AI Platform Engineer – Backend, Kubernetes & SDLC

Workday; Colorado; On-site; USD 120,000 - 190,000; Full time

Job summary

Workday in Colorado is seeking a Software Development Engineer to join the AI Infrastructure Platform team. You will design backend services in Python, run distributed systems on Kubernetes, and help scale AI-powered workflows across the SDLC.

You’ll collaborate with data scientists, platform engineers, product managers, and other developers to deliver production-ready tooling, observability, and developer experiences that accelerate delivery for millions of users.

Qualifications

• 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, especially related to their deployment and operational tooling.
• Experience designing systems with a focus on reliability, scalability, observability, and maintainability.
• Strong understanding of APIs, asynchronous processing, and service-oriented architecture.

Responsibilities

• Build and maintain services and tooling that support agent deployment, testing, and lifecycle management within the CI/CD pipeline.
• Develop systems for workflow coordination, state management, and tool integration in the context of development and operations.
• 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 in development and production.
• 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 and development infrastructure.
• Participate in design discussions and contribute to system architecture and technical decisions.

Skills

Python

Distributed systems

Kubernetes

APIs

ML familiarity

Education

Bachelor’s degree in Computer Science, Engineering, or related discipline

Tools

Docker

Job description

Workday in Colorado is seeking a Software Development Engineer to join the AI Infrastructure Platform team. You will design backend services in Python, run distributed systems on Kubernetes, and help scale AI-powered workflows across the SDLC.

You’ll collaborate with data scientists, platform engineers, product managers, and other developers to deliver production-ready tooling, observability, and developer experiences that accelerate delivery for millions of users.