled Performance Test Engineer with strong experience in designing, developing, and executing performance tests for web applications, APIs, and enterprise systems. The ideal candidate should have hands-on expertise with LoadRunner, k6, Locust, and Python, along with a solid understanding of performance engineering principles, bottleneck analysis, and test automation.
Key Responsibilities
• Design, develop, and execute performance, load, stress, spike, and endurance tests for applications and services.
• Create and maintain performance test scripts using LoadRunner, k6, and Locust.
• Develop and enhance test frameworks and utilities using Python.
• Analyze application performance, identify bottlenecks, and provide tuning recommendations.
• Monitor system behavior during test execution and collect metrics from application, server, database, and network layers.
• Collaborate with developers, QA, DevOps, and business teams to define performance requirements and acceptance criteria.
• Prepare detailed performance test plans, reports, and dashboards with actionable insights.
• Support root cause analysis for performance issues and work with cross-functional teams on remediation.
• Integrate performance testing into CI/CD pipelines for continuous performance validation.
• Ensure adherence to performance testing best practices, standards, and governance.
Required Skills
• Strong hands-on experience with LoadRunner for enterprise performance testing.
• Experience with modern open-source performance testing tools such as k6 and Locust.
• Proficiency in Python for scripting, automation, and custom test framework development.
• Good understanding of performance testing concepts: load, stress, spike, soak/endurance, and scalability testing.
• Experience testing REST APIs, web applications, and microservices.
• Knowledge of application monitoring and observability tools such as Dynatrace, AppDynamics, Splunk, Grafana, Prometheus, or New Relic.
• Familiarity with SQL and database performance analysis.
• Understanding of cloud environments such as AWS, Azure, or GCP.
• Experience with CI/CD tools like Jenkins, GitLab CI, or Azure DevOps.
• Strong analytical and troubleshooting skills.
Preferred Qualifications
• Experience in performance engineering for distributed systems and microservices architecture.
• Knowledge of JavaScript/TypeScript for k6 scripting.
• Experience with containerized environments such as Docker and Kubernetes.
• Familiarity with Linux/Unix commands and shell scripting.
• Exposure to Agile/Scrum development methodologies.
• Certification in performance testing tools or cloud technologies is a plus.
Education and Experience
• 8+ years of experience in performance testing and engineering.
• Proven experience in performance analysis, reporting, and stakeholder communication.
Weekly Hours: 40 Time Type: Regular Location: IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.