SDET III - Performance Testing

About HighLevel:

HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have ~1200 employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.

Our Website - https://www.gohighlevel.com/

YouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g

Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/

Our Customers:

HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 500K businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.

Scale at HighLevel:

We operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage.

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 recordkeeping, 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.

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