Senior Software Engineer/Software Engineer

Who you are

• You are a highly motivated and skilled Software engineer with a passion for data engineering and machine learning
• You strive to apply technology to drive real impact on Workday's business initiatives
• You thrive in a collaborative environment, working closely with your colleagues to deliver innovative solutions
• You possess excellent communication skills, actively listening to understand different perspectives and effectively conveying technical ideas
• You are eager to contribute to a high-performing team and are driven to continuously learn and grow in the ever-evolving world of Distributed Systems, Data Engineering, and Machine Learning
• Basic Qualifications - Senior Software Engineer (Required)
• 7+ years of experience in Software Engineering, Distributed Systems or a related field
• Basic Qualifications - Software Engineer III (Required)
• 5+ years of experience in Software Engineering, Distributed Systems or a related field
• Other Qualifications:
• 4+ years proficiency in at least two of the following programming languages: Java, Scala, Python
• 4+ years in data engineering or related field(s)
• Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
• Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, Apache Flink
• BSc or MSc in Computer Science/Computer Engineering or equivalent experienceExperience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualization (Docker), orchestration (Kubernetes, Terraform)
• 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

What the job involves

• In this role, you will contribute to the ingestion, discoverability, governance, derivation, and serving of data for Workday's Classic Machine Learning and agentic initiatives
• You'll be working hands-on with technologies like Python, Spark, AWS Infra, Kafka, Terraform/Kubernetes, and Iceberg

The application process

• The application deadline for this role is the same as the posting end date stated as below:
• 09/03/2026