12 Oct
|
Virtusa
|
Chennai
"Role Summary
As a Performance Test Engineer, you will design, implement, and execute comprehensive performance, load, stress, and endurance testing for the AI Search Platform. You will be responsible for ensuring the system meets stringent latency requirements (<5 seconds streaming summaries) under peak healthcare consumer traffic. You will collaborate closely with AI developers, cloud architects, and clinical governance SMEs to analyze bottlenecks, measure LLM token/latency metrics, and guarantee the platform's high availability and reliability.
Key Responsibilities
- Performance Testing Strategy: Plan, script, and execute load, stress, scalability,
and endurance tests for the conversational search, APIs, and batch ingestion pipelines.
- Response Time Validation: Benchmark and validate that the AI Summary Engine
begins streaming responses in less than 5 seconds from query submission under concurrent load.
- Testing Tool Execution: Utilize performance and profiling tools such as JMeter,
Artillery, Lighthouse, and Fiddler to measure end-to-end response times and UI rendering.
- AI & LLM Evaluation: Measure LLM-specific latency, throughput, token usage,
and
accuracy bottlenecks using tools like LangSmith, Judge LLM, and Virtusa's AI Assurance Accelerators.
- Infrastructure Monitoring: Monitor server-side performance (Azure Functions,
Azure AI Search, API Management, Cosmos DB, and Redis cache) to isolate infrastructure-level bottlenecks.
- Ingestion Pipeline Testing: Benchmark the performance of the EOD batch
ingestion pipeline (Sitefinity CMS content harvesting, text chunking, embedding generation, and index upserts).
- CI/CD Integration: Integrate automated performance checks and regression
baselines into the deployment pipelines.
- Security & Resilience Checks: Perform basic vulnerability assessments and
performance-under-stress evaluations using tools like OWASP ZAP to ensure edge-level resilience. Technical Skills & Qualifications
- Experience: Minimum of 5+ years of experience in performance engineering and
quality assurance for enterprise applications, preferably in cloud-native search or Generative AI platforms.
📌 Lead Software Engineer (Chennai)
🏢 Virtusa
📍 Chennai