Cloud Architect

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
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.
This opportunity is for a new Open Data Lakehouse product that IBM intends to bring to the market. We are looking for seasoned professionals who are passionate about data, familiar with data warehouse, data lake and data Lakehouse products in the market.

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