Senior Software Development Engineer, Workday

Distributed Systems

$190.1-285.1k

AWS

GCP

Python

Scala

Java

Kibana

Spark

Prometheus

Grafana

Parquet

Senior and Expert level

San Francisco Bay Area

More information about location

Office located in Pleasanton, CA

Enterprise AI platform for managing HR, finance & IT

Job no longer available

Enterprise AI platform for managing HR, finance & IT

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Job no longer available

$190.1-285.1k

AWS

GCP

Python

Scala

Java

Kibana

Spark

Prometheus

Grafana

Parquet

Senior and Expert level

San Francisco Bay Area

More information about location

Office located in Pleasanton, CA

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.

Job

Company

Role

Who you are

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)
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
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)

What the job involves

The OMS Data Lake team is a critical component of the Workday Data Cloud platform. Our mission is foundational to Workday's enterprise strategy, directly supporting the Open Platform initiative
We build the core next-generation infrastructure that decouples storage and compute, eliminating traditional data silos and enabling seamless, secure, ecosystem-wide data access
By engineering high-throughput distributed platform services, we transform how massive enterprise datasets are managed, shared, and queried across the industry
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 Workday’s core operational business applications—including Human Capital Management (HCM), Financial Management, Recruiting, and more—without 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

Our take

Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.

The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.

Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

16% employee growth in 12 months

Glassdoor (3.5)

Trustpilot (1.1)

Company

Funding (last 2 of 5 rounds)

Oct 2011

$85m

SERIES F

Apr 2009

$75m

SERIES E

Total funding: $215.3m

Company HQ

Pleasanton, CA

Leadership

Aneel Bhusri

(Co-Founder & CEO)

Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.

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