Senior Backend Engineer
WorkdayFull Time
Senior (5 to 8 years), Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a fully remote role and Cribl is a remote-first company that empowers employees to do their best work wherever they are.
Required skills include demonstrated experience building products that leverage large scale data sets using Node.js/Typescript, strong knowledge of data structures, algorithms, distributed systems, and scalability principles, plus knowledge of systems level debugging, networking, performance profiling, and tuning.
Cribl has a fun, collaborative culture that doesn't take itself too seriously, values putting customers first, and embraces diversity with team members spread globally in a remote-first environment.
Yes, the position requires stand-by, on-call, or off-hours duties, including regular participation in the team’s on-call/support rotation.
Strong candidates have experience with large-scale data systems in Node.js/Typescript, expertise in distributed systems and scalability, and are proactive drivers who mentor juniors, take initiative beyond their job description, and thrive in cross-functional teams.
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.