Senior Infrastructure Engineer (Databricks) - QuantHealth

At least 6 years of experience in each of the following: DevOps, managing complex cloud platforms (Databricks, Snowflake, AWS, GCP, Azure, etc.), IaC tools (Databricks Asset Bundles, Terraform, Cloud Formation, etc.), Relational DB Management, multi-tenant and single-tenant deployment models At least 2 years of experience in each of the following: direct collaboration with Data Scientists or Machine Learning Engineers, IAM / RBAC , SRE and observability platforms (NewRelic, Data Dog, etc.), Python Excellent written and verbal communication skills Ability to work independently and as part of a team

Quant Health’s clinical trial simulations platform is composed of hundreds of Spark ETL jobs, several apps for use by internal domain experts, many streaming model inference endpoints and terabytes of patient, drug compound and clinical trial data. All of this is powered by Databricks and hosted across multiple environments in both multi-tenant and single-tenant deployment models. As Quant Health’s first infrastructure engineer focused on our internal machine learning platform, you’ll partner with Data Engineers and Data Scientists to manage our Databricks infrastructure with IaC , build robust CI/CD pipelines, define our Databricks IAM model and be the company’s foremost technical champion of Databricks best practices.

At least 6 years of experience in each of the following: DevOps, managing complex cloud platforms (Databricks, Snowflake, AWS, GCP, Azure, etc.), IaC tools (Databricks Asset Bundles, Terraform, Cloud Formation, etc.), Relational DB Management, multi-tenant and single-tenant deployment models At least 2 years of experience in each of the following: direct collaboration with Data Scientists or Machine Learning Engineers, IAM / RBAC , SRE and observability platforms (NewRelic, Data Dog, etc.), Python Excellent written and verbal communication skills Ability to work independently and as part of a team