Senior Quality Engineer

Jones Lang LaSalle Incorporated; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JLL is seeking a Performance Testing Engineer (AI) for our Bengaluru on-site team. You will own performance engineering for AI-driven apps, run load/soak tests, and use AI tools to generate scripts and automate reporting.

You’ll measure latency, throughput, and token costs while ensuring scalability across data pipelines and services. You will work with the Center of Excellence to integrate tests into CI/CD, monitor observability across components, and present clear, actionable results to

Qualifications

• Hands-on performance testing with modern tools.
• Production-quality coding in Python, JavaScript/Node, or Java/.NET.
• Experience with observability and APM tools.
• Cloud experience (Azure or AWS) and containers.
• Familiarity with AI tools and LLM APIs in testing workflows.

Responsibilities

• Design and run performance, load, stress, soak, and scalability tests for apps, APIs, and data pipelines.
• Measure latency, throughput, concurrency, rate limits, and token costs in AI systems.
• Build AI-assisted test automation and realistic synthetic workloads.
• Integrate performance tests into CI/CD with SLO-based thresholds.
• Instrument systems with observability tools and diagnose bottlenecks.
• Run workshops on performance testing with engineering and business teams.

Job description

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Performance Testing Engineer (AI)

JLL | Full-Time

About the Role

JLL is rolling out AI agents, LLM-powered applications, and the platforms behind them across the business. Before they reach thousands of users, they need to prove they are fast, stable, and affordable at scale. You will own performance engineering for your assigned portfolio of applications and AI systems. The Center of Excellence in our central AI team gives you the methodology, the platform, and the patterns; the business gives you the systems, the SMEs, and the appetite for change. Your job is to design and run load, stress, and resilience tests, find bottlenecks before production does, and turn the results into clear recommendations that teams act on. We expect engineers at this level to operate with AI tools as a primary part of their workflow. You will use AI to generate test scripts, model realistic workloads, analyze results, and automate reporting. Your leverage comes from the skills, workflows, and automations you build to test safely and repeatedly. The leverage in this role is AI, not headcount.

What You'll Do

• Design and run performance, load, stress, soak, and scalability tests for applications, APIs, and data pipelines, in close partnership with developers and business SMEs.
• Performance-test AI systems (LLM gateway, shared RAG services, MCP servers, and agents), measuring time to first token, end-to-end latency, throughput, concurrency limits, rate-limit behavior, and token cost per transaction.
• Build AI-assisted test automation: use LLMs and agents to generate scripts, create realistic synthetic workloads and data, triage results, and draft reports.
• Integrate performance tests into CI/CD pipelines with SLO-based thresholds and gates so regressions are caught before release.
• Instrument and monitor systems with observability tooling, diagnose bottlenecks across the application, database, network, and infrastructure layers, and recommend fixes.
• Build evaluation harnesses that track AI output quality alongside performance, so speed and cost optimizations do not quietly degrade answers.
• Run workshops with engineering and business teams on performance testing practices and on using tools like Claude Code in testing workflows.
• Feed benchmarks, patterns, anti-patterns, and platform gaps back into the Center of Excellence so the next engagement moves faster.

Must Have Experience

• Hands-on performance testing of production systems using tools such as JMeter, k6, Gatling, or Locust.
• Production-quality code in at least one of Python, JavaScript/Node, or Java/.NET, enough to build custom load generators and test automation.
• Experience with observability and APM tools (such as Datadog, Dynatrace, New Relic, Grafana, or Azure Monitor) and with analyzing metrics, traces, and logs to find root causes.
• Working knowledge of cloud infrastructure (Azure or AWS) and containers, and of how relational, NoSQL, and vector data stores behave under load.
• Used AI tools or LLM APIs in real engineering or testing workflows, with a grounded understanding of how LLM systems behave under load: token limits, rate limiting, streaming, caching, and concurrency.

Traits

• Strong written and verbal communication; able to explain results and risk to non-engineers.
• Pragmatic judgement on what to test, how deep to go, and when results are good enough to ship.
• Systems thinking with a focus on failure modes; AI helps write the tests, you own the results.
• Comfort running multiple agents and automations in parallel as part of daily workflow.

Why This Role

JLL. A Fortune 200 company and a global leader in commercial real estate, with the stability of a $20B+ business and the resources to invest seriously in AI.

The team. You sit at the seam of the business, product, and engineering, with a direct line into JLL's central AI platform via the Center of Excellence. Your findings are visible from business leadership on down.

The role. The systems you test are the agents and platforms thousands of JLL employees rely on every day, and your work decides whether they hold up at scale. You will see the impact within weeks, not quarters.

Location: On-site – Bengaluru, KA

Scheduled Weekly Hours: 40

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [e-mail]. This email is only to request an accommodation.

We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world.