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 Lakehouse (SaaS) on multiple hyperscalers.
• You will work in an innovation driven, collaborative environment to understand requirements, architect, design and implement functionalities / features.
• Use continuous integration tools like Jenkins and Artifactory to build automation pipeline to deploy different service workloads for Lakehouse.
• 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 Lakehouse environments.

• 3+ Years of strong development experience in cloud technologies.
• Working knowledge on Virtualization, containerization technologies, containers orchestration software (Kubernetes and OpenShift) and cloud platforms
• Working knowledge on Kubernetes clusters administration
• Working experience on cloud services (Amazon Web Services, IBM Cloud, Microsoft Azure, Google Cloud Platform)
• Working knowledge on Development and operation of fully managed SaaS services
• Working knowledge on Cloud SaaS security
• Languages: GO, Python, Ruby
• CI/CD Tools: Jenkins, Artifactory
• Working knowledge on RDBMS, data warehouse, data lakes
• Source Control Tools: Git, GitHub
• Excellent verbal and written communication skills with the ability to present complex technical information.
• Self-starter, organized, willing to learn and solve things on your own.
• Growth-mindset: Willingness to learn new technologies and processes.

• Familiarity with Hive metastore and open data formats (Iceberg, Delta Lake, Hudi)
• Open-source data engines: Presto, Spark
• Data governance management
• Open-source software development