Performance Engineer

JMeter
k6
BlazeMeter
Hands-on experience with AI-assisted or AI-powered engineering tools used in performance analysis, test automation, observability, or operational intelligence.
Strong understanding of:
system architecture
distributed systems
microservices
APIs
databases
caching
messaging systems
cloud-native platforms
Experience analyzing performance metrics across application, infrastructure, and database layers.
Proficiency in one or more scripting/programming languages such as Python, Java, JavaScript, Groovy, or Shell.
Experience with monitoring/observability tools such as:
Datadog
Splunk
Grafana
AppDynamics
Familiarity with CI/CD and DevOps tools
Strong analytical, troubleshooting, and communication skills
What are the top 3 skills required for this role:

Agentic AI
Performance Engineering
Jmeter and Appdynamics
Years of Experience:

8-10 Years of Experience

Required Local candidates and Hybrid position.
This role focuses on performance engineering and performance testing of enterprise applications, microservices, APIs, and cloud-native systems. The engineer will design and execute load, stress, endurance, and scalability tests using tools like JMeter, k6, and BlazeMeter, analyze application performance bottlenecks, leverage observability tools such as AppDynamics and Datadog, and use AI-assisted performance engineering tools to improve system reliability and performance.
Mandatory Skills:
Agentic AI
Performance Engineering
JMeter + AppDynamics
k6
BlazeMeter
8-10+ Years Performance Engineering Experience