Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
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About the Team
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.
About the Role
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.
About You
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.
Basic Qualifications
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BSc or MSc in Computer Science/Computer Engineering or equivalent experience
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8+ years of experience in Software Engineering, Distributed Systems or a related field
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3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
Other Qualifications
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Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology;
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A testing/quality approach - unit, system/integration and end-to-end testing, TDD, feature toggles, canary deployments;
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Exposure to operating system concepts covering memory and storage, threading and concurrency, networking and sockets, and process management
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An understanding and experience with topics related to performance and scale, security, availability, deployment and operations
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Experience with Data Engineering technologies such as Apache Avro, Apache Kafka, Apache Flink, Apache Spark, Apache Iceberg.
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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)
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Track record of working with logging, monitoring, metrics, stats technologies, such as: Grafana, Prometheus, Kibana, Hive, etc.
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Experience being responsible for a service in production with experience of production triage and on-call
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
