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

• Work in an Agile, collaborative environment to build, deploy, configure, and maintain IBM Data and AI data management SaaS products on multiple hyperscalers.
• Use continuous integration tools like Jenkins and Artifactory to build automation pipeline to deploy different service workloads for open data management SaaS environments.
• Collaborate multiple development teams to enable a continuous integration environment that sustains high productivity levels and emphasizes defect prevention techniques.
• Design and implement automation for deployment, monitoring, logging, alerting of large-scale open data management SaaS environments.

• Overall 9+ years of IT Industry experience
• At least 3 years of experience with:
• Virtualization, containerization technologies, containers orchestration software and cloud platforms
• Kubernetes clusters administration
• Usage of cloud services (Amazon Web Services, IBM Cloud, Microsoft Azure, Google Cloud Platform)
• Languages: GO, Python, Ruby
• CI/CD Tools: Jenkins, Artifactory
• Development and operation of fully managed SaaS services
• Source Control Tools: Git, GitHub

• Experience with cloud SaaS security
• Familiarity of RDBMS, data warehouse, data lakes, data lake house
• Familiarity with Hive meta store and open data formats (Iceberg, Delta Lake, Hudi)
• Open-source data engines: Presto, Spark
• Data governance management
• Open-source software development