Sr Software Engineer (Distributed Systems)

Workday

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profile Job Location:

Chennai - India

profile Monthly Salary: Not Disclosed
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

The Data Warehouse Core team is part of Workdays Data Platform Engineering organization where our mission is to bring together Workdays data products and technologies to build the next-generation secure and at-scale data platform enabling customers to build AI-native applications and agents.

Our teams focus is on enabling and supporting bi-directional zero copy of data efficient storage processing and querying over tens of billions of rows within a tenant. We bring deep expertise in distributed systems data processing frameworks and database internals the foundational building blocks that power Workdays data cloud. More specifically the areas we work on include:
Storage and management of structured Tables
Table DML (e.g. batch updates) and DDL operations
Data types query languages and operators for data transformation
Materialization of complex query plans (Views/Materialized Views) over large base data
Scheduling and orchestration of long running batch jobs

What makes this team exciting is the scale and impact of the problems we the year ahead we will be focused on Workdays data cloud projects building the infrastructure that underpins how customers access move and analyze their data. If you are energized by designing systems that operate at massive scale and shaping the future of enterprise data this is the team for you.

About the Role

As part of Workdays Data Platform Engineering org you will be responsible for building and enhancing Workdays data cloud features. You will work with a top-notch team to architect and build features in our distributed ingestion transaction and query processing engines. You will be responsible for developing algorithms and techniques for supporting fast efficient transactions and queries over large scale data in a multi-tenanted cloud environment.

About You

You are an engineer who is passionate about software development and takes pride in your work. You think and code in terms of well defined abstractions. You enjoy coming up with novel solutions and can clearly articulate the value to stakeholders. You are excited about working as part of a team of engineers. You understand the importance of doing what is right for the customer. You have a strong interest in learning about and developing data management and distributed data processing frameworks and algorithms. You are a fast learner and enjoy learning new technical areas such as languages and frameworks. You can make all of this happen using Scala and Java while getting exposure to Apache Spark and other related distributed computing frameworks.

Basic Qualifications

  • 7 years using any of the following programming languages: Java Scala C Go or Rust

  • 3 years development experience in relevant domain areas (e.g. database internals distributed system application JVM performance tuning Cloud/SaaS Services etc.)

Other Qualifications

  • Background in data warehousing database system internals and/or distributed systems

  • Expertise in distributed data processing engines or data management systems

  • A strong understanding of SQL

  • Knowledge of Apache Spark and Spark SQL internals

  • Expertise in one or more of: Kubernetes Apache Iceberg Trino

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles If so ask your connection at Workday about our Employee Referral process!


Required Experience:

Senior IC

Your work days are brighter here.Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on w...
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Seamlessly manage your people, money, and agents on an open, unified platform with AI at the core. It’s a new work day.

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