We are hiring a Performance QA Automation Engineer with strong Guidewire expertise to drive end-to-end performance validation across enterprise insurance platforms including Policy Center, Claim Center, Billing Center, and Insurance Suite integrations.

This is a high-ownership role focused on ensuring scalability, stability, and production-grade performance readiness for large-scale P&C; insurance systems.

What You Will Own

You will be responsible for validating and engineering performance across Guidewire ecosystems under real-world insurance workloads:

- Design and execute performance, load, stress, spike, and endurance testing
- Build and maintain automation frameworks for performance testing
- Validate end-to-end Guidewire business flows under production-scale concurrency
- Ensure zero performance regression across releases

Guidewire Scope (Core Focus Areas)

You will own performance validation across:

- Policy Center: quote, bind, endorsement, renewal transactions
- Claim Center: FNOL ingestion, claims lifecycle processing
- Billing Center: billing cycles, invoicing, payments, reconciliation
- Insurance Suite integrations: APIs, messaging, external systems

Guidewire Testing Methodology (Mandatory Execution Standards)

You will operate within a strict performance engineering methodology:

- Business Transaction Modeling
Convert insurance workflows into measurable performance scenarios:
- Quote-to-bind lifecycle
- FNOL-to-claim closure lifecycle
- Billing cycles and batch jobs
- Ensure realistic concurrency and production-like datasets

- Layer-Based Testing Strategy
UI layer (PCF-based workflows where applicable)
API layer (REST / SOAP services)
Batch processing layer (jobs, schedulers,



rules engine)
Database layer (query performance, locking, indexing impact)
- Performance Benchmarking Discipline
Establish baselines for every release
Compare performance against prior release benchmarks
Identify deviation sources (code / configuration / infrastructure)

Automation & Tools

- Apache JMeter (primary)
- Load Runner (VuGen, Controller, Analysis)
- Gatling (preferred for advanced scripting)
- CI/CD integration using Jenkins / Azure Dev Ops
- API performance testing for REST and SOAP services

Performance Engineering Responsibilities

- Identify and analyze system bottlenecks: JVM memory issues, GC pauses, thread contention
- Database slow queries, locks, and indexing gaps
- Integration latency across services
- Perform root cause analysis and provide actionable tuning recommendations
- Work with development and infrastructure teams for resolution

Performance Standards (Non-Negotiable)

- P95 / P99 response time SLAs defined per transaction type
- Throughput (TPS) benchmarks for each Guidewire module
- Error rate under load < 0.1%
- Batch jobs must complete within defined processing windows
- No release without performance baseline validation

Required Skills

- 5–10 years in QA / Performance Testing
- Strong hands-on experience with Guidewire Insurance Suite
- Expertise in JMeter / Load Runner / Gatling
- Robust understanding of: REST and SOAP APIs, SQL performance tuning, Basic JVM performance concepts, Enterprise web application architecture

Good to Have

- Guidewire Cloud / Insurance Suite Cloud experience
- P&C; Insurance domain knowledge
- Experience in distributed systems performance testing
- CI/CD pipeline integration for automated testing

📌 Performance QA Automation Engineer (Bengaluru)
🏢 BlitzenX
📍 Bengaluru