Software Development Engineer

Workday; Ireland; On-site; EUR 120,000 - 170,000; Full time

Job summary

Workday is seeking a senior software engineer to join the Data Platform and Observability team in Dublin, Ireland. You will design, build and operate core distributed services (Kafka, Redis, RabbitMQ) across private and public clouds, with strong emphasis on observability and performance under heavy load.

You will lead features from concept to deployment, work with global teams, and help scale large-scale NoSQL deployments while maintaining reliability and efficiency in our platform for 10000+

Qualifications

• Senior software engineer with distributed systems background and experience with Kafka, Redis, RabbitMQ or Zookeeper.
• Led features and deployed large-scale NoSQL clusters from conception to deployment.
• 5+ years in Kafka/Redis/RabbitMQ administration with cloud platform experience.
• 4+ years designing and operating large-scale distributed systems deployments.
• 3+ years DevOps and development work across distributed NoSQL and messaging systems.

Responsibilities

• Design, build and operate core distributed services including Kafka/Redis/RabbitMQ.
• Develop and tune distributed systems for resiliency and scalability across clouds.
• Construct observability modules, alerts and automation for dashboards and lifecycle.
• Manage deployments on Kubernetes, OpenStack, and bare metal environments.
• Collaborate with product teams to enable Workday platform features at scale.
• Participate in on-call rotations and optimize performance under load.

Skills

Distributed systems

Kafka

Redis

RabbitMQ

Zookeeper

Java/Scala

Golang

Kubernetes

CI/CD

DevOps

Tools

Cassandra

OpenStack

Helm

ArgoCD

Job description

• 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
• 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 environments

You are a senior software engineer with a distributed systems background and significant experience in distributed systems products like Kafka, Redis, RabbitMQ or ZookeeperYou have independently led product features and deployed on large scale NoSQL clusters1+ year of leading a NoSQL technology related product right from conception to deployment and maintenance5+ years of experiences as a Kafka, Redis or RabbitMQ Admin with cloud platform experience4+ years of distributed systems experience3+ years of development and DevOps experience in designing and operating large-scale deployments of distributed NoSQL & messaging systems5+ years of software engineering experience using one or more of the following: Java/Scala, GolangA consistent track record of technical project leadership and success involving collaborators and interested partners across the enterpriseHands-on experience with atleast one or more of distributed systems technologies like Kafka/RabbitMQ, Redis, CassandraExpertise in developing distributed system software and deployments that perform well and degrade gracefully under excessive loadExperience learning complex open source service internals via code inspectionExtensive experience with modern software development tools including CI/CD and methodologies like AgileExpertise with configuration management using Chef and service deployment on Kubernetes via Helm and ArgoCDExperience with Linux system internals and tuningExperience with distributed system performance analysis and optimizationStrong written and oral communication skills and the ability to explain esoteric technical details clearly to engineers without a similar backgroundPreferred Experience – EU Sovereign Cloud (EU-SOV)Candidates with experience supporting EU Sovereign Cloud (EU-SOV) or other regulated cloud environments are highly preferred