Senior Software Engineer, Workday
€96-144k
More information about location
Enterprise AI platform for managing HR and finance
Be an early applicant
Enterprise AI platform for managing HR and finance
1001+ employees
Be an early applicant
€96-144k
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 8+ years of professional software engineering experience, with a proven track record of delivering production-grade systems
- 4+ years of hands-on experience designing, building, and operating large-scale distributed systems across public or private clouds
- Deep foundational knowledge of distributed computing principles, including consistency models, concurrency, high availability, and fault tolerance
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
Desirable
- Data Compute & Orchestration: Strong experience working with large-scale data processing frameworks (specifically Apache Spark) and container-native infrastructure or resource schedulers (e.g., Kubernetes, YARN)
- Algorithmic & System Design: Demonstrated ability to apply advanced algorithmic thinking and data structures to solve complex scalability, scheduling, and resource management problems
- API & Architecture: Solid experience designing and implementing robust, scalable APIs (e.g., REST, gRPC) and microservices that support multi-tenant architectures
- Software Craftsmanship: Deep understanding of Object-Oriented or Functional design principles, with proficiency in languages commonly used in data infrastructure (e.g., Java, Scala, Go, or C++)
- Resiliency & Observability: Practical knowledge of building highly available systems, including implementing load balancing, redundancy, observability, and cost-efficient scaling strategies
- Quality & Testing: Strong testing discipline, including unit, integration, and contract testing within a distributed environment to ensure system reliability under heavy workloads
- Security Best Practices: Solid understanding of system security principles relevant to cloud and distributed environments, including authentication, authorization, and secure data access
- Collaboration & Leadership: Proven ability to own problems end-to-end, collaborate cross-functionally (with SRE, Product, and other engineering teams), and mentor peers
- Technical Communication: Excellent technical writing skills, with the ability to author clear, comprehensive architecture designs, system documentation, and runbooks
What the job involves
- We’re the infrastructure team behind Workday's data analytics platform, responsible for building and operating the distributed systems that power analytics at scale across both public and private clouds
- Our work supports a rapidly growing customer base, expanding global regions, and increasingly complex data workloads. As we evolve the platform, our focus is on delivering highly available, performant, and cost-efficient infrastructure that can scale intelligently and operate reliably under pressure
- As part of this team, you’ll help shape the next generation of compute infrastructure for Workday analytics. You’ll work on distributed systems that support massively parallel data processing, with a focus on performance, reliability, and simplicity at scale
- We work closely with product, SRE, and engineering partners to solve real-world problems—from enabling on-demand compute for Spark workloads to improving system efficiency and observability. We value clear strategy, long-term thinking, and a culture where engineers are empowered to own problems end to end
- We’re building a scalable, multi-tenant data platform that supports Apache Spark on both Kubernetes and YARN, serving diverse workloads across private and public clouds
- Design, build, and debug distributed software systems that run across multiple platforms and environments
- Develop tools and services that support efficient resource management, scheduling, and concurrency
- Work with technologies like Apache Spark, Kubernetes, and container-native infrastructure
- Balance system design trade-offs and collaborate across teams to deliver infrastructure that’s resilient, observable, and easy to operate
- Support large-scale data workloads with strong focus on performance, cost, and customer experience
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
16% employee growth in 12 months
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 & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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