Software Engineer / Senior Software Engineer (Data Hub)

Join Workday's Data Hub team, an AI/MLOps centered data engineering group. As a Software Engineer/Senior Software Engineer, you will contribute to a cloud ops platform that ingests, computes, and surfaces data for key Workday applications. You will work with technologies such as Kubernetes, Spark, Python, Java, and AWS. The ideal candidate has 6+ years of experience in software engineering, distributed systems, or a related field, and proficiency in at least two programming languages.

- Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Kubernetes, Terraform AWS Cloud Infrastructure
- Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
- 6+ years of experience in Software Engineering, Distributed Systems or a related field
- 3+ years in cloud engineering or related field(s)
- 3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
- 3+ years of experience in Software Engineering, Distributed Systems or a related field
- BSc or MSc in Computer Science/Computer Engineering or equivalent experience
- Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform)
- Experience utilizing AI-Code Generation tools such as ClaudeCode, Windsurf, Cursor etc
- Experience creating scalable service endpoints to retrieve data
- Track record of working with logging, monitoring, metrics, stats technologies, such as: Grafana, Prometheus, Kibana, Hive, etc
- Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology
- A testing/quality approach - unit, system/integration and end-to-end testing, TDD, feature toggles, and canary deployments
- Exposure to operating system concepts covering memory and storage, threading and concurrency, networking and sockets, and process management
- An understanding and experience with topics related to performance and scale, security, availability, deployment and operations
- Experience being responsible for a service in production with experience of production triage and on-call