About MapR Technologies MapR Technologies, a provider of the industry’s leading data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are all part of the MapR ecosystem. For more information, visit www.mapr.com. Looking for a fast-paced environment where you can learn push the boundaries of performance and scale? MapR DB and MapR Streams are the industry’s top-ranked, high-performance NoSQL DB and messaging product for the Cloud, Containerized and on-prem deployments. It is integrated into MapR’s Converged platform providing both scale and flexibility. We are looking for talented engineers to help expand the functionality and make it the product of choice for operational and analytic big data use-cases. To learn more about MapR Data Platform, please visit:https://mapr.com/products/mapr-converged-data-platform/

In this role, you will:

• Deliver an extremely high-performance enterprise-grade product that scales to 1000s of nodes and petabytes of data for the cloud, containerized and bare-metal deployment.
• Make product extremely easy to use for developers and administrators.
• Implement key customer-visible features and integrate with adjacent products

What you'll get in return:

• Work in small teams of talented and dedicated individuals in a fast-paced environment.

• Get your hands dirty on the internals of a big data platform, cloud, and Kubernetes.

• Career growth in a high-growth market in a late-stage pre-IPO startup

Relevant skills & experience:

• Passionate about learning, take pride in code quality and a self-starter
• Strong C/C++/Java development and debugging skills
• Experience building and delivering multi-threaded scalable and distributed systems
• BS or Ph.D. degree in Computer Science or equivalent experience