About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts. About the Role:



HighLevel is looking for a Lead SDET with 8+ 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: Define the performance strategy and roadmap, including SLIs, SLOs, and baselines for critical services, prioritized by customer impact and risk Build and evolve a shared performance testing framework and production-like environments (Kubernetes, cloud, test data) that product-team SDETs adopt Model workloads from production traffic and customer behavior, run load, stress, soak, and spike tests, and lead capacity planning ahead of peak events Integrate performance checks into CI/CD with agreed thresholds, and publish trend reports that engineering leaders use for release decisions Lead root cause analysis of complex bottlenecks across API, database, queue, and frontend layers, working with development, DevOps,



and infrastructure teams Evaluate new tools and approaches through PoCs and decide what we adopt Mentor SDETs and developers on performance-aware design and testing, and use performance data to influence architecture decisions Requirements: 8+ years in performance, scalability, or reliability engineering or testing, with examples of measurable impact on production-scale distributed systems Deep hands-on experience with k6, Gatling, or Locust, including realistic workload modeling and distributed load generation, and strong programming skills in Python, JavaScript/TypeScript, or Java Experience using observability tooling (for example New Relic, Prometheus/Grafana, OpenTelemetry) to isolate root cause across API, database, and queue layers, with a solid grasp of REST service performance, concurrency, and caching Experience designing performance gates in CI/CD that teams trust: stable baselines, controlled noise, and transparent pass/fail thresholds Working knowledge of Kubernetes and at least one major cloud (GCP, AWS, or Azure) to deploy and debug test environments Experience leading performance work across multiple teams: setting direction, mentoring engineers, and influencing without direct authority Nice to Have: Runtime profiling and thread or heap analysis on the JVM or Node.js (GC behavior, event-loop lag) Frontend performance experience: Core Web Vitals, Lighthouse, real user monitoring Experience applying AI-assisted tooling to test design or result analysis Experience with NoSQL or search datastores and message brokers at scale Chaos or resilience testing, and safe testing in production (canaries, shadow traffic)

📌 Lead Software Development Engineer in Test - Performance Testing (India)
🏢 Important Business
📍 India