Senior Software Development Engineer, Workday
$165.6-248.4k
Office located in Pleasanton, CA
Enterprise AI platform for managing HR and finance
Job no longer available
Enterprise AI platform for managing HR and finance
1001+ employees
Job no longer available
$165.6-248.4k
Office located in Pleasanton, CA
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- Bachelor's degree in CS or CE (or equivalent) and 8+ years of experience in software development
- 3+ years of experience with Python programming
- Knowledge of Python 3.7+ including all python, python ml-related library frameworks, building framework, unit testing, and related tooling
- Experience with some or all is a plus: Apache Airflow, Java, Scala, REST, JSON, XML, Spring, react, Javascript, TypeScript
- Knowledge of data pipeline architecture and implementation
- Knowledge of AWS tools, such as sagemaker, K8s, dockers, s3, emr-job, redshift
- Knowledge of SQL-based databases
- Ability to master the data pipeline concepts, libraries, and tools, such as, numpy, pandas, polars, apache airflow, pydantic, etc
- Understanding of CI/CD pipeline and Jenkins pipeline
- Understanding of the concept of machine learning modeling & time series forecasting
- Focused, methodical, minimalist approach to crafting and constructing layered software components that can be embedded within larger frameworks or applications
- Strong collaboration skills: accomplishing tasks will often require working across teams and coordinating work on your own team
- Ability to deliver on time working in a fast-paced agile environment
- Have the desire to learn and mentor
What the job involves
- Work with Sea Otter team to build best in class Workforce Scheduling
- Work with data to solve real business problems, and build out the infrastructure/automate the processes for our newest Forecasting product, and then expand your technical skills into new technologies such as Java, React, Typescript, Optimization, and ML!
- This is a unique opportunity to build a product from the ground up with technical ownership of all stages
- Work closely with our machine learning engineering team to build algorithms and build out the infrastructure
- Work on ETL processes, data pipeline management, and data monitoring
- Develop data models and pipelines for research, reporting, and machine learning, and deploy the models to production
- Streamline our machine learning workflows
- Deliver reliable/robust software through continuous integration, automated testing, and in-depth code reviews
- Work closely with Product Management to help define new application framework features ensuring a high performing and ultra-usable user experience
- Collaborate with peers on technical design, work estimation and implementation of new features including interfaces/contracts with storage system, data transformation, and handoff to front-end technology
- Be a credible mentor to less experienced engineers and provide frequent code review feedback
- Keep on top of task and bug management system for assigned issues each sprint as well as estimating and assessing priority
- Prepare for sprint planning by understanding the details (effort, risk, priority) of remaining work committed for an update
- Give ideas for continually improving the team's productivity, job enjoyment, and code quality
- Design and implement application architectures that provide rich features and real maintainability
- Perform system and performance analysis to improve system throughput
- Most meaningfully, have fun engineering software!
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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