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 Data Platform and Observability team is based in Dublin, Ireland. We enable real time insights across Workday’s applications. Our focus is on the development of a large scale data platform to support critical Workday applications. Our platform helps the Workday applications to be highly available and derive insights into data with highly efficient utilization of data services.The team provides software for collection and storage of critical data assets. We handle Petabytes of data in the form of trillions of messages produced monthly and millions of messages/sec in our stream processing pipeline. In our world every optimization and millisecond gained matters. If you enjoy writing software that scales or tuning and scaling large distributed systems you will enjoy working with us.Do you want to work on using Workday’s vast computing resources with its rich and extensive datasets? If so, we should chat!About the RoleArchitect, design and build critical Kubernetes orchestrated Data Platform and Infrastructure services that need high reliability and availability at scale.Drive significant technology initiatives end to end and across the Workday technology organization.You will build a distributed and highly available data processing framework for moving data from a variety of source systems to various persistence stores.Build Stream processing software to ingest, process, enrich and store various data assets.Work on aspects of data processing with a keen eye for data quality, data integrity and data availability.Evaluate/implement new open source and cloud native tools and technologies.Provide technical leadership and be a role model to software engineers pursuing technical career path in engineeringParticipate in the on-call rotationAbout YouBasic QualificationsYou love building distributed applications that make use of innovative technologies such as containerisation, public clouds, etc.5+ years of experience in building high performance data ingestion software and solving for concurrency, latency and efficiency.Strong systems engineering background and a consistent record of delivering high quality products at scale.Experience with at least one of the following software development languages (in no particular order): Golang, Python and Java.You have an understanding of high performance data capture and collection systems, how to design APIs around these systems, and how to ensure reliable delivery of data.Ability to prioritize multiple tasks in a fast-paced environment.Able to influence and communicate effectively with both technical and non-technical peopleYou have excellent interpersonal, technical and communication skills.Other QualificationsYou understand the internals of technologies like Prometheus and MimirExperience working with Public cloud (AWS preferred).Experience with Grafana stack (Grafana, mimir)Hands on experience with Kubernetes, Containers, Service Mesh and related technologies.Experience with Cloud infrastructure automation - Terraform, ArgoCD, chef, etcExperience in concurrency, algorithms, distributed memory management, communication protocols, distributed programmingStrong mentoring skillsOur 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!
View Original Job Posting