Senior Associate Software Development Engineer (Big Data Services)
About the role
- Welcome to the Big Data Services team! We are responsible for the Big Data Platform that serves Workday analytics and machine-learning applications running in our private data centers, AWS, and GCP
- We provide a highly-available, highly-scalable data services platform 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
- The Workday Big Data Platform team is seeking enthusiastic, innovative, self-motivated engineers to craft and implement outstanding solutions in one of the biggest hybrid-cloud environments on Earth
- The successful candidate will be responsible for designing, implementing, and supporting our fault-tolerant, high-performance platform for data analytics
- Develop scalable solutions for both Workday private data centers and public cloud
- Rapidly build new applications and automate operations on one of the largest big data clusters on Earth
- Modernize our on-premise Hadoop infrastructure to provide public-cloud-like services
- Work 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 problems
- Improve our teams technical capabilities by applying cutting-edge technologies
- Serve in an on-call rotation for handling urgent production issues- 2+ years of distributed systems engineering experience, primarily in Java and Python
- 2+ years experience in software development engineering, preferably within a SaaS environment
- Familiar with agentic software development
- Knowledge of enterprise security, encryption at-rest and in-motion, authentication and authorization
- General knowledge about public cloud capabilities and architecture
- Good understanding of how Hadoop/Spark clusters work
- Excellent verbal and written communication and presentation skills
- Experience with one or more of the following: Scala, Python, Ruby
- Experience deploying to Kubernetes and Docker
- Familiar with distributed computing design patterns
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About Workday
Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries – from medium-sized businesses to more than 50% of the Fortune 500.
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Senior Associate Software Development Engineer (Big Data Services)
About the role
- Welcome to the Big Data Services team! We are responsible for the Big Data Platform that serves Workday analytics and machine-learning applications running in our private data centers, AWS, and GCP
- We provide a highly-available, highly-scalable data services platform 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
- The Workday Big Data Platform team is seeking enthusiastic, innovative, self-motivated engineers to craft and implement outstanding solutions in one of the biggest hybrid-cloud environments on Earth
- The successful candidate will be responsible for designing, implementing, and supporting our fault-tolerant, high-performance platform for data analytics
- Develop scalable solutions for both Workday private data centers and public cloud
- Rapidly build new applications and automate operations on one of the largest big data clusters on Earth
- Modernize our on-premise Hadoop infrastructure to provide public-cloud-like services
- Work 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 problems
- Improve our teams technical capabilities by applying cutting-edge technologies
- Serve in an on-call rotation for handling urgent production issues- 2+ years of distributed systems engineering experience, primarily in Java and Python
- 2+ years experience in software development engineering, preferably within a SaaS environment
- Familiar with agentic software development
- Knowledge of enterprise security, encryption at-rest and in-motion, authentication and authorization
- General knowledge about public cloud capabilities and architecture
- Good understanding of how Hadoop/Spark clusters work
- Excellent verbal and written communication and presentation skills
- Experience with one or more of the following: Scala, Python, Ruby
- Experience deploying to Kubernetes and Docker
- Familiar with distributed computing design patterns
Not the right fit? Search for Associate Software Development Engineer jobs in Canada, BC, Vancouver, Canada {{REMOTE}}
About Workday
Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries – from medium-sized businesses to more than 50% of the Fortune 500.