Senior Cloud Engineer – AWS, Kubernetes & Automation

Workday, Inc.; Dublin; Hybrid; EUR 86,000 - 130,000; Full time

Job summary

Workday, Inc. is seeking a Senior Cloud Engineer to help design and build the next generation cloud platform for Workday Adaptive Planning.

You will contribute to infrastructure tooling, automation, build and deployment pipelines, monitoring, logging architecture, and containerization in a collaborative team. You will work across Linux and Windows environments, participate in on-call responses, and support deployments during and outside regular hours.

Qualifications

• 5 to 7 years DevOps, Systems/Infrastructure, or related Operations and SRE experience.
• 3+ years of experience working directly with AWS Infrastructure services; AWS Certification preferred; solid understanding of AWS services and security required.
• 3+ 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.

Responsibilities

• Support Workday Adaptive Planning Cloud infrastructure, working with 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.

Skills

DevOps experience

AWS expertise

Go/Python

On-call support

Education

Bachelor’s in CS or equivalent

Tools

Terraform

Jenkins

Docker

Kubernetes

Chef

Job description

Workday, Inc. is seeking a Senior Cloud Engineer to help design and build the next generation cloud platform for Workday Adaptive Planning.

You will contribute to infrastructure tooling, automation, build and deployment pipelines, monitoring, logging architecture, and containerization in a collaborative team. You will work across Linux and Windows environments, participate in on-call responses, and support deployments during and outside regular hours.