Performance Test Engineer

Performance Test Engineer

Location: Chennai, India

ABOUT DIGITAL.AI

Digital.ai is the only AI-powered software delivery platform purpose-built for the enterprise, enabling the world’s largest organizations to build, test, secure, and deliver high-quality software. By unifying

AI-driven insights, automation, and security across the software development lifecycle, Digital.ai empowers enterprises to deliver innovation with confidence. Trusted by 5,000 global enterprises, Digital.ai is redefining how enterprises build better software in an AI-driven world. Additional information about Digital.ai can be found at digital.ai and on Twitter, LinkedIn, and YouTube.

Our space and our audience:

We help our customers innovate and transition to cloud and modern architectures, deliver strong developer experience while maintaining security and control with platform engineering capabilities, develop quality and secure mobile apps, and leverage and manage AI in the SDLC. Our global clients lead their industries as innovators in digitization across financial services, retail, telco, public services, technology, manufacturing, transportation, and energy with our AI-powered DevSecOps platform. We currently serve:

• Over 50% of Fortune 100 companies


• 8 of 10 top banks


• 5 of 10 largest gaming companies


• 5 of 10 global airlines


• Over 50 worldwide government entities

POSITION OVERVIEW

The Team

The Performance Engineering Team consists of both Performance Test Engineers and Application Performance Engineers who are responsible for ensuring and maximizing the performance of Digital.ai products. Some of the team's responsibilities include:

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  Establishing performance guidelines and benchmarks for the application


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  Continuously asserting the performance and scalability of the application against established benchmarks


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  Working closely with the development team, participating in design discussions and making sure performance guidelines are followed


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  Identifying performance issues early in the release cycle and coming up with solutions/suggestions as well


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  Running different types of performance tests to measure both the application and hardware deployment capacity and coming up with scalable deployment solutions

Responsibilities

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  Analyze customer usage patterns and identify potential bottlenecks in the installation, configuration, or in the application itself


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  Working with the cross-functional team, analyze/profile the application for performance and scalability bottlenecks


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  Explore and identify scalability options for various sized customers


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  Work with customers on their performance and scalability issues (onsite/offsite)


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  Maintain, develop and enhance performance engineering dashboards and reporting solutions using JavaScript and Python to provide real-time visibility into performance trends, KPIs, SLAs, and test execution results


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  Evaluate and leverage Generative AI and Agentic AI capabilities to improve performance engineering processes, including test design, workload generation, RCA automation, data analysis, dashboard insights, and reporting automation


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  Contribute to creating baselines, benchmarks, and best practices for the performance engineering team. Provide not only test results but also drill down into logs and code to give developers more detail

Required Skills

Desired profile / skill set:

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  Expert in performance engineering techniques and processes


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  Expert in carrying out E2E performance testing, from identifying the requirements, building workload models, scenarios, scripting, results analysis, reporting, and presentation


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  Expertise in server-side and client-side performance testing tools and frameworks, preferably JMeter/Locust/Gatling, and experience in HTTP Watch, Fiddler, Chrome DevTools Lighthouse, PageSpeed Insights, WebPageTest, etc.


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  Experience in implementing continuous integration and continuous deployment methodology for performance engineering


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  Performance tuning experience with Web and Application Servers in Windows and Linux environments


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  Strong command of protocols: HTML/HTTP, TCP/IP, COM/DCOM, SOAP, REST


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  Database (PostgreSQL/MySQL/MongoDB/Oracle) knowledge is required, including SQL tuning


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  Proficient in any Java profiling tools (JProfiler, Dynatrace, YourKit)


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  Experience in using any APM tools is preferred (New Relic, AppDynamics, etc.)


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  Experience with metrics monitoring such as Grafana, InfluxDB, Prometheus, ELK


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  Expertise in heap and thread dump analysis is required (JMAP, TDA)


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  Real user monitoring and log analysis tools (Splunk, Logstash)


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  Experience with Java and .NET framework performance engineering is desirable


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  Experience in cloud computing, preferably AWS/Azure/GCP


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  Experience in DevOps and CI/CD culture


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  Exposure to Docker, Kubernetes and container management


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  Experience in performance tuning and recommendations


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  Good verbal and written communication skills


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  Self-motivated, independent, detail oriented and a team player

WHAT WE OFFER

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  Flexible working hours and an informal work environment, on-site or remote


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  Paid Time Off (PTO) program plus recognized holidays


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  Unlimited access to continuous learning and professional development with TalentLMS


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  Mentorship and dedicated learning time


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  Team building and other unifying events


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  Opportunity to work with a diverse, globally distributed team

Why Digital.ai?

At Digital.ai, we’re more than just a software company — we’re a team of innovators, thinkers, and problem-solvers. By joining our sales organization, you’ll be part of a dynamic, collaborative environment that encourages professional growth and values diverse perspectives. You’ll work with some of the brightest minds in the industry, all while having the opportunity to shape the future of AI-enabled enterprise software development.

If you're ready to take your sales career to the next level and make a real impact with a leading tech company, we want to hear from you.

EQUAL EMPLOYMENT OPPORTUNITY

Digital.ai is firmly committed to Equal Employment Opportunity (EEO). We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation. For individuals with disabilities who would like to request an accommodation, please advise us within your job application or cover letter.

FRAUD PREVENTION ALERT

Please note that Digital.ai does not use third-party recruiters. In an effort to protect you against possible impersonation, please verify the sender’s email address, and if you are contacted by an unfamiliar or third party requesting personal or financial information on Digital.ai’s behalf, please reach out directly to Digital.ai to confirm.