Staff QA (Infra Testing, Performance)
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Staff QA (Infra Testing, Performance)
- JR-160961
- 杂交种
- Bengaluru
- Technology
- Full time
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
Job Summary
We are seeking a Staff Engineer – Performance Engineering, Test Automation & Test Data Engineering to lead end-to-end quality engineering capabilities, including:
Performance & load engineering
Test environment automation
Deep system troubleshooting
Test data management and synthetic data engineering
This role is pivotal in ensuring production-like validation environments, realistic data simulation, performance testing/bench marking and scalable system validation. You will work across engineering, platform, and SRE teams to deliver high-quality, resilient, and performant systems at scale.
Responsibilities
Performance Engineering & Load Modelling
Design realistic workload models based on production usage patterns
Define throughput, concurrency, and scalability benchmarks
Conduct capacity planning and performance benchmarking
Test Environment Engineering & Automation
Build and manage production-like test environments
Automate environment provisioning using Infrastructure-as-Code (IaC)
Enable self-service, on-demand environments for teams
Test Data Management (TDM) & Engineering
Define and implement enterprise-grade Test Data Management strategy
Manage test data lifecycle including creation, refresh, masking, and archival
Ensure high-quality, compliant, and production-representative datasets
Enable data versioning and reusability across test cycles
AI-Driven Test Data Creation & Synthetic Data Engineering
Leverage AI/GenAI tools to generate intelligent, scenario-based test data
Design and implement synthetic data generation frameworks for:
-Edge cases and negative scenarios
-Large-scale performance datasets
-Privacy-safe testing
Ensure synthetic data maintains statistical similarity to production data
Data Replication, Masking & Environment Data Strategy
Implement secure data replication pipelines from Production → UAT/Test environments
Apply data masking, anonymization, and tokenization techniques to ensure compliance
Optimize data refresh cycles for performance and cost efficiency
Collaborate with security and compliance teams to enforce data governance policies
Performance Testing & Execution
Design and execute load, stress, endurance, and spike tests
Use tools like JMeter, Gatling, LoadRunner for distributed load simulation
Analyze system behavior and identify performance bottlenecks
Deep System Troubleshooting
Diagnose issues across:
-Application (APIs/services)
-Database (query optimization, indexing)
-Infrastructure (CPU, memory, network latency)
Perform root cause analysis (RCA) and drive resolution
Observability & Benchmarking
Define and implement monitoring and observability frameworks
Establish performance baselines, dashboards, and reporting
Provide actionable insights into system health and scalability
Cross-Team Collaboration & Enablement
Drive shift-left performance and data strategies
Partner with engineering teams to ensure testability and scalability
Mentor teams on performance engineering, TDM, and automation best practices
AI-Driven Quality Engineering
Leverage AI/ML tools to accelerate test creation, optimization, and analysis
Automate anomaly detection and performance insights
Qualifications
Bachelor’s degree in Computer Science or equivalent with 8+ years of hands-on experience
Strong expertise in:
-Test automation frameworks (Playwright preferred, TestNG, RestAssured)
-Performance testing tools (JMeter, Gatling, LoadRunner)
Proven experience in:
-Test Data Management (TDM) and data lifecycle strategies
-Synthetic data generation and anonymization techniques
-Data replication/masking across environments (Prod → UAT/Test)
Hands-on experience with:
-Environment provisioning & automation (cloud/on-prem)
-Infrastructure & network troubleshooting
Strong knowledge of:
-SQL (mandatory), NoSQL (preferred)
-Unix/Linux systems
Experience with CI/CD pipelines (Jenkins, GitHub Actions)
Programming skills in Java / JavaScript / scripting
Exposure to AI/ML tools for test and data generation
Strong leadership, ownership, and cross-team collaboration skills
Nice to Have
Experience with cloud platforms (AWS, Azure, GCP)
Knowledge of containerization (Docker, Kubernetes)
Experience with observability tools (Prometheus, Grafana, ELK, AppDynamics, Dynatrace)
Exposure to chaos engineering and resilience testing
Leadership
Dives deep into the root cause of issues and ensures that the issues remain fixed
Collaborates with and influences team members; mentors junior engineers
Views problems as opportunities and proposes solutions
Acts like an owner; thinks on behalf of customers
Able to navigate challenges faced in achieving goals or reach out for help in a timely manner
Mentors junior engineers
What Success Looks Like
Production-like environments with high-fidelity test data
Scalable systems validated through realistic load and data models
Reduced defects through early performance and data validation
Strong adoption of TDM, synthetic data, and automation practices
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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This posting is a new position within our organization.