Senior Quality Engineer

About the Role

Location:

• On-site –Bengaluru, KA
• Scheduled Weekly Hours:
• 40
• If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
• At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
• JLL Privacy Notice
• Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• 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 [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• Strong written and verbal communication; able to explain results and risk to non-engineers.
• Pragmatic judgment 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.
• 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.
• If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!
• At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
• On-site –Bengaluru, KA
• Scheduled Weekly Hours:
• 40
• If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
• JLL Privacy Notice
• Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• 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 [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.