Enterprise · HR & finance software
Currently tracking 38 active AI roles, up 97% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $216k).
| Title | Stage | AI score |
|---|---|---|
| SRE / DevOps Engineer (GoLang) Workday is seeking a Site Reliability Engineer (SRE) / DevOps Engineer with GoLang experience to join their Cloud Platform SRE team in Auckland, New Zealand. This role focuses on ensuring the reliability, availability, and observability of the cloud platform that hosts Workday's engineering and customer environments. The team utilizes a cloud-native tech stack including Kubernetes, Istio, OPA, GoLang, Prometheus, and Grafana, and operates with scrum practices and a follow-the-sun on-call model. Responsibilities include identifying and resolving reliability issues, designing automation solutions, developing SLIs/SLOs, partnering with service teams on SRE standards, and contributing to incident response and root cause analysis. The ideal candidate has 1-8 years of experience in SRE/DevOps, hands-on experience with distributed systems in public cloud environments (AWS, GCP, Azure), and proficiency in GoLang, Python, or Ruby, with a preference for Go. | — | 0 |
| Manager Site Reliability Engineer Workday is seeking an Engineering Manager for their Database Reliability Engineering team. The role focuses on leading a team to ensure the performance, scale, and high availability of Workday's data infrastructure, treating infrastructure as software and leveraging open-source and cloud-native solutions. The manager will architect the future of data infrastructure, moving beyond traditional DBA roles to automated, self-healing platforms, and will mentor senior engineers. |
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| 0 |
| Sr Distributed Systems Engineer (DevOps) This role is for a Senior Distributed Systems Engineer (DevOps) at Workday, an AI platform company. The engineer will focus on designing and automating cloud infrastructure (AWS, GCP), managing CI/CD pipelines, and ensuring high availability and performance of distributed systems. The role involves collaborating with engineering teams, securing infrastructure, and building monitoring systems. While the company develops AI technology, this specific role is in DevOps/Infrastructure, not directly building AI models or agents. | — | 0 |