Software Developer 4

Department Description

Autonomous Cloud – Health, Performance and Availability Management

As cloud computing begins to pervade the industry, its infrastructure needs to provide stable performance and availability guarantees along with accurate diagnostics, at ever expanding scale and complexity.

The Autonomous Cloud team is a uniquely capable development team working on building the next generation suite of products to deliver autonomous, real-time monitoring solutions for the Cloud with the goal of achieving maximum protection, performance and availability at scale.  Our products are developed utilizing a multitude of advanced machine learning (ML), pattern recognition, and data mining technologies targeting solutions for the entire software stack (Machines, Virtualization, Storage, Databases, Middleware Containers, and Applications).

Our team is focused on developing pattern recognition and data mining of large streams of sensory data for knowledge discovery, fault classification, health diagnosis and autonomous "self-healing" for dynamic operating environments.

We work on challenging problems in the areas of Distributed Systems, Elasticity, Consolidation and High Availability. Ensuring continuous availability and performance of workloads in dynamic environments requires advanced Workload Management and working in many more challenging areas of multi-node parallel and cluster computing. Our teams have been awarded several US patents for its work. We work with several teams in other divisions within Oracle and many Clustering Groups and Standards Bodies in Industry.          

Detailed Description

As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of Cluster Health Monitor which is one of the core diagnostic components of Autonomous Health Framework.  Below are the development requirements for which we are hiring under Cluster Health Monitor area.

1. Use OS monitoring data from CHM/SHM to come-up root cause analysis using correlation.
2. Result from above analysis should be displayed in AHF Insights/Fleet Insights plus can be used as input in CHA.

Career Level - IC4

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