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:
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Support Workday Planning Cloud infrastructure, working with technologies like Docker, Kubernetes, AWS, Chef and Terraform
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Participate in infrastructure automation leveraging Terraform, Chef, Jenkins and Golang
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Build automated solutions to reduce manual intervention in day to day tasks
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Participate in Planning and executing complicated technical projects that interact with a wide variety of teams within the company
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Build and respond to production monitors: triage, troubleshoot and resolution, Perform Root cause analysis
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Support the deployment of cloud solution software during and off regular office hours
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Support for Linux systems
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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 :
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3+ years' DevOps, Systems/Infrastructure, or related Operations and SRE experience
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2+ years of experience working directly with AWS Infrastructure services; understanding of AWS services and security required
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2+ years' experience with at least one programming language like: Go, Python, Bash, Perl
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Authoring configuration management scripts and deployment tools: Jenkins, Puppet, Chef or equivalent
Other Qualifications:
2+ years of experience in the following:
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Cloud databases like AWS oracle/PostgreSQL RDS or Aurora PostgreSQL or GCP Cloud SQL are helpful
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Working knowledge of containerization (Docker) and container orchestration tools (Kubernetes, EKS)
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Experience with Linux and / or Unix
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Splunk, Nagios, Elasticsearch, Kibana, CloudWatch or Logstash and ways to scale these systems
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Source control management such as Git, GitHub
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Knowledge of web servers and Cloud load balancers such as Apache HTTP Server, Nginx, HA-Proxy, AWS ELB/NLB.
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Effective communication of complex technical concepts
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AWS Certification preferred
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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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Workday 소개

Workday
PublicWorkday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor.
10,001+
직원 수
Pleasanton
본사 위치
$45B
기업 가치
리뷰
10개 리뷰
3.9
10개 리뷰
워라밸
3.8
보상
4.2
문화
4.1
커리어
3.2
경영진
2.8
75%
지인 추천률
장점
Good pay and compensation
Excellent health benefits and insurance
Supportive team and inclusive culture
단점
Management transparency and responsiveness issues
Overwhelming workload and high expectations
Limited career growth opportunities
연봉 정보
18개 데이터
Mid/L4
Mid/L4 · Analytics Data Specialist
1개 리포트
$182,132
총 연봉
기본급
$140,109
주식
-
보너스
-
$182,132
$182,132
면접 후기
후기 9개
난이도
3.9
/ 5
소요 기간
14-28주
경험
긍정 11%
보통 11%
부정 78%
면접 과정
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Director Interview
5
Team Interviews
6
Offer Decision
자주 나오는 질문
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Management/Leadership
최근 소식
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