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 TeamWelcome to the Big Data Services team! We are responsible for the big data platform at Workday on both on-premise and public cloud. We provide highly available and scalable data services related to persistence, compute and enterprise security. Our services enable Workday to quickly and efficiently scale to meet the needs of our multi-billion-dollar customer base. We are crucial to the Workday Analytics family of products. We power reporting, analytics, machine learning, and other data-centric applications. We are constantly innovating and challenging the way we do things.About the RoleThe Workday Big Data Platform team is seeking enthusiastic, innovative, experienced, self-motivated engineers to design and implement best in class solutions in one of the biggest hybrid-cloud environments on Earth. The successful candidate will be responsible for designing, developing, troubleshooting and debugging distributed software programs for enhancements and new products across multiple disciplines and multiple platforms. Capable of designing and implementing software able to manage the tradeoffs between data consistency, availability, partition tolerance. Develop, design and deploy software and tools in support of a data processing system, including highly concurrent transaction processing, distributed memory management, communication protocols, and efficient distributed data algorithms.We're committed to your career growth. If you are willing to bring your experience and passion to make this role a success, our commitment is to continue to develop your skill set and foster your success in this role and in your career at Workday.In this role you will:Rapidly build new applications and automate operationsModernize our on-premise Hadoop infrastructure to provide public cloud-like servicesWork on multiple types of software development including REST services, logging/monitoring, and DevOps.Collaborate with other team members to deliver innovative tools that solve challenging problemsImprove our teams technical capabilities by applying cutting-edge technologiesServe in an on-call rotation for handling urgent production issuesAbout YouSenior Software Engineer: Basic Qualifications7+ years of software engineering experience5+ years of distributed systems engineering experience utilizing one or more of the following: Java, Scala, Python, GolangWorking knowledge of build automation and CI/CD pipelines (e.g. Jenkins, Bamboo)Self-motivated, detail-oriented, and likes to solve problemsBachelor's Degree or higher. A Computer Science degree is preferable.Excellent verbal and written communication and presentation skillOther QualificationsGood understanding of how Hadoop/Spark cluster worksFamiliar with distributed computing design patternsExperience managing deployments with Kubernetes and Docker containerGeneral knowledge about public cloud capabilities and architectureSoftware Engineer Basic Qualifications5+ years of software engineering experience3+ years of distributed systems engineering experience utilizing one or more of the following: Java, Scala, Python, GolangWorking knowledge of build automation and CI/CD pipelines (e.g. Jenkins, Bamboo)Self-motivated, detail-oriented, and likes to solve problemsBachelor's Degree or higher. A Computer Science degree is preferable.Excellent verbal and written communication and presentation skillOther QualificationsGood understanding of how Hadoop/Spark cluster worksFamiliar with distributed computing design patternsExperience managing deployments with Kubernetes and Docker containerGeneral knowledge about public cloud capabilities and architectureAre you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
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