Senior Software Engineer, Workday

• You are a senior software engineer with a distributed systems background and significant experience in distributed systems products like Kafka, Redis, RabbitMQ or Zookeeper. You have independently led product features and deployed on large scale NoSQL clusters
• 6+ years of software engineering experience using one or more of the following: Java/Scala, Golang
• 4+ years of distributed systems experience
• 3+ years of development and DevOps experience in designing and operating large-scale deployments of distributed NoSQL & messaging systems
• 1+ year of leading a NoSQL technology related product right from conception to deployment and maintenance
• Consistent track record of technical project leadership and success involving collaborators and interested partners across the enterprise
• Expertise in developing distributed system software and deployments that perform well and degrade gracefully under excessive load
• Hands-on experience with atleast one or more distributed systems technologies like Kafka/RabbitMQ, Redis, Cassandra
• Experience learning complex open source service internals via code inspection
• Extensive experience with modern software development tools including CI/CD and methodologies like Agile
• Expertise with configuration management using Chef and service deployment on Kubernetes via Helm and ArgoCD
• Experience with Linux system internals and tuning
• Experience with distributed system performance analysis and optimization
• Strong written and oral communication skills and the ability to explain esoteric technical details clearly to engineers without a similar background
• Preferred Experience – EU Sovereign Cloud (EU-SOV)
• Candidates with experience supporting EU Sovereign Cloud (EU-SOV) or other regulated cloud environments are highly preferred

Desirable

• Data Platform and Observability team is based in Pleasanton,CA, Atlanta, GA, Dublin, Ireland and Chennai, India. Our focus is on the development of large scale distributed data systems to support critical Workday products and provide real-time insights across Workday’s platforms, infrastructure and applications
• The team provides platforms that process 100s of terabytes of data that enable core Workday products and use cases like core HCM, Fins, AI/ML skus, internal data products and Observability. If you enjoy writing efficient software or tuning and scaling large distributed systems you will enjoy working with us
• The Messaging, Streaming and Caching team is a full-service Distributed Systems Engineering team. We architect and provide async messaging, streaming, and NoSQL platforms and solutions that power the Workday products and SKUs ranging from core HCM, Fins, Integrations, and AI/ML. We develop client libraries and SDK’s that make it easy for teams to build Workday products
• We develop automation to deploy and run hundreds of clusters, and we also operate and tune our clusters as well. As a team member you will play a key role in improving our services and encouraging their adoption within Workday's infrastructure both in our private cloud and public cloud
• As a member of this team you will design and build new capabilities from inception to deployment to exploit the full power of the core middleware infrastructure and services, and work hand in hand with our application and service teams!
• Design, build, and enhance critical distributed services, including Kafka, Redis, RabbitMQ etc
• Design, develop, build, deploy and maintain core distributed services using a combination of open source and proprietary stacks across diverse infrastructure environments (Kubernetes, OpenStack, Bare Metal, etc.)
• Design and develop core software modules for streaming, messaging and caching
• Construct observability modules, alerts and automation for Dashboard lifecycle management for the distributed services
• Build, deploy and operate infrastructure components in production environments
• Champion all aspects of streaming, messaging and caching with a focus on resiliency and operational excellence
• Evaluate and implement new open-source and cloud-native tools and technologies as needed
• Participate in the on-call rotation to support the distributed systems platforms
• Manage and optimize Workday distributed services in AWS, GCP & Private cloud env