Software Engineer - ML Operations

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

The Workday ML Runtime team is seeking an energetic and determined Software Engineer to design, implement, and deliver highly scalable features for our Machine Learning Runtime platform. As a member of this fast paced group you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday Machine Learning features in production. You will partner with Data Scientists, ML Engineers, and other Software Engineers to create the technology that brings these features to life.

About the Role

Key Responsibilities :

• Developing frameworks, automation, and tooling to foster a culture of efficiency and innovation.

• Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative ML Runtime Inference applications.

• Developing products and services that empower developers to streamline their interactions with the ML platform.

• Working with public clouds (such as IAAS, AWS, GCP) and applying capacity management principles.

• Deploying and orchestrating containers in production environments, including technologies like Containers, Kubernetes, Service Mesh, ArgoCD and related tools.

• Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions.

• Own and develop features from end to end including infrastructure as code.

• Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind

• Strong dedication to proactively addressing and resolving issues, automating processes, and empowering engineers to self-service their operational needs for improved productivity.

• Availability for on-call support on a rotational basis.

About You

We need creative and dedicated Software Engineers, like you, who really want to move the needle. You should enjoy working on projects that can significantly improve developer satisfaction and save the company millions of dollars. By nature, you are inquisitive and ready to question the status quo. You have a passion for exploring and implementing innovative techniques and approaches to solve complex and challenging problems. Most importantly of all you are a superlative collaborator and teammate and bring out the very best in everyone. You feel happiest when working with a highly capable and motivated team of people passionate about software and technology.

Basic qualifications

• 5+ years of DevOps experience including Infrastructure automation, building CICD pipelines.

• Proficient in Python programming.

• Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment.

• Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products.

• Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes.

Senior - Basic qualifications

• 7+ years of DevOps experience including Infrastructure automation, building CICD pipelines.
• Good in System design and writing comprehensive technical design docs
• Proficient in Python programming.
• Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment.
• Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products.
• Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes.

Other Qualifications:

• Machine learning background.

• Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices.

• Building comprehensive monitoring services.

• Prior experience with enterprise SaaS products.

• Experience with monitoring tools like Grafana.

• Passion for creating and maintaining documentation and troubleshooting run books.

• Availability for on-call support on a rotating basis.

• Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD

• BS/MS in Computer Science or a related technical field.

• Excellent problem-solving skills with a focus on creating and maintaining accurate documentation.

• Strong teamwork and communication skills, along with the ability to effectively prioritize multiple tasks in a fast-paced environment.

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

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.

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.

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