Lead Performance Testing Engineering

Responsibilities:

• Lead performance testing engineering initiatives in a dynamic Agile environment.
• Communicate effectively with client stakeholders and manage expectations in a multi-vendor setup.
• Coordinate onshore and offshore teams, manage demand forecasting, and oversee demand pipeline.
• Drive innovation and modernization of performance engineering using AI and GenAI-assisted tools.
• Develop comprehensive performance test strategies, processes, and methodologies in collaboration with stakeholders.
• Define standards, guidelines, and continuously improve performance engineering practices.
• Create detailed workload models for average, peak, stress, and scalability testing scenarios.
• Implement CI/CD performance gating processes and establish baseline response times.
• Monitor performance trends and identify degradation proactively.
• Design, execute, and analyze performance test scripts for web applications, APIs, and databases, including cloud-based systems.
• Build and maintain custom dashboards using APM tools to analyze system behavior under load.
• Perform root cause analysis to identify performance bottlenecks using profiling tools and log analysis.
• Prepare and present performance testing reports with key findings, metrics, and recommendations.
• Apply knowledge of web technologies, protocols, and performance optimization techniques.
• Ensure alignment of performance testing with security considerations such as SSL/TLS and secure APIs.
• Lead and mentor global teams to deliver high-quality performance testing outcomes.

Required Qualifications:

• Minimum 5 years of experience in performance testing.
• At least 3 years of experience in performance engineering with focus on analysis and recommendations.
• Strong hands-on experience with performance testing tools, especially JMeter.
• Experience with APM tools such as Dynatrace, AWS CloudWatch, or equivalent.
• Experience with database monitoring tools such as SolarWinds DPA or similar.
• Proficiency in log analysis tools such as ELK (Elasticsearch, Logstash, Kibana) or Splunk.
• Experience in validating Operational Acceptance Testing (OAT), including failover and disaster recovery scenarios.
• Understanding of RPO/RTO, system stability, and reliability testing including chaos testing.
• Exposure to Site Reliability Engineering (SRE) concepts.
• Strong understanding of web protocols (HTTP/HTTPS, TCP/IP) and performance optimization techniques.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications:

• Experience working in AWS or other cloud platforms.
• Hands-on experience with Dynatrace, DataDog, or AppDynamics.
• Experience building and training high-performing teams.
• Strong analytical and problem-solving skills with attention to detail.