Principal, Software Engineer (Distributed Systems) - MSC - DPOE Engineering - Pleasanton

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

The Data Platform and Observability team is based in Pleasanton,CA; Boston,MA; 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.

Do you want to tackle exciting challenges at massive scale across private and public clouds for our 10000+ global customers? Do you want to work with world class engineers and facilitate the development of the next generation Distributed systems platforms? If so, we should chat.

About the Role

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, FIN, 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!

About You

Basic Qualifications

• 18+ years of software engineering, architecture, systems, infrastructure and platforms experience. Deep expertise in distributed systems and prior experience running large scale SaaS platforms. Deep systems and networking expertise working on hybrid environments, both on-premise and cloud.
• 5+ years of product development and DevOps experience in designing and operating large-scale deployments, specifically of RabbitMQ, Redis and Kafka technologies.
• Excellent record of high achievements in the area of architecture, implementation and operations across at least 3-4 services and products.
• Proven record of mentoring workmates in the double digits at various career levels and helping them grow within the organization.
• Excellent written, oral and presentation skills with visibility at the executive management level. Proven ability to influence executive management, peers and leaders across the organization.

Other Qualifications

• a consistent track record of technical project leadership and success involving collaborators and interested partners across the enterprise.
• proven expertise in developing distributed system software and deployments that scale and beat industry benchmark levels.
• proven hads-on experience with complex open source