Cloud Architect

Introduction
Software Developers at IBM are the backbone of our strategic initiatives to design code test and provide industry-leading solutions that make the world run today – planes and trains take off on time bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client software development is critical to the success of IBM and our clients worldwide. At IBM you will use the latest software development tools techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role and Responsibilities

• Work in an Agile collaborative environment to build deploy configure and maintain Lakehouse (SaaS) on multiple hyperscale’s.
• 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.
• You will mentor team members.

Required Technical and Professional Expertise

• 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

Preferred Technical and Professional Expertise

• 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