Data Engineering Specialist
hace 1 día
**Overview of IBM's Mission**
We're a company that strives to build, design, code, consult and collaborate with clients to make markets and invent. Our mission is to lead in this new era of technology and solve some of the world's most challenging problems.
**Your Role in Our Team**
The Strategic Partnerships development team on Cloud Pak for Data integrates various database products onto IBM's Cloud Pak platform. We work with strategic technologies such as Red Hat OpenShift, Operators with the Operator Lifecycle Manager (OLM), as well as common open-source databases like MongoDB, PostgreSQL, and Cassandra.
We operate in a continuous-delivery, forward-moving model of development, where concepts like CICD and automated & integrated testing are fundamental. In this role, you will have the opportunity to continually grow your skills in key technologies such as Kubernetes, Ansible, Golang and Jenkins, while working in a supportive, collaborative and fun environment.
**Key Responsibilities**
- Create test plans and execute manual and automated tests against various partner products including databases and data analysis software.
- Write pipelines to build, package, deploy, and test Kubernetes operators using Jenkins and scripting languages like Bash and Python.
- Plan and maintain deployments of containerized software running on Kubernetes, incorporating security, network, and data encryption requirements and policies.
**Required Skills and Expertise**
- 2-3 years of software testing experience.
- Experience with software container technology - Kubernetes, Docker.
- Experience with Dev Ops tools such as Ansible and Jenkins.
- Experience with relational and non-relational databases.
- Golang experience is a plus.
- Ability to communicate and collaborate effectively across squads in a fast-paced development environment.
**Benefits of Working at IBM**
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.
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