Sr Manager, Software Development Engineering

Workday•Pleasanton, CA

12d•Hybrid

About The Position

The Data Platform and Observability Engineering team is vital to enabling real-time insights across Workday’s platforms, infrastructure, and applications. We're committed to developing large-scale distributed data systems that support crucial Workday applications. Our team provides software for the collection, ingestion, storage, analytics, and visualization of critical data assets. We manage hundreds of terabytes of data, encapsulating billions of messages produced daily by Workday applications and services. As a Sr Manager, Software Development Engineer, you will enable real-time insights across Workday’s platforms, infrastructure, and applications. You will develop large-scale distributed data systems that support crucial Workday applications. You will provide software for the collection, ingestion, storage, analytics, and visualization of critical data assets. You will manage hundreds of terabytes of data, encapsulating billions of messages produced daily by Workday applications and services. You will build data products by leveraging vast repositories of Operational product & observability data. You will construct foundational analytics tables with a canonical schema that power a majority of the analytics use cases. You will lead the development of AI /ML based correlation engine solutions for service outage detection. You will design and implement correlation engines to identify relationships between disparate data sources and enable root cause analysis. You will develop robust anomaly detection systems using ML algorithms to identify unusual patterns and potential issues before they impact business operations. You will manage cross-functional projects, using advanced data modeling and analysis techniques to generate insights for strategic decisions and optimization opportunities. You will innovate on next-generation ML and AI platforms by leveraging existing data to uncover new opportunities. You will evaluate and implement new open-source and cloud-native tools and technologies as needed. This position may allow for partial telecommuting.

Requirements

Bachelor's degree in Computer Science or related and five (5) years of experience in the job offered or related occupation.
Five years (60 months) of experience in Java/Scala
Five years (60 months) of experience in Python
Five years (60 months) of experience machine learning and natural language processing
Five years (60 months) of experience in advanced deep learning models
Five years (60 months) of experience in data lake
Five years (60 months) of experience in AWS
Five years (60 months) of experience in S3
Five years (60 months) of experience in Spark
Five years (60 months) of experience in Kafka
Five years (60 months) of experience in machine learning workflow orchestration
Five years (60 months) of experience in intelligent decision systems.

Nice To Haves

Master's degree in Computer Science or related and two (2) years of experience in the job offered or related occupation.
Two years (24 months) of experience in Java/Scala
Two years (24 months) of experience in Python
Two years (24 months) of experience machine learning and natural language processing
Two years (24 months) of experience in advanced deep learning models
Two years (24 months) of experience in data lake
Two years (24 months) of experience in AWS
Two years (24 months) of experience in S3
Two years (24 months) of experience in Spark
Two years (24 months) of experience in Kafka
Two years (24 months) of experience in machine learning workflow orchestration
Two years (24 months) of experience in intelligent decision systems.

Responsibilities

Enable real-time insights across Workday’s platforms, infrastructure, and applications.
Develop large-scale distributed data systems that support crucial Workday applications.
Provide software for the collection, ingestion, storage, analytics, and visualization of critical data assets.
Manage hundreds of terabytes of data, encapsulating billions of messages produced daily by Workday applications and services.
Build data products by leveraging vast repositories of Operational product & observability data.
Construct foundational analytics tables with a canonical schema that power a majority of the analytics use cases.
Lead the development of AI /ML based correlation engine solutions for service outage detection.
Design and implement correlation engines to identify relationships between disparate data sources and enable root cause analysis.
Develop robust anomaly detection systems using ML algorithms to identify unusual patterns and potential issues before they impact business operations.
Manage cross-functional projects, using advanced data modeling and analysis techniques to generate insights for strategic decisions and optimization opportunities.
Innovate on next-generation ML and AI platforms by leveraging existing data to uncover new opportunities.
Evaluate and implement new open-source and cloud-native tools and technologies as needed.