About the Team
The Data Platform and Observability Engineering team, located in Pleasanton, CA; Boston, MA; Atlanta, GA and Dublin, Ireland, 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.

About the Role

As a Sr Manager, Software Development Engineer, you'll:

• 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.
• This position may allow for partial telecommuting.

Salary Range: $274,456 - $296,800

About You

Basic Qualifications:

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; and

Five years (60 months) of experience in intelligent decision systems.

Other Qualifications:

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; and

Two years (24 months) of experience in intelligent decision systems.

Workday Pay Transparency Statement

Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton

Our Approach to Flexible Work

Workday uses a hybrid Flex Work Model. Most roles require at least 50% in-person time each quarter in a Workday office or with customers, prospects, or partners, with specific expectations varying by role, team, country, and business needs.