Job Description

Responsible for providing observability solutions to SaaS customers' problems Develop ML based monitoring solution to help operations identify genuine alerts and suppress noises Provide creative solutions quickly and be able to lead others in crafting and implementing superior technical vision ML based data analysis of observability metrics, predictions, discovery, unlocking repeatable patterns that can be actionable foresight Provide domain expertise at building monitoring solutions and mentor other team members to produce high quality software, work with colleagues to define systems architecture and approach Building prototypes and machine learning/Artificial Intelligence use cases with development of machine learning models/predictive analytics techniques leveraging both repeatable patterns in data and discovering outliers, structural anomalies and or prediction

BS or MS degree or equivalent experience relevant to functional area 6+ years of Software Design & Development experience with 2+ years of experience in Cloud development Experience designing and implementing solutions for platform and application layer telemetry, monitoring, scalability, performance, and reliability Experience with Oracle Linux, RedHat Linux as well as advanced knowledge of UNIX programming skills and Python, Go or other high-level languages Experience in Python or Java. Other languages are a plus. Understanding of ML model training and evaluation workflows; ability to assess, diagnose, and reason about a model's performance and suitability for various use cases Experience with all stages of the lifecycle for production applications of Oracle Products Sound understanding & experience of agile software development practice Ability to think critically about the relationships of different metrics measured and process steps to land the right features for a given model Experience with any of the monitoring alerting technologies like EM, Prometheus, Grafana, Kafka, T2 Telemetry Self-driven to keep moving things forward even in the face of ambiguity and imperfect knowledge Excellent written and verbal technical communications with technical and non-technical peers, customers, and at times, executive leadership * Proven success in contributing to a collaborative, team-oriented environment, with the ability to establish and nurture relationships between multiple teams and navigate dependencies