Senior Cloud Engineer – Apache Spark / GCP / Python / Microservices (S3)
M
Mindlance
📍 Charlotte, North Carolina, United States
Job Description
Overview
This role supports the Model Risk Management platform used to run statistical risk models and large-scale data workloads. The engineer will help maintain and enhance a cloud-native platform used by statisticians and data scientists working with millions of customer accounts. The platform runs on Google Cloud Platform and supports distributed data processing using Apache Spark.
Experience with large-scale datasets, GCP services, Spark, and containerized microservices is essential. Experience in financial services is preferred but not required.
Key Responsibilities
Platform Engineering
Deploy, configure, and maintain OpenShift clusters or GCP projects for Spark workloads
Support platform capabilities for statistical model execution
Distributed Data Processing
Design and implement large-scale data processing workflows using Apache Spark
Tune Spark jobs using Kubernetes orchestratio...
This role supports the Model Risk Management platform used to run statistical risk models and large-scale data workloads. The engineer will help maintain and enhance a cloud-native platform used by statisticians and data scientists working with millions of customer accounts. The platform runs on Google Cloud Platform and supports distributed data processing using Apache Spark.
Experience with large-scale datasets, GCP services, Spark, and containerized microservices is essential. Experience in financial services is preferred but not required.
Key Responsibilities
Platform Engineering
Deploy, configure, and maintain OpenShift clusters or GCP projects for Spark workloads
Support platform capabilities for statistical model execution
Distributed Data Processing
Design and implement large-scale data processing workflows using Apache Spark
Tune Spark jobs using Kubernetes orchestratio...