Job Title:  Consultant | Performance Testing | Bengaluru | Engineering

Job requisition ID ::  93701
Date:  Dec 31, 2025
Location:  Bengaluru
Designation:  Consultant
Entity:  Deloitte Touche Tohmatsu India LLP

Key Responsibilities

  • Requirement Analysis
  • Work with business, functional, and technical teams to identify key business transactions, performance SLAs, and workload models.
  • Translate performance requirements into test objectives and scenarios.
  • Performance Test Strategy & Planning
  • Develop detailed performance test plans, data strategy, and environment setup plans.
  • Identify appropriate tools and frameworks (e.g., LoadRunner, JMeter, Neoload, BlazeMeter, Gatling).
  • Test Script Development
  • Design and develop performance scripts for key transactions and end-to-end flows.
  • Parameterize, correlate, and modularize scripts for maintainability and scalability.
  • Execution & Monitoring
  • Execute performance tests (load, stress, endurance, scalability, and spike tests).
  • Monitor system resources using APM tools (e.g., Dynatrace, AppDynamics, New Relic, Grafana, Kibana).
  • Analysis & Reporting
  • Analyze test results to identify bottlenecks in CPU, memory, database, network, or application layers.
  • Work with development and infrastructure teams to diagnose and resolve performance issues.
  • Prepare detailed performance test reports and recommend tuning measures.
  • Continuous Improvement
  • Contribute to the development of performance testing standards, reusable assets, and knowledge sharing across projects.
  • Stay current on emerging performance engineering trends and tools.

Technical Skills Required

  • Hands-on experience in LoadRunner / Performance Center / JMeter / Neoload (any one mandatory).
  • Strong understanding of HTTP, Web Services (SOAP/REST), databases (SQL), and API performance testing.
  • Familiarity with CI/CD tools (Jenkins, Azure DevOps, GitLab) and integration of performance testing in pipelines.
  • Experience with monitoring and diagnostics tools (Dynatrace, AppDynamics, Grafana, New Relic).
  • Basic knowledge of cloud environments (AWS, Azure, GCP) and performance testing on cloud-native apps.
  • Strong skills in test data design, workload modeling, and result interpretation.

Preferred Skills

  • Knowledge of SAP, Salesforce, Workday, or other enterprise applications performance testing.
  • Familiarity with Kubernetes / Docker and microservices performance engineering.
  • Exposure to performance tuning and capacity planning.
  • Scripting/programming knowledge (Java, Python, or JavaScript).