DevOps Developer

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
Who you are:

The Hybrid Data Management (HDM) Cloud team is looking for enthusiastic and talented software developers to join us. Our services include Db2 on Cloud Db2 Warehouse on Cloud Netezza on Cloud and upcoming Data Virtualization as a Service. Our services are tightly integrated with IBM Cloud Pak for Data where customers can access a suite of leading data and AI capabilities in a unified experience.

What you’ll do:

This role is within the DevOps team responsible for build and delivery of multiple IBM Automation software products. Responsibilities include developing and modernizing Continuous Integration and Continuous Delivery systems and processes to enable agile development and delivery of IBM software products leveraging containerization technologies such as Docker Kubernetes and Cloud infrastructure.

Responsibilities:

Automate and modernize software delivery processes including testing and deployment
Collaborate with development teams to eliminate manual effort reduce human error and improve efficiency

Required Technical and Professional Expertise

• 5+ Years of overall experience in software domain
• Experience with Docker and an understanding of containerized software fundamentals
• Experience in scripting automation languages like Python
• Linux command line and bash scripting experience
• Familiarity with DevOps and Agile principles and the ability to apply them
• Experience developing and maintaining CI/CD pipelines using Jenkins and Tekton
• Strong technical and problem-solving skills with an attention to detail
• Self-motivated with a sense of ownership and willingness to bring forward ideas

Preferred Technical and Professional Expertise

• Familiarity with Compute Storage and Networking components from IBM Cloud AWS Azure
• Familiarity with Red Hat OpenShift and Kubernetes
• Familiarity with LogDNA/Sysdig/Prometheus for cluster analysis in a Kubernetes environment