Responsibilities include,

• Help build the CDE Data Service for CDP Private Cloud environments . CDE is the next-generation cloud-native platform to run large-scale data engineering workflows via Apache Spark, Apache Airflow with just a few clicks.

• Help to lead a team of strong engineers to design, code, and implement elegant, scalable, enterprise-quality application services.

• Build strong relationships and collaborate with platform and UI engineers, quality engineers, UX designers, as well as, Product Management, Field Engineering, and other external partners.

• Work closely with Product Managers to define the capabilities that should be built into the product based on customer use cases.

• As a leader, you should be able to fill in, to address gaps in process/practices followed by the team/organisation.

• Help to define the career growth of your reportees by working with them and being responsible for their growth.

Requirements:

• BE, MS or Ph.D. in Computer Science

• 10+ years of experience with > 2+ years of management experience.

• Strong oral and written communication skills

• Good understanding of engineering best practices.

• Experience with containerization frameworks like Kubernetes, Docker

• Experience with Public cloud – AWS, Azure, or GCP

• Strong Understanding of Distributed Systems and building systems at scale.

• Should be able to drive the architecture/design and provide technical direction to the team

Big Plus:

• Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, Mlflow, JupyterLab, PyCharm, etc.)

• Worked with Big data technologies.

• Have experience working in a distributed environment