Sr Manager, Software Development Engineering

Posted 4 Days Ago
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Pleasanton, CA, USA
In-Office
274K-297K Annually
Senior level
Cloud • Fintech • HR Tech
The Role
Lead teams building large-scale distributed data and observability systems to ingest, store, analyze, and visualize operational data. Own analytics table design, ML/AI correlation and anomaly detection engines for root-cause and outage detection. Manage cross-functional projects, evaluate cloud-native/open-source tools, and drive next-generation ML platform initiatives.
Summary Generated by Built In

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. The minute you join, you’ll 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. We’re 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 you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll 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, you’ve found a match in Workday, and we hope to be a match for you too.


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.


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.


Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.


If you require a reasonable accommodation, you should open a People Guide Request (current employees only), or you may email [email protected], as far in advance as possible.


Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Skills Required

  • Bachelor's degree in Computer Science or related
  • Five years experience in the job offered or related occupation
  • Five years experience in Java/Scala
  • Five years experience in Python
  • Five years experience in machine learning and natural language processing
  • Five years experience in advanced deep learning models
  • Five years experience in data lake
  • Five years experience in AWS
  • Five years experience in S3
  • Five years experience in Spark
  • Five years experience in Kafka
  • Five years experience in machine learning workflow orchestration
  • Five years experience in intelligent decision systems
  • Master's degree in Computer Science or related
  • Two years experience in Java/Scala
  • Two years experience in Python
  • Two years experience in machine learning and natural language processing
  • Two years experience in advanced deep learning models
  • Two years experience in data lake
  • Two years experience in AWS
  • Two years experience in S3
  • Two years experience in Spark
  • Two years experience in Kafka
  • Two years experience in machine learning workflow orchestration
  • Two years experience in intelligent decision systems

Workday Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workday and has not been reviewed or approved by Workday.

  • Healthcare Strength Health coverage is positioned as broad and well-supported, with multiple medical carrier options, virtual care access, and some locations offering onsite clinic/pharmacy services. Mental health support is described as notably strong, including therapy sessions and confidential support availability for household members.
  • Parental & Family Support Family-related benefits are portrayed as extensive, including paid bonding and caregiver leave alongside fertility, adoption, and surrogacy reimbursement. Added support like parenting resources, milk-shipping/lactation assistance during travel, and backup child/elder care is explicitly outlined.
  • Strong & Reliable Incentives Equity participation and savings-oriented programs are presented as meaningful components of total rewards, including an ESPP discount with a lookback feature. Additional programs like a student-loan pathway to earn the 401(k) match are included as financial-support enhancements.

Workday Insights

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The Company
HQ: Pleasanton, CA
14,894 Employees
Year Founded: 2005

What We Do

Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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