Staff Software Engineer, Data
Flex- Full Time
- Senior (5 to 8 years)
Candidates should possess a minimum of 5 years of hands-on experience in technical consulting or big data analytics, demonstrating proficiency in advanced technical concepts and methodologies. Extensive expertise in deploying and managing AWS/AZURE/GCP Cloud environments, including advanced configuration and optimization techniques is required, along with exceptional command over Big Data Analytics tools such as Splunk, Elastic, Grafana, DataDog, Exabeam, and Azure Sentinel. Proven track record of working with complex Enterprise applications, including proficiency in deploying and managing Kubernetes, Docker, and other automation technologies is necessary, as well as in-depth knowledge and experience with both Unix and Windows operating systems.
As a Professional Services Consultant, you will demonstrate technical leadership and authority in observability and/or security, serving as the thought leader in driving complex deployments of Cribl products while working alongside customers to resolve their unique problems. You will lead and execute complex customer engagements, ensuring successful architecture, design, development, deployment, operationalization, and documentation. Additionally, you will enhance Cribl’s learning ecosystem by creating valuable resources such as best practice documentation, blog posts, runbooks, workshops, and training materials, facilitating knowledge transfer, enablement, coaching, and mentoring for team members, customers, and partners.
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.