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.About the TeamThe distributed Systems team is looking for Software Engineers to join their incredible team. The team designs, develops, troubleshoots and debugs software programs for improvements as well as contributing to new products. We develop software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools.We determine hardware compatibility and/or influences hardware design. We straddle both applications and systems, and we are needing someone who has the same interest as us.About the RoleAs part of Workday’s Prism Analytics team, you will be responsible for the integration of our Big Data Analytics stack with Workday's cloud infrastructure. You will work on building, improving and extending large-scale distributed data processing frameworks like Spark, Hadoop, and YARN in a multi-tenanted cloud environment. You will also be responsible for developing techniques for cluster management, high availability and disaster recovery of the Analytics Platform, Hadoop and Spark services. You will also engineer smart tools and frameworks that provide easy monitoring, troubleshooting, and manageability of our cloud-based analytic services.About YouBasic Qualifications (Mid Level)At least 3+ years of software development experience3+ years of experience using JavaBasic Qualifications (Senior)At least 5+ years of software development experience5+ years of experience using JavaBasic Qualifications (Principal) At least 7+ years of software development experience7+ years of experience using JavaOther QualificationsExperience in building Highly Available, Scalable, Reliable multi-tenanted big data applications on Cloud (AWS, GCP) and/or Data CenterKnowledge of distributed system techniquesExperience with Scala, LinuxExperience with managing big data frameworks like Spark and/or HadoopUnderstanding of resource management using YARN, Kubernetes, etc.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
View Original Job Posting