Senior Manager, Software Engineering

Your work days are brighter here. We’re 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, we’re shaping the future of work so teams can reach their potential and focus on what matters most. Our culture is rooted in integrity, empathy, and shared enthusiasm. About The Team Located in Pleasanton, CA; Boston, MA; Atlanta, GA; and Dublin, Ireland, the Data Platform and Observability Engineering team is vital to enabling real‑time insights across Workday’s platforms, infrastructure, and applications. We develop large‑scale distributed data systems that support crucial Workday applications and manage hundreds of terabytes of data, encapsulating billions of messages produced daily by Workday applications and services. About The Role 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. 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: A bachelor’s degree in Computer Science or a related field and at least five (5) years of experience in the job offered or a 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 in 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. Other Qualifications: A master’s degree in Computer Science or a related field and at least two (2) years of experience in the job offered or a 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 in 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. Workday Pay Transparency Statement Workday pay ranges vary based on work location. The role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, and annual refresh stock grants. Compensation offers are based on multiple factors including geography, experience, skills, job duties, and business need. 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. Equal Opportunity Employer Workday is an Equal Opportunity Employer, including individuals with disabilities and protected veterans. Workday considers qualified applicants with arrest and conviction records under applicable Fair Chance law. Workday is committed to providing reasonable accommodations for qualified individuals during the application process, including regarding the use of AI tools for employment decision-making to any degree. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Retaliation may result in disciplinary action, up to and including termination. #J-18808-Ljbffr