Senior Software Development Engineer, Workday
MLOps
CA$132.8-199.2k
Enterprise management cloud platform
Be an early applicant
Enterprise management cloud platform
1001+ employees
Be an early applicant
CA$132.8-199.2k
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- 6 or more years as a Software Development Engineer in ML domain
- Bachelor’s and/or Master’s degree in Computer Science or Computer Engineering
- 4 year’s experience designing, implementing, and maintaining robust MLOps services for deploying, monitoring, and scaling machine learning development primarily using Kubeflow or similar platforms
- Professional experience in building web applications and microservices and API design
- Solid understanding on how to implement and manage CI/CD workflows to automate testing, integration, and delivery of machine learning components
- Experience in supporting large Kubernetes networks in production
- 6 or more years of cloud programming experience preferably in Python or Go
- Experience with running and maintaining ML platforms such as: Databricks, Sagemaker, and or VertexAI
- Implementation and operation of distributed systems
- Stay abreast of industry trends and emerging technologies, providing recommendations for continuous improvement of our DevOps and machine learning practices
- Troubleshoot and resolve performance bottlenecks, system outages, and other operational issues in collaboration with the ML engineering teams
- Ensure the security and compliance of machine learning platforms, implementing best practices for encryption, data protection and access controls
- Optimize public cloud-based infrastructure (AWS, GCP) to support the computational requirements of machine learning workloads
- Experience in managing relevant tools like Databricks and Sagemaker to perform efficient computation and management of large-scale data lakes
- Experience of data and/or ML systems with ability to think across layers of the stack
- Develop and maintain monitoring and alerting systems for proactively identifying and addressing issues within the machine learning infrastructure
- Experience in leading or mentoring other team members
What the job involves
- This is an opportunity to be part of a growth team focused on MLOps. We build ML capabilities into our products, and you would be building part of the next generation of Workday technology
- We believe predictive products can be as ground-breaking to the next generation of technology as mobile was to the last
- As a Senior Software Engineer, you will help develop ML powered features and experiences for every user across our HR & Talent product portfolio
- You will work closely with ML engineers and other software teams to deliver critically important infrastructure and software frameworks that enable machine learning across Workday’s product ecosystem
- You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical
- You will be responsible for the design & development of new APIs/microservices and deploy them using Python, Terraform and Kubernetes at scale
- You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our end-users experience WD
- We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people
- Work with multi-functional teams to deliver scalable, secure and reliable solutions
- Building MLOps platform primarily using Kubeflow, and other ML ecosystem framework and services for building a unified ML Development experience
- Effectively engage with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions
- Own and develop cloud-based services from end to end including infrastructure as code
- Design and build software solutions for efficient organization, storage and retrieval of data to enable substantial scale
- Understanding cloud computing and security to build robust cloud infrastructure and solutions for ML teams
- Build systems and dashboards to monitor service & ML health
- Lead in architecture reviews, code reviews and technology evaluation
- Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind
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.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
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 benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
Company values
- Employees - Most fundamentally, people are the core of our business. Without them, we would not have a business. We hire the best and expect great accomplishments
- Customer service - Every investment and decision we make has our customers in mind, and we pull out all stops to make the satisfaction of our customers paramount
- Innovation - We aim for innovation not only in our development organization but also in the way we approach all aspects of our business
- Integrity - We say what we mean, and mean what we say. We stick to our commitments, treat everyone equitably, and communicate openly and honestly
- Fun - We also feel it’s important to have a sense of humor. We like to laugh—it makes our work that much more enjoyable. We also invest in community and company events that help our employees and their families feel a connection to Workday beyond business as usual
- Profitability - Long-term economic success is what helps us provide employees and customers with the best productivity tools, solutions, and services. While important, profitability is not why we exist. Simply put, at Workday we exist to make and provide great products and services
Company HQ
Pleasanton, CA
Articles
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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