Sr Software Development Engineer ML Ops

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

Key Responsibilities:

• Develop systems and tooling primarily using Python and robust software engineering practices to ensure the quick efficient and safe delivery of AI Platform Applications.

• Improve engineers ability to build test and deliver applications by continually building and improving Continuous Integration (CI) and Continuous Delivery (CD) systems.

• Emphasize a strong foundation in software engineering principles design patterns and best practices to build maintainable scalable and high-quality systems.

• Build intelligent automation solutions to reduce the cost of ownership for applications and empower engineers with self-service operational capabilities

• Work with public cloud environments (IaaS AWS GCP) with a strong focus on Kubernetes and Docker-based workflows owning feature development end-to-end including infrastructure as code.

• Collaborate closely with Tech Leads and Engineers across the AI platform Organization to gather requirements drive technical solutions and research evaluate and prototype new tools for reliable and scalable adoption.

• Maintain system reliability through proactive issue resolution process automation and participation in a rotational on-call support schedule.

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:

• Minimum of 8 years of experience in software development with a focus on managing CI/CD pipelines SDLC tooling and infrastructure automation.

• Proven ability in robust system design.

• Experience implementing CI/CD pipelines with Git and Jenkins.

• Strong proficiency in Python development and its ecosystem.

• Experience delivering and maintaining production-level customer-facing applications.

• Proficiency with containerization technologies specifically Docker and Kubernetes.

• Demonstrated ability to collaborate effectively with other AI Platform teams to drive product improvements and enhance engineering process efficiencies.

• Strong teamwork and communication skills.

• Excellent problem-solving skills with a focus on documenting solutions accurately.

• Available to participate in a rotating on-call support schedule.

Preferred qualifications:

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

• Familiarity with infrastructure automation tools like Terraform.

• Familiarity with the broader kubernetes ecosystem (Argo Istio CRDs)

• Experience with service-oriented architecture distributed systems and microservices.

• Understanding of communication protocols and RESTful services.

• Experience building and maintaining comprehensive monitoring services utilizing tools like Grafana.

• Experience developing and sustaining well-organized documentation and effective troubleshooting guides.

• Prior experience working with enterprise SaaS products.

Our Approach to Flexible Work

With Flex Work were 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 youll 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.

At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email .

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