Principal, Software Engineer

Job Description

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

Workday Prism Analytics is a self-service analytics solution for Finance and Human Resources teams that allows companies to bring external data into Workday, combine it with existing people or financial data, and present it via Workday's reporting framework. This gives the end user a comprehensive collection of insights that can be carried out in a flash.

We design, build and maintain the data warehousing systems that underpin our Analytics products. We straddle both applications and systems, the ideal candidate for this role is someone who has a passion for solving hyper scale engineering challenges to serve the largest companies on the planet.

About the Role

As part of Workday's Prism Analytics team, you will be responsible for the integration of our Big Data Analytics stack with Workday's cloud infrastructure. You will work on building, improving and extending large-scale distributed data processing frameworks like Spark, Hadoop, and YARN in a multi-tenanted cloud environment. You will also be responsible for developing techniques for cluster management, high availability and disaster recovery of the Analytics Platform, Hadoop and Spark services. You will also engineer smart tools and frameworks that provide easy monitoring, troubleshooting, and manageability of our cloud-based analytic services.

About You

You are an engineer who is passionate about developing distributed applications in a multi-tenanted cloud environment. You take pride in developing distributed systems techniques to coordinate application services, ensuring the application remains highly available and can autoscale on demand for the applications running in various cloud architectures. You think not only about what is valuable for the development of right abstractions and modules but also about programmatic interfaces to enable customer success. You also excel in the ability to balance priorities and make the right tradeoffs in feature content and timely delivery of features while ensuring customer success and technology leadership for the company. You can make all of this happen using Java, Spark, and related Hadoop technologies.

Basic Qualifications

- 12+ years of software engineering experience
- 8+ years of distributed systems engineering experience (using Java, Scala or other languages) with deep Linux/Unix expertise.

Other Qualifications

- Experience in building Highly Available, Scalable, Reliable multi-tenanted big data applications on Cloud (AWS, GCP) and/or Data Center architectures.
- Working knowledge of distributed system principles.
- Experience with managing big data frameworks like Spark and/or Hadoop.
- Understanding of resource management using YARN, Kubernetes, etc.
- Collaborate with others on the SRE team to help set technical direction while ensuring requirements are met.
- Capable of designing and implementing software able to manage the tradeoffs between data consistency, availability, partition tolerance.
- Experienced in developing, designing and deploying software and tools in support of a data processing systems, including highly concurrent transaction processing, distributed memory management, communication protocols, and efficient distributed data algorithms.

Our 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

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