Senior Software Development Engineer, Workday

• You are a highly motivated and skilled Software engineer with a passion for data and a desire to make a real impact on Workday's Machine Learning 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 and Data Engineering
• BSc or MSc in Computer Science/Computer Engineering or equivalent experience
• 8+ years of experience in Software Engineering, Distributed Systems or a related field
• 3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
• 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, 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 with Data Engineering technologies such as Apache Avro, Apache Kafka, Apache Flink, Apache Spark, Apache Iceberg
• Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform) and Cloud providers (AWS, GCP)
• Track record of working with logging, monitoring, metrics, stats technologies, such as: Grafana, Prometheus, Kibana, Hive, etc
• Experience being responsible for a service in production with experience of production triage and on-call

• Our passion, as part of the Machine Learning (ML) organisation, is to deliver on critical company goals
• We are the data streaming team (aka Zonda) and develop the platform for the critical ML data pipelines
• In this role, you will contribute to the development and maintenance of critical data pipelines that power Workday's Machine Learning initiatives
• You'll be working hands-on with technologies like Java/Scala, Python, Flink/Spark, Kafka, Terraform/Kubernetes, and Iceberg, to name a few
• You'll also be a key player in an exciting project to build out our new, ultra-modern ML data ingestion pipeline, leveraging state-of-the-art managed services within the Cloud

• Company equity
• Vision and dental insurance
• Work from home opportunities
• Health insurance
• Virtual primary care
• Flexible time-off policy
• Global mental health resources
• Global dedicated on-site clinical counselors
• Global well-being days
• $25k fertility/family planning benefits
• North Star financial wellness
• Retirement funds and matching

Total funding: $215.3m

Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.