Senior Software Engineer (Python - Databricks)

Experience: 7 Yrs +

Qualifications:- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

The Position

We're looking for a
Senior Software Engineer and SE ll
to join our Data Platform team and help scale the infrastructure behind data ecosystem.

How you will make an impact

You'll join a remote-first data platform team working on the
*AI-first*
infrastructure-as-code, enablement tooling, and platform administration that ensure teams across the company can use our Databricks platform effectively. Instead of building product pipelines, you'll contribute to the platform layer that everyone else builds upon, helping keep it reliable, secure, and easy to use. You'll also help maintain existing MLOps tooling and legacy ETL infrastructure. If you like working at the overlap of cloud infrastructure and data platforms, and you want your work to support clean energy, this is a great fit.

Roles & Responsibilities:-





● Build and maintain multi-cloud Databricks infrastructure using Terraform and Databricks functionality across mostly AWS, and GCP.

● Contribute to Unity Catalog administration including general best practices, metastores, workspaces, catalog, schema infrastructure and Databricks Asset Bundles.

● Help build deployment accelerators, templates, and self-service tooling so other teams can onboard and ship on their own on Databricks platform.

● Act as a platform engineer, building self-service tools and 'golden paths' for other teams, and actively contribute to community enablement through documentation, training, and cross-team knowledge sharing.

Required Skills:

Cloud & Infrastructure:

● 5 to 8 years of software engineering experience, ideally in infrastructure or data platform roles.

● Proficiency in Python/PySpark and robust knowledge of SQL.

● Experience with Terraform or similar Infrastructure-as-Code (IaC) tools.

● Strong knowledge of at least one cloud platform (GCP/AWS

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