Senior Streaming Engineer, Data Integrations
FleetioFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess expert-level knowledge of software development using Node.js, JavaScript/TypeScript, Docker, and Git. Experience with integrating data stream processing engines with systems like Splunk, Elastic Search, Kafka, AWS S3, Azure Blob Storage, and Google Cloud Storage is essential. A strong understanding of building scalable, robust, and high-performing distributed systems that process large datasets in real-time is also required.
The Sr Staff Engineer will set the technical direction for Stream Integrations, develop features that integrate Cribl's data stream processing engine with various third-party systems, and rapidly develop subject matter expertise in diverse technologies. They will provide technical and thought leadership, mentor junior engineers, contribute to the technical roadmap, and introduce performance and efficiency improvements. Responsibilities also include championing teamwork and best practices, leading feature development, designing and maintaining robust code, creating test plans and automated tests, collaborating with cross-functional teams, and engaging users through blogs. Periodic participation in on-call support for SaaS products is also expected.
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.