Senior Staff Performance Engineer

Jedi Software Engineering; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Jedi Software Engineering in Bengaluru is seeking a senior performance testing expert to design, lead, and optimize performance testing across applications. You will drive KPI-based assessments, build scalable frameworks, and mentor junior engineers in a fast-paced, cloud-native environment.

The role requires deep experience with JMeter/LoadRunner/Gatling, AWS, Docker/Kubernetes, and CI/CD, plus strong communication skills to guide stakeholders on performance improvements.

Qualifications

• Bachelors or Masters degree in computer science, Engineering, or a related field.
• 12+ years of experience in performance testing and engineering, with a strong understanding of performance testing methodologies and tools.
• Experience in managing performance teams
• Experience in driving the performance roadmap and deliver the outcomes with high standards
• Proficiency in performance testing tools such as JMeter, LoadRunner, or Gatling.
• Proficiency in programming languages such as Python, Javascript, Java.
• Extensive experience with AWS cloud technologies and containerization (Docker/Kubernetes).
• Strong understanding of web technologies and application architecture
• Experience in Application Monitoring Tools and profiling tools like Datadog, Dynatrace, Grafana, AppDynamics, Splunk.
• Strong experience with CI/CD pipelines and DevOps practices.
• Experience in Applications like ElasticSearch, OpenSearch, Grafana, Kafka, AWS Glue, Sage Maker.
• Hands-on experience with performance test simulations, performance analysis, performance tuning, performance monitoring in a microservices environment
• Hands- on experience in analyzing the performance results - Capture/Analyze/Interpret performance metrics from application, database, OS, and Network.
• Working knowledge of SQL and cloud Databases like MongoDB, Cosmos DB, PostgreSQL
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Strong understanding of data engineering and validation techniques and tools.
• Demonstrated ability to analyze complex systems, identify performance bottlenecks, and provide actionable insights.
• Good understanding of basic DB tuning, application server tuning and common issues around performance and scalability.
• Proven track record of leading performance testing teams and drive initiatives by collaborating effectively with cross-functional teams.
• Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Good understanding of computer networks and networking concepts
• Agile development experience

Responsibilities

• Designing comprehensive performance testing strategies, leading initiatives, and collaborating with cross-functional teams to ensure system reliability, scalability, and responsiveness across applications
• Conduct thorough performance assessments, including load testing, stress testing, and capacity planning, to identify system bottlenecks and areas for improvement.
• Work closely with development and operations teams to Identifying key performance indicators (KPIs) and establishing benchmarks, monitoring solutions, and dashboards that provide real-time insights into system performance.
• Work with Performance Architect and implement scalable testing frameworks for performance, and data validation, focusing on AI and Generative AI applications.
• Lead the troubleshooting and resolution of complex performance-related issues in QA, Staging, Pre-production and/or Production environments.
• Provide guidance and mentorship to junior QA engineers, fostering a culture of quality and continuous learning.
• Utilize industry-standard performance testing tools (e.g., JMeter, LoadRunner, Gatling) to simulate real-world scenarios and measure system performance, staying current with emerging tools and technologies in the performance testing space.
• Collaborate with development, QA, and operations teams to integrate performance testing into the CI/CD processes, providing guidance and support to team members on performance testing best practices.
• Analyze the CPU Utilization, Memory usage, Network usage, Garbage Collection to verify the performance of the applications.
• Generate performance graphs, session reports, and other related documentation required for validation and analysis.
• Create comprehensive performance test documentation, including test plans, test scripts, and performance analysis reports, effectively communicating performance testing results and recommendations to technical and non-technical stakeholders.

Skills

Performance testing

Leadership

CI/CD

Agile

Troubleshooting

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

JMeter

LoadRunner

Gatling

Python

Java

JavaScript

AWS

Docker

Kubernetes

Datadog

Dynatrace

Grafana

AppDynamics

Splunk

OpenSearch

Elasticsearch

Kafka

SageMaker

TensorFlow

PyTorch

SQL

MongoDB

PostgreSQL

Job description

Key Responsibilities:

• Designing comprehensive performance testing strategies, leading initiatives, and collaborating with cross-functional teams to ensure system reliability, scalability, and responsiveness across applications
• Conduct thorough performance assessments, including load testing, stress testing, and capacity planning, to identify system bottlenecks and areas for improvement.
• Work closely with development and operations teams to Identifying key performance indicators (KPIs) and establishing benchmarks, monitoring solutions, and dashboards that provide real-time insights into system performance.
• Work with Performance Architect and implement scalable testing frameworks for performance, and data validation, focusing on AI and Generative AI applications.
• Lead the troubleshooting and resolution of complex performance-related issues in QA, Staging, Pre-production and/or Production environments.
• Provide guidance and mentorship to junior QA engineers, fostering a culture of quality and continuous learning.
• Utilize industry-standard performance testing tools (e.g., JMeter, LoadRunner, Gatling) to simulate real-world scenarios and measure system performance, staying current with emerging tools and technologies in the performance testing space.
• Collaborate with development, QA, and operations teams to integrate performance testing into the continuous integration and continuous deployment (CI/CD) processes, providing guidance and support to team members on performance testing best practices.
• Analyze the CPU Utilization, Memory usage, Network usage, Garbage Collection to verify the performance of the applications.
• Generate performance graphs, session reports, and other related documentation required for validation and analysis.
• Create comprehensive performance test documentation, including test plans, test scripts, and performance analysis reports, effectively communicating performance testing results and recommendations to technical and non-technical stakeholders.

Qualifications

• Bachelors or Masters degree in computer science, Engineering, or a related field.
• 12+ years of experience in performance testing and engineering, with a strong understanding of performance testing methodologies and tools.
• Experience in managing performance teams
• Experience in driving the performance roadmap and deliver the outcomes with high standards
• Proficiency in performance testing tools such as JMeter, LoadRunner, or Gatling.
• Proficiency in programming languages such as Python, Javascript, Java.
• Extensive experience with AWS cloud technologies and containerization (Docker/Kubernetes).
• Strong understanding of web technologies and application architecture
• Experience in Application Monitoring Tools and profiling tools like Datadog, Dynatrace, Grafana, AppDynamics, Splunk.
• Strong experience with CI/CD pipelines and DevOps practices.
• Experience in Applications like ElasticSearch, OpenSearch, Grafana, Kafka, AWS Glue, Sage Maker.
• Hands-on experience with performance test simulations, performance analysis, performance tuning, performance monitoring in a microservices environment
• Hands- on experience in analyzing the performance results - Capture/Analyze/Interpret performance metrics from application, database, OS, and Network.
• Working knowledge of SQL and cloud Databases like MongoDB, Cosmos DB, PostgreSQL
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Strong understanding of data engineering and validation techniques and tools.
• Demonstrated ability to analyze complex systems, identify performance bottlenecks, and provide actionable insights.
• Good understanding of basic DB tuning, application server tuning and common issues around performance and scalability.
• Proven track record of leading performance testing teams and drive initiatives by collaborating effectively with cross-functional teams.
• Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Good understanding of computer networks and networking concepts
• Agile development experience