Senior Cloud Engineer, Workday

€86.4-129.6k

SQL

AWS

Docker

Kubernetes

GCP

Python

Elasticsearch

Bash

Linux

Postgres

Terraform

Kibana

Splunk

Jenkins

Puppet

Chef

Windows

Logstash

RDS

Oracle

Git

Golang

Senior and Expert level

Dublin

More information about location

Enterprise AI platform for managing HR, finance & IT

Be an early applicant

Enterprise AI platform for managing HR, finance & IT

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Be an early applicant

€86.4-129.6k

SQL

AWS

Docker

Kubernetes

GCP

Python

Elasticsearch

Bash

Linux

Postgres

Terraform

Kibana

Splunk

Jenkins

Puppet

Chef

Windows

Logstash

RDS

Oracle

Git

Golang

Senior and Expert level

Dublin

More information about location

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

Workday’s Adaptive Planning Cloud SRE team is looking for a Senior Cloud Engineer with 5 or more years experience in public cloud (AWS)
Are you a hardworking, creative and driven team member who can support us in our mission to gracefully support our Cloud infrastructure and Automation? If yes, we would love to hear from you!
If you like trying new techniques and approaches to sophisticated problems, love to learn new technologies, are a natural collaborator and a phenomenal teammate who brings out the best in everyone around you, then give us a shout!
At least 7 Years DevOps, Systems/Infrastructure, or related Operations and SRE experience
4+ years of experience working directly with AWS Infrastructure services; AWS Certification preferred; solid understanding of AWS services and security required
4+ Years Experience with at least one programming language like: Go, Python, Bash etc
Authoring configuration management scripts and deployment tools: Jenkins, Puppet, Chef or equivalent
Splunk, Nagios, Elasticsearch, Kibana, CloudWatch and Logstash and ways to scale these systems
4+ years of experience in the following:
Cloud databases like AWS oracle/PostgreSQL RDS or Aurora PostgreSQL or GCP Cloud SQL are helpful
Orchestration tools like Kubernetes and working knowledge of containerization (Docker)
Source control management such as Git, GitHub
Knowledge of web servers and Cloud load balancers such as Apache HTTP Server, Nginx, HA-Proxy, AWS ELB/NLB
Effective communication of complex technical concepts
Bachelor’s in computer science or equivalent

What the job involves

In this role you will take an active role in designing and building the infrastructure, tools, and services delivering Workday Adaptive Planning next generation cloud platform
You will be challenged with everything from infrastructure tooling, automation, build and deployment pipelines, monitoring and logging architecture, containerization and more!. You must be responsive, flexible and able to succeed within an open collaborative peer environment
Support Workday Adaptive Planning Cloud infrastructure, working with technologies like Docker, Kubernetes, AWS, Chef and Terraform
Participate in infrastructure automation using Terraform, Chef, Jenkins and Golang
Participate in planning and implementing complicated technical projects that interact with a wide variety of teams within the company
Build and respond to production monitors: triage, fix and resolution, perform root cause analysis
Good experience at problem solving and complexity analysis on the large distributed systems and maintaining operational runbooks
Support the deployment of cloud solution software during and off regular office hours
Support for both Linux and Windows systems (majority Linux)
Participate in on-call monitoring response

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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