Sr Software Development Engineer Distributed Systems

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

About the Role

In this role you will be architecting building and delivering the platform capabilities and services that power our Apache Iceberg zero-copy data lake solution. You will work on unlocking and unifying real-time and analytical data from Workdays core operational business applicationsincluding Human Capital Management (HCM) Financial Management Recruiting and morewithout costly data duplication or heavy ETL overhead.

You will focus on building robust high-performance services that expose transactional application engine data as optimized Iceberg tables ensuring strict consistency advanced metadata management schema evolution and multi-cloud data accessibility for both internal analytical engines and external third-party consumers.

About You

As a Senior Software Engineer on the OMS Data Lake team these are the Core Competencies we would expect you to have:

• Programming Languages: Java (Primary) Scala or Python

• Data & Storage Engines: Apache Iceberg Apache Spark Large-scale Database Internals (Relational NoSQL and Columnar Engine Concepts)

• Distributed Systems: Distributed Processing Query Execution/Optimization Storage-Compute Separation High-Throughput Service Mesh

• Cloud Infrastructure: Multi-Cloud Managed Services: Amazon Web Services (AWS) & Google Cloud Platform (GCP)

Basic Qualifications:

• 8 years of deep experience in Software Engineering Big Data Platform Architecture Distributed Systems or a related technical field.

• 5 years of production-level experience designing and implementing highly concurrent software using Java.

• Proven expertise with large-scale data processing frameworks like Apache Spark or Trino and modern open table formats such as Apache Iceberg and Parquet.

• Strong working knowledge of deploying tuning and maintaining data services within cloud-managed ecosystems across AWS and GCP.

Other Qualifications:

• BSc MSc or PhD in Computer Science Computer Engineering or an equivalent technical field.

• Deep foundational understanding of database technologies transaction processing (ACID properties) query execution plans and file formats.

• Exposure to operating system concepts including memory and storage management threading concurrency control and networking.

• Proficient in designing and maintaining sophisticated object-oriented software following clean code principles and API design.

• Experience with production resiliency monitoring and debugging massive data platform infrastructure (e.g. Grafana Prometheus Kibana).

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Our Approach to Flexible Work

With Flex Work were 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 youll 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.

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.

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