Grade: B1 Role starting 27th Apr – 25th Dec (Core Team) – Support across portfolios(Core Team) – Support across portfolios: CRM Salesforce, Web and App supportExperience: 5-8 YearsWe are seeking a highly experienced Performance Test Lead with strong CRM (Salesforce) expertise to drive performance engineering strategy across Salesforce platforms (Service Cloud, Marketing Cloud, Experience Cloud), Web, and Mobile integrations.This role will act as the Single Point of Contact (SPOC) for Performance Testing across multiple portfolios, ensuring quality governance, stakeholder communication, and delivery excellence across CRM, Web, and Mobile platforms.Key ResponsibilitiesLeadership & Portfolio Ownership
- Act as SPOC for Performance Testing across CRM portfolios
- Own end-to-end performance strategy, planning, and execution
- Define and govern NFRs, SLAs, and performance benchmarks
- Lead performance estimations, release readiness, and sign-offs
- Collaborate with Architecture, Business, and Engineering leadershipCRM (Salesforce) Testing Ownership
- Lead performance strategy for Salesforce CRM platforms (Service Cloud / Marketing Cloud / Experience Cloud)
- Validate performance of Salesforce workflows, Apex transactions, batch jobs, and integrations
- Identify and monitor row locks, concurrent Apex limits, API limits, and connection pool timeouts
- Conduct API, UI, and batch performance testing within Salesforce layers
- Validate integration performance between Salesforce, Web, and Mobile systems
- Ensure client-specific customizations meet defined SLAsPerformance Framework & Architecture
- Maintain and enhance distributed JMeter-based performance framework
- Support containerized execution (Docker) and Kubernetes-based scaling if applicable
- Design workload models (load, stress, spike, endurance) aligned to CRM usage patterns
- Define data volume simulations and growth projections
- Integrate performance testing into CI/CD pipelines
- Establish centralized reporting and monitoring mechanismsMigration & Transformation Support
- Define performance strategy for CRM transformation initiatives
- Conduct impact analysis on integrations and downstream systems
- Validate regression performance during major releases or migrations
- Ensure end-to-end journey validation under peak load conditionsTechnical Responsibilities:
- Develop and review JMeter scripts for API, UI, and batch processes
- Perform bottleneck analysis across application, DB, and infrastructure layers
- Monitor Salesforce event logs for performance anomalies
- Analyse throughput, latency, error rates, and concurrency behaviour
- Provide tuning recommendations for Apex, integrations, and database queries
- Support capacity planning and scalability assessmentsQuality Governance & Risk Management
- Establish performance testing standards and best practices
- Drive risk assessments and mitigation strategies
- Ensure alignment of performance coverage with business-critical CRM flows
- Lead defect triage for performance issues and conduct RCA
- Provide executive-level performance reports and insights Required SkillsTechnical Skills
- Strong experience in Salesforce CRM performance testing
- Deep understanding of Salesforce governor limits and event monitoring
- Experience in API, UI, and batch performance testing
- Hands-on expertise in JMeter
- Knowledge of distributed load testing frameworks
- Database performance analysis (locking, indexing, query tuning)
- Experience validating integrations (middleware, APIs)
- CI/CD integration knowledge
- Monitoring tools experience (Splunk, Dynatrace, AppDynamics, etc.)Leadership & Management Skills
- Proven experience leading Performance Engineering teams
- Strong stakeholder and executive communication skills
- Ability to translate performance metrics into business impact
- Experience working in Agile environments
- Strong analytical, decision-making, and risk management skillsNice to Have
- Experience with containerized performance frameworks (Docker/Kubernetes)
- Experience in large-scale CRM transformation programs
- Exposure to cloud-based scalability and capacity modelling
