Performance Engineer

Ascendion

Bengaluru

On-site

INR 900,000 - 1,400,000

Full time

4 days ago
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Job summary

Ascendion in Bengaluru is seeking a Performance Test Engineer to design and execute performance testing strategies for enterprise web apps, APIs, and microservices. You will collaborate with DevOps and QA to optimize performance and scalability, using JMeter, APM tools, and AI-driven automation.

The role emphasizes analyzing results, identifying bottlenecks, and delivering detailed reports, with a focus on CI/CD integration and cloud environments.

Qualifications

  • Strong hands-on experience in Performance Testing and Performance Engineering for enterprise web applications, APIs, and microservices.
  • Proven expertise in Apache JMeter, including scripting, parameterization, correlation, workload modelling, distributed testing, and Groovy/JSR223 scripting.
  • Solid understanding of Load, Stress, Spike, Endurance, Scalability, Capacity, and Volume Testing methodologies.
  • Hands-on experience with APM tools such as New Relic, AWS cloud monitoring ,Dynatrace/AppDynamics, Grafana, or Prometheus.
  • Experience analyzing application, database, and infrastructure metrics to identify performance bottlenecks.
  • Familiarity with SQL, cloud platforms (AWS/Azure/GCP), REST APIs, microservices, and CI/CD tools.
  • Experience using AI agents or Generative AI to accelerate performance test script development and performance analysis is highly desirable.
  • Strong analytical, problem-solving, communication, and collaboration skills.

Responsibilities

  • Design, develop, and execute performance test strategies, test plans, scenarios, and workload models based on business and production requirements.
  • Develop and execute performance test scripts using Apache JMeter
  • Perform Load, Stress, Spike, Endurance, Scalability, and Volume Testing for web applications, APIs, microservices, and cloud/on-premise applications.
  • Monitor application and infrastructure performance using APM tools such as New Relic, AWS cloud monitoring
  • Analyze test results, identify performance bottlenecks, provide optimization recommendations, and prepare detailed performance reports.
  • Collaborate with development, QA, DevOps, database, and infrastructure teams to troubleshoot and resolve performance issues.
  • Integrate performance testing into CI/CD pipelines using Jenkins, GitHub, Azure DevOps, or equivalent tools.
  • Leverage AI agents and Generative AI to automate JMeter script creation, workload generation, performance analysis, bottleneck identification, and report generation.
  • Drive continuous improvements by adopting performance engineering best practices, automation, and AI-assisted testing.

Skills

Performance Testing
JMeter scripting
Load testing
APM tools
CI/CD integration
AI-assisted testing
Analytical thinking

Tools

JMeter
New Relic
Dynatrace
Grafana
Prometheus
Jenkins
GitHub
Azure DevOps
AWS
GCP

Job description

About Ascendion

Ascendion is a leader in AI-powered software engineering, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

About Ascendion

Ascendion is a leader in AI-powered software engineering, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

  • Build the coolest tech for world's leading brands
  • Solve complex problems – and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience
Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About The Role
Key Responsibilities
  • Design, develop, and execute performance test strategies, test plans, scenarios, and workload models based on business and production requirements.
  • Develop and execute performance test scripts using Apache JMeter
  • Perform Load, Stress, Spike, Endurance, Scalability, and Volume Testing for web applications, APIs, microservices, and cloud/on-premise applications.
  • Monitor application and infrastructure performance using APM tools such as New Relic, AWS cloud monitoring
  • Analyze test results, identify performance bottlenecks, provide optimization recommendations, and prepare detailed performance reports.
  • Collaborate with development, QA, DevOps, database, and infrastructure teams to troubleshoot and resolve performance issues.
  • Integrate performance testing into CI/CD pipelines using Jenkins, GitHub, Azure DevOps, or equivalent tools.
  • Leverage AI agents and Generative AI to automate JMeter script creation, workload generation, performance analysis, bottleneck identification, and report generation.
  • Drive continuous improvements by adopting performance engineering best practices, automation, and AI-assisted testing.
Required Skills & Qualifications
  • Strong hands-on experience in Performance Testing and Performance Engineering for enterprise web applications, APIs, and microservices.
  • Proven expertise in Apache JMeter, including scripting, parameterization, correlation, workload modelling, distributed testing, and Groovy/JSR223 scripting.
  • Solid understanding of Load, Stress, Spike, Endurance, Scalability, Capacity, and Volume Testing methodologies.
  • Hands-on experience with APM tools such as New Relic, AWS cloud monitoring ,Dynatrace/AppDynamics, Grafana, or Prometheus.
  • Experience analyzing application, database, and infrastructure metrics to identify performance bottlenecks.
  • Familiarity with SQL, cloud platforms (AWS/Azure/GCP), REST APIs, microservices, and CI/CD tools.
  • Experience using AI agents or Generative AI to accelerate performance test script development and performance analysis is highly desirable.
  • Strong analytical, problem-solving, communication, and collaboration skills.
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