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Workday
Workday

A new day for the enterprise.

Cloud Engineer

职能基础设施
级别中级
地点Ireland, Dublin
方式现场办公
类型全职
发布1周前
立即申请

Your work days are brighter here.

We’re 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, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll 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. We’re 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 you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll 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, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Workday’s Planning Cloud Engineering team is looking for a Cloud Engineer with experience in public cloud (primarily AWS). In this role you will play an active part 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, all within an open, collaborative peer environment!

About the Role

Some of the day to day responsibilities you can expect to have include:

  • Support Workday Planning Cloud infrastructure, working with technologies like Docker, Kubernetes, AWS, Chef and Terraform

  • Participate in infrastructure automation leveraging Terraform, Chef, Jenkins and Golang

  • Build automated solutions to reduce manual intervention in day to day tasks

  • Participate in Planning and executing complicated technical projects that interact with a wide variety of teams within the company

  • Build and respond to production monitors: triage, troubleshoot and resolution, Perform Root cause analysis

  • Support the deployment of cloud solution software during and off regular office hours

  • Support for Linux systems

  • Participate in on-call monitoring response

About You

Are you a hardworking, creative and driven team member who can support us in our mission to gracefully support our Multi-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!

Basic Qualifications :

  • 3+ years' DevOps, Systems/Infrastructure, or related Operations and SRE experience

  • 2+ years of experience working directly with AWS Infrastructure services; understanding of AWS services and security required

  • 2+ years' experience with at least one programming language like: Go, Python, Bash, Perl

  • Authoring configuration management scripts and deployment tools: Jenkins, Puppet, Chef or equivalent

Other Qualifications:

2+ years of experience in the following:

  • Cloud databases like AWS oracle/PostgreSQL RDS or Aurora PostgreSQL or GCP Cloud SQL are helpful

  • Working knowledge of containerization (Docker) and container orchestration tools (Kubernetes, EKS)

  • Experience with Linux and / or Unix

  • Splunk, Nagios, Elasticsearch, Kibana, CloudWatch or Logstash and ways to scale these systems

  • 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

  • AWS Certification preferred

  • Bachelor’s in computer science or equivalent experience

Our Approach to Flexible Work

With Flex Work, we’re 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 you'll 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.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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关于Workday

Workday

Workday

Public

Workday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor.

10,001+

员工数

Pleasanton

总部位置

$45B

企业估值

评价

10条评价

3.9

10条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

4.1

职业发展

3.2

管理层

2.8

75%

推荐率

优点

Good pay and compensation

Excellent health benefits and insurance

Supportive team and inclusive culture

缺点

Management transparency and responsiveness issues

Overwhelming workload and high expectations

Limited career growth opportunities

薪资范围

18个数据点

Mid/L4

Mid/L4 · Analytics Data Specialist

1份报告

$182,132

年薪总额

基本工资

$140,109

股票

-

奖金

-

$182,132

$182,132

面试评价

9条评价

难度

3.9

/ 5

时长

14-28周

体验

正面 11%

中性 11%

负面 78%

面试流程

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Director Interview

5

Team Interviews

6

Offer Decision

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge

Management/Leadership