Senior / Staff Software Engineer - Batch and Realtime Streaming
The Voleon GroupFull Time
Senior (5 to 8 years), Expert & Leadership (9+ 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.
The role requires developing integrations with systems like Splunk, Elastic Search, Kafka, AWS S3, Azure Blob Storage, and Google Cloud Storage, providing technical leadership, mentoring junior engineers, and contributing to the technical roadmap while building scalable distributed systems.
Cribl has a fun, collaborative culture that doesn't take itself too seriously, values putting customers first, embraces global diversity, and seeks motivated team members who love getting stuff done.
This information is not specified in the job description.
Strong candidates are experienced in building scalable distributed systems for real-time data processing, enjoy research and development, can provide thought leadership, mentor juniors, and thrive in a collaborative remote team focused on high-quality software.
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.