AddressIntroduction
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
As a DevOps Engineer in the Data and Analytics organization, you bring technical expertise and a
passion for successfully adopting DevOps tools and practices in a Hybrid Cloud environment. 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 of this role, but are not limited to:
- Serving as a technical team member in the development team, customer engagements, and
- contributing your knowledge and expertise towards the project's success.
- Implementing containerized workflows using technologies such as Kubenetes, Docker,
- Ansible, Helm, Jenkins, Travis CI , and other open-source solutions.
- Diagnosing environmental issues and introduce/implement technologies to solve them.
- Staying up-to-date on the latest container platform releases and containerization techniques.
- Provision and maintenance of DevOps Infra
Required Technical and Professional Expertise
- 15 + years' experience in IT with 3 + years of exp in Devops
- Experience in Deploy, automate and maintenance of applications in cloud native
- environment like IBM Cloud/Google Cloud Platform/AWS
- Good in building CI/CD pipelines and build automation using Maven/Gradle
- Knowledgeable in applying security practices/techniques in containerization solutions
- Experienced with Openshift, Kubenetes, Github, Jenkins, Ansible, Helm Charts, Python,
- Shell scripts, Travis CI
- Experience with distributed application concepts and DevOps tools
- Excellent writing and communication skills
- Demonstrable troubleshooting and debugging ability
- General knowledge of web services, HTTP and RESTful services
Preferred Technical and Professional Expertise
- Agile Application Development & Scrum methodologies
- Familiarity with LogDNA/Sysdig/Prometheus for cluster analysis in a Kubernetes
- environment"
- Working knowledge of Ansible based install/deployment automation.
- Experience with Public Cloud Services (AWS, Azure, IBM Cloud)
