Performance Test Engineer

Role: Performance Engineer Enterprise Data Platforms / MDM
Location: Remote

Duration: 12+ Months Contract

Interview: video

Candidate must be available today or tomorrow morning for a technical video call with my vendor (Today is preferred)

Role Summary
Seeking a Performance Engineer to lead performance testing and optimization for large-scale enterprise data platforms with strong focus on MDM systems. Responsible for performance strategy, test execution, analysis, and tuning across applications, databases, APIs, and infrastructure layers.

Key Responsibilities

• Design & execute load, stress, endurance, and scalability tests
• Validate performance of MDM and data workflows (ingestion, sync, matching, governance)
• Identify bottlenecks across application, DB, and infrastructure layers
• Build realistic workload models based on production patterns
• Integrate performance testing into CI/CD pipelines
• Partner with architecture & engineering teams for tuning and optimization
• Deliver performance reports aligned with SLAs/NFRs

Required Skills

• Performance testing for enterprise data & MDM platforms
• Strong SQL performance tuning & query optimization
• API & microservices performance testing
• ETL & data pipeline validation
• Observability and APM-based diagnostics

Technical Stack

• Performance Tools: JMeter, LoadRunner, NeoLoad, Gatling
• MDM Platforms: Informatica MDM, STIBO, Reltio, IBM InfoSphere MDM
• Databases: Relational & NoSQL, SQL tuning
• Monitoring/APM: Dynatrace, AppDynamics, Splunk, Grafana, Prometheus
• Cloud: AWS / Azure / Google Cloud Platform
• Containers: Docker, Kubernetes
• Architecture: Microservices, APIs, Enterprise Data Platforms