Software Development Engineer, Workday
Data Platform
€72-108k
More information about location
2-3 days a week in office
Enterprise AI platform for managing HR, finance & IT
Open for applications
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Open for applications
€72-108k
More information about location
2-3 days a week in office
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- You are a senior software engineer with a distributed systems background and significant experience in distributed systems products like Kafka, Redis, RabbitMQ or Zookeeper
- You have independently led product features and deployed on large scale NoSQL clusters
- 5+ years of experiences as a Kafka, Redis or RabbitMQ Admin with cloud platform experience
- 5+ years of software engineering experience using one or more of the following: Java/Scala, Golang
- 4+ years of distributed systems experience
- 3+ years of development and DevOps experience in designing and operating large-scale deployments of distributed NoSQL & messaging systems
- 1+ year of leading a NoSQL technology related product right from conception to deployment and maintenance
Desirable
- A consistent track record of technical project leadership and success involving collaborators and interested partners across the enterprise
- Expertise in developing distributed system software and deployments that perform well and degrade gracefully under excessive load
- Hands-on experience with atleast one or more distributed systems technologies like Kafka/RabbitMQ, Redis, Cassandra
- Experience learning complex open source service internals via code inspection
- Extensive experience with modern software development tools including CI/CD and methodologies like Agile
- Expertise with configuration management using Chef and service deployment on Kubernetes via Helm and ArgoCD
- Experience with Linux system internals and tuning
- Experience with distributed system performance analysis and optimization
- Strong written and oral communication skills and the ability to explain esoteric technical details clearly to engineers without a similar background
- Preferred Experience – EU Sovereign Cloud (EU-SOV)
- Candidates with experience supporting EU Sovereign Cloud (EU-SOV) or other regulated cloud environments are highly preferred
- Operating production workloads in sovereign, government, or regulated cloud environments
- Managing Kafka, Redis and RabbitMQ in environments with strict data residency, compliance, and security requirements
- Implementing platform security controls, including IAM, RBAC, TLS, encryption, certificate management, and secrets management
- Supporting compliance initiatives such as GDPR, ISO 27001, SOC 2, or similar regulatory frameworks
- Collaborating with Security, Compliance, and Infrastructure teams to prepare for audits and maintain operational compliance
- Supporting disaster recovery, business continuity, and operational resilience for mission-critical distributed platforms
What the job involves
- The Messaging, Streaming and Caching team is a full-service Distributed Systems Engineering team
- We architect and provide async messaging, streaming, and NoSQL platforms and solutions that power the Workday products and SKUs ranging from core HCM, Fins, Integrations, and AI/ML
- We develop client libraries and SDK’s that make it easy for teams to build Workday products
- We develop automation to deploy and run hundreds of clusters, and we also operate and tune our clusters as well
- As a team member you will play a key role in improving our services and encouraging their adoption within Workday's infrastructure both in our private cloud and public cloud
- As a member of this team you will design and build new capabilities from inception to deployment to exploit the full power of the core middleware infrastructure and services, and work hand in hand with our application and service teams!
- Design, build, and enhance critical distributed services, including Kafka, Redis, RabbitMQ etc
- Design, develop, build, deploy and maintain core distributed services using a combination of open source and proprietary stacks across diverse infrastructure environments (Kubernetes, OpenStack, Bare Metal, etc.)
- Design and develop core software modules for streaming, messaging and caching
- Construct observability modules, alerts and automation for Dashboard lifecycle management for the distributed services
- Build, deploy and operate infrastructure components in production environments
- Champion all aspects of streaming, messaging and caching with a focus on resiliency and operational excellence
- Evaluate and implement new open-source and cloud-native tools and technologies as needed
- Participate in the on-call rotation to support the distributed systems platforms
- Manage and optimize Workday distributed services in AWS, GCP & Private cloud environments
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 & 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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 113 more jobs at Workday