Senior Staff Quality Engineer

indiacareers-symplr; India; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

indiacareers-symplr is seeking a senior Performance Testing Engineer to design and lead comprehensive performance programs across QA, staging, and production environments. You will drive KPI benchmarks, mentor engineers, and promote best practices while collaborating with DevOps and data teams for scalable AI-powered testing solutions.

The role emphasizes hands-on testing with JMeter/LoadRunner/Gatling, cloud and container tech (AWS, Docker, Kubernetes), and integration into CI/CD pipelines to

Qualifications

• 12+ years of performance testing and engineering experience.
• Experience in managing performance teams.
• Proficiency with JMeter, LoadRunner, or Gatling.
• AWS cloud technologies and Docker/Kubernetes experience.
• Strong understanding of web technologies and application architecture.
• CI/CD and DevOps practices experience.
• AI/ML frameworks experience a plus.
• Excellent communication with stakeholders.

Responsibilities

• Lead performance testing initiatives and roadmap delivery.
• Mentor junior QA engineers and foster quality culture.
• Collaborate with cross-functional teams to define KPIs and benchmarks.
• Design scalable testing frameworks for AI/Generative AI apps.
• Analyze performance data and generate reports.
• Integrate performance testing into CI/CD pipelines.
• Monitor and optimize performance across environments.

Skills

Leadership

Performance testing

JMeter/LoadRunner/Gatling

AWS/Docker/Kubernetes

Python/Java/JavaScript

CI/CD/DevOps

Observability tools (Datadog/Dynatrace

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

JMeter

LoadRunner

Gatling

Datadog

Dynatrace

Grafana

AppDynamics

Splunk

Job description

Overview

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.

Duties & Responsibilities

Bachelor’s or Master’s 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

Skills Required

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