SDET III - Performance Testing

About Us HighLevel is an AI powered, all-in-one white-label sales marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. About the Role: HighLevel Inc. is looking for a SDET III with 5-6 years of experience to play a crucial role in ensuring the quality, performance, and scalability of our products. We are seeking engineers who thrive in a fast-paced startup environment, enjoy problem-solving, and stay updated with the latest models and solutions. This is a great opportunity to work on cutting-edge performance testing strategies and contribute to the success of our products. Responsibilities: Implement performance, scalability, and reliability testing strategies Capture and analyze key performance metrics to identify bottlenecks Work closely with development, DevOps, and infrastructure teams to optimize system performance Develop test strategies based on customer behavior to ensure high-performing applications Automate the capturing of performance metrics and generate performance trend reports Collaborate with developers and architects to optimize frontend and API performance Conduct root cause analysis of performance issues using logs and monitoring tools Research, evaluate, and conduct PoCs for new tools and solutions Ensure high availability and reliability of applications and services Requirements: 5-6 years of hands-on experience in Performance, Reliability, and Scalability testing Strong skills in capturing, analyzing, and optimizing performance metrics Expertise in performance testing tools such as Locust, Gatling, k6, etc. Experience working with cloud platforms (Google Cloud, AWS, Azure) and setting up performance testing environments Knowledge of CI/CD deployments and integrating performance testing into pipelines Proficiency in scripting languages (Python, Java, JavaScript) for test automation Hands-on experience with monitoring and observability tools (New Relic, AppDynamics, Prometheus, etc.) Strong knowledge of JVM monitoring, thread analysis, and RESTful services Experience in optimizing frontend performance and API performance Ability to deploy applications in Kubernetes and troubleshoot environment issues Excellent problem-solving skills and the ability to troubleshoot customer issues effectively EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record-keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. Originally posted on Himalayas