QA Automation Engineer, Performance
Keeper SecurityFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $165,000 - $195,000, and it is dependent on geography.
Cribl is a remote-first company that empowers employees to do their best work wherever they are, and experience working remotely is preferred.
Candidates need 5+ years of software development experience focusing on performance/scale testing, expertise in designing performance tests for data-intensive applications, hands-on experience with Cloud (AWS, Azure) and Docker, knowledge of resource management in Linux or Windows, and excellent communication skills.
Cribl is a serious company that doesn’t take itself too seriously, seeking collaborative, curious, and motivated team members who love to get stuff done, laugh along the way, put customers first, and enjoy good or bad jokes and goats.
Strong candidates have 5+ years in performance testing, expertise with data-intensive apps, cloud/Docker experience, CI/CD knowledge, excellent communication in remote settings, and a fearless, fun-loving attitude with remote work experience.
Data observability solutions for tech businesses
Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.