Sr Manager, Software Development Engineering

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

As a Sr Manager Software Development Engineer youll:

• Enable real-time insights across Workdays 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: $274456 - $296800

About You

Basic Qualifications:

Bachelors 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:

Masters 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 candidates 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 Workdays comprehensive benefits please click here.

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.

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process in order to perform one or more essential functions of their job as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran due to a disability or for religious reasons or as otherwise provided under applicable law.

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