infrastructure
Posted 1 weeks agoSenior Backend Platform Engineer
at Workday
IsraelHybrid
Responsibilities
- Standardize Tooling: Create and maintain repository skeletons and shared internal libraries to promote code reuse and consistency across teams.
- Collaborate & Optimize: Partner with Data, DevOps, and product teams to identify performance bottlenecks and architect scalable cloud infrastructure solutions.
Requirements
- We’re 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, we’re shaping the future of work so teams can reach their potential and focus on what matters most.
- About the Team HiredScore is the newest addition to the Workday family! HiredScore provides deeply integrated AI solutions to F500 recruiting, sourcing, DE&I, and talent management teams.
- Core AI products include compliant and bias-free candidate scoring for active applicants and automated sourcing of passive candidates from existing ATS, CRM, HCM, VMS and other internal systems.
- HiredScore also offers a first-of-its-kind Diversity AI Module that is on the forefront of innovation in the DE&I technology category.
- experience by building and maintaining core backend systems that enhance our platform's functionality, architecture, and scalability.
- Backend Development: Design and develop core backend systems and APIs using Python and other modern asynchronous backend technologies.
- AI-Assisted Developer Tooling: Integrate, govern, and scale modern AI capabilities and automated workflows into our core developer pipelines to maximize engineering velocity. About You Basic
- Qualifications 6+ years of professional backend experience, with a focus on Python (experience in Go/Java/Nodejs is highly valued).
- A proven track record of designing and building complex, large-scale systems, microservices architectures, and high-concurrency cloud applications. Strong
- experience working within cloud-native environments (AWS preferred) and deep familiarity with Kubernetes and modern CI/CD pipelines.
- High efficiency in leveraging AI coding assistants to accelerate the development lifecycle.
- Self-driven with the ability to navigate ambiguity, architect long-lasting solution patterns, and partner effectively with cross-functional engineering teams. Other