Senior Quality Engineer
JLL (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and execute performance, load, stress, soak, and scalability tests for AI systems and applications, partnering with developers and business SMEs.
- Build AI-assisted test automation workflows including script generation, workload modeling, and automated reporting integrated into CI/CD pipelines with SLO-based gates.
- Monitor system performance using observability tools to identify bottlenecks and recommend fixes; build evaluation frameworks tracking AI output quality alongside performance.
Minimum Requirements
- Proven experience in hands-on performance testing of production systems using tools like JMeter, k6, Gatling, or Locust.
- Production-quality coding skills in at least one language: Python, JavaScript/Node, Java, or .NET.
- Experience with observability and APM tools (e.g., Datadog, Dynatrace, New Relic, Grafana, Azure Monitor) for root cause analysis.
- Working knowledge of cloud infrastructure (Azure or AWS), containers, and database performance characteristics; demonstrated use of AI/LLM tools in engineering/testing workflows with understanding of system constraints.
Ideal Candidate Profile
- Experienced in performance engineering for AI-powered applications, comfortable operating at the intersection of business, product, and engineering teams.
- Has a pragmatic, systems-thinking approach with focus on failure modes and delivering actionable performance insights.
- Capable of leveraging AI tools extensively to enhance test automation, analysis, and reporting workflows in a high-impact environment with fast feedback cycles.