Cloud Performance Engineer

Role : Cloud Performance Engineer

Location : Concord, CA /Charlotte NC . (100% onsite)

Required Qualifications:

7+ years of Experience in Performance Testing and Engineering

Desired Qualifications:

Hands on experience with Thread Dumps, Heap Dumps Analysis (JMC/JFR experience a

big plus).

Ability to develop performance scripts independently using LoadRunner, ALM/Performance

Center or any other newer/older load testing tools.

Ability to design, execute and analyze different Load, Stress, Break, Soak and Chaos testing scenarios.

Hands-on use of APM & other monitoring tools (e.g., AppDynamics, Splunk, Elastic, Grafana)

Understanding AI concepts including LLMs, RAG, Vector databases.

Understanding of system internals and cloud infrastructure (AWS, Google Cloud Platform, or Azure).

Solid programming skills in Python and Python libraries (e.g., Flask, Stream lit)

Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Familiarity with model optimization techniques (e.g., quantization, pruning, batching).

Having work experience in ‘Service Virtualization’

Have a complete understanding with hands-on experience in all aspects of Performance Testing and Engineering duties

Ability to determine bottlenecks using tool & analysis when facing application performance issues and reporting RCA to stakeholders.

Excellent communication skills