Staff Engineer leading AWS integrations, microservices, and AI automation for EverCommerce’s SaaS service - commerce platform. Designing scalable solutions and guiding engineers across U.S. and Canadian teams.
About the role
- Principal Software Development Engineer on AI Model Serving team at Workday. Leading technical direction and design decisions for large-scale distributed systems and machine learning deployment.
Responsibilities
- Help set the product vision for the AI Model Serving platform in partnership with the engineering manager.
- Lead the team technically by making critical design decisions that drive performance, reliability, and scalability across the platform.
- Design, implement, and maintain large-scale systems that enable moving ML models to production.
- Write design documents to build consensus for new system components and enhancements to existing components.
- Evaluate and uptake new technologies made available within Workday and across the broader industry.
- Troubleshoot, improve, and scale continuous integration software pipelines.
- Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
- Respond to alerts and debug production issues to maintain platform health and reliability.
- Review pull requests and enforce consistency, performance, readability, and security across code bases.
- Develop documentation to share knowledge with other engineers.
Requirements
- 8+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
- Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Deep experience designing, building, and scaling production-grade distributed systems.
- Understand the full software development lifecycle — from coding standards and testing to code reviews, source control management, and deployment.
- Bring a product-oriented perspective to platform engineering.
- Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
- Familiarity with both large language models and traditional machine learning models.
- Experience with Ray and Ray Serve for distributed model serving at scale.
- Experience with Prometheus for monitoring and observability of distributed systems.
- Excellent written and verbal communication skills.
- Collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment.
Benefits
- Workday Bonus Plan or role-specific commission/bonus
- Annual refresh stock grants
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