Description
We are looking for Software Development Engineers to help build the AI Infrastructure Development Platform: the platform 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 the Software Development Life Cycle (SDLC) for AI applications. You’ll work on problems spanning distributed systems, orchestration, and developer experience, helping teams reliably build, test, and scale AI-powered workflows.
Key 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.
Basic 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.
- Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. 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.
Primary Location: USA.CO.Boulder Primary Location Base Pay Range: $130,400 USD - $195,600 USD Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD