DevOps Engineer

Introduction
A career in IBM Software means you’ll be part of a team that transforms our customers challenges into solutions.

Seeking new possibilities and always staying curious we are a team dedicated to creating the world’s leading AI-powered cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers so the door is always open for those who want to grow their career.

Your Role and Responsibilities
As a DevOps Engineer in the Data and Analytics organization you bring passion for successfully adopting DevOps tools and practices in Public and Hybrid Cloud environments. You are a problem solver at heart with a passion and drive to innovate and disrupt the current status quo on how to accomplish a task resulting in automating and optimizing the DevOps workflow.

Key responsibilities:

• Serve as a technical team member in the development team customer engagements and contribute with your knowledge and expertise towards the project’s success
• Implement containerized workflows using technologies such as Kubenetes Docker Ansible Helm Jenkins Travis CI and other open-source solutions
• Diagnose environmental issues and introduce/implement technologies to solve them
• Stay up-to-date on the latest container platform releases and containerization techniques

What we offer:

• Working for a top 5 IT company according to Forbes 2022 best employers ranking
• International and prestigious projects
• Highly skilled teams of experts
• Wide range of IBM trainings and certificates
• Access to Udemy Harvard Business Review O’Reilly Interskill IBM AI Skills Academy

And what is more:

• Contract of employment
• Competitive compensation – salary range depending on your skills and experience
• Private medical care and life insurance
• Employee Assistance Program
• Sport charity & other networking groups
• Summer/winter camps for children
• Discounts with IBM employee badge
• Referral Bonus Program
• Home office option
• No dress code

Required Technical and Professional Expertise

• Experience in Development/Automation
• Experience working with developing and managing CI/CD pipelines with such technologies as Jenkins Travis Git
• Experience using & building containers and containerized applications using Docker Kubernetes Openshift
• Experience in one or more of the following: Python / Shell Scripting
• Experience working with infrastructure as code like Ansible; Linux administration skills preferably in Debian and RHEL
• Fluency in English – both verbal and written

Preferred Technical and Professional Expertise

• Experience with distributed application concepts and highly scalable platforms
• Experience with IaaS PaaS and cloud technologies
• Familiarity with Python package management systems like conda mamba is a plus
• Familiarity with methodologies for improving quality standards and automation