Software Engineer and Senior Software Engineer AI Platform

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

We are looking for Software Development Engineers to help build our Agent Platformthe infrastructure that enables teams to develop deploy and operate AI agents in production.

In this role you will design and implement backend services systems and tooling that support agent-based applications. Youll work on problems spanning distributed systems orchestration and developer experience helping teams reliably build and scale AI-powered workflows.

This is a great opportunity for an engineer who enjoys building production systems solving complex technical problems and working at the intersection of backend engineering and AI.

Responsibilities:

• Build and maintain backend services that support agent execution orchestration and lifecycle management.

• Develop systems for workflow coordination state management and tool integration.

• Write high-quality maintainable code in Python to power platform capabilities and APIs.

• Deploy and operate services on Kubernetes ensuring reliability and scalability.

• Contribute to systems for observability logging tracing and debugging of distributed workflows.

• Improve system performance across latency throughput and fault tolerance.

• Build internal tools and APIs that improve the developer experience for teams using the platform.

• Collaborate with engineers product managers and AI teams to deliver production-ready solutions.

• Participate in design discussions and contribute to system architecture and technical decisions.

About You

Basic Qualifications (Software Engineer):

• 3 years of software development experience building backend systems or services.

• Strong proficiency in Python (or similar languages such as Go or Java).

• Experience designing and building distributed systems and scalable services.

• Experience running and operating services in Kubernetes-based environments.

• Familiarity with machine learning or LLM-powered applications and the challenges of running them in production.

• Experience designing systems with a focus on reliability scalability observability and maintainability.

• Strong understanding of APIs asynchronous processing and service-oriented architecture.

• Bachelors degree in Computer Science Engineering or related discipline or equivalent practical experience.

Basic Qualifications (Senior Software Engineer)

• 5 years of software engineering experience building and operating production-grade backend or platform systems.

• Strong proficiency in Python (or similar languages such as Go or Java).

• Experience designing and building distributed systems and scalable services.

• Experience running and operating services in Kubernetes-based environments.

• Familiarity with machine learning or LLM-powered applications and the challenges of running them in production.

• Experience designing systems with a focus on reliability scalability observability and maintainability.

• Strong understanding of APIs asynchronous processing and service-oriented architecture.

• Bachelors degree in Computer Science Engineering or related discipline or equivalent practical experience.

Other Qualifications:

• Ability to navigate ambiguity make sound technical decisions and drive projects end-to-end.

• Strong collaboration and communication skills.

• Experience working on platforms infrastructure or developer tooling.

• Familiarity with workflow orchestration or multi-step processing systems.

• Experience with monitoring logging and observability tools.

• Familiarity with cloud platforms and modern deployment practices (CI/CD).

• Experience building or supporting platforms developer infrastructure or internal tooling.

• Experience with agent-based systems workflow orchestration or complex multi-step pipelines.

• Exposure to LLM-based applications or agent-style architectures.

• Familiarity with LLM application patterns such as: Tool integration Retrieval-augmented generation (RAG) Context and memory management and/or Multi-step workflows

• Experience with observability stacks tracing systems and debugging distributed workflows.

• Familiarity with model serving vector databases or evaluation frameworks.

• Experience mentoring engineers and contributing to technical direction.

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 candidates 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 Workdays comprehensive benefits please click here.

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.

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.

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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