Cloud Platform Engineer – Spark, GCP & Kubernetes

PTR Global; Charlotte (NC); On-site; USD 75,768 - 82,656; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K contributions

Job summary

A leading provider of IT solutions is seeking a Software Engineer 4 to support the Model Risk Management platform. This role involves deploying and maintaining OpenShift clusters, designing large-scale data processing workflows, and building services to support platform users. Applicants should have extensive experience with Apache Spark, Kubernetes, and cloud services such as GCP. Competitive compensation ranges from $55 to $60 per hour, based on experience and location.

Qualifications

• 3+ years of experience with Apache Spark.
• 2+ years in Django development.
• 1+ year creating/maintaining conda environments.
• 2+ years with OpenShift/Kubernetes.
• Experience working with GCP or another major cloud provider.

Responsibilities

• Deploy and maintain OpenShift clusters for Spark workloads.
• Support platform capabilities for statistical model execution.
• Design data processing workflows using Apache Spark.
• Build Python/Django services for platform users.
• Monitor Spark jobs and ensure cluster health.

Skills

Apache Spark

Django

OpenShift

Kubernetes

Python

Docker

Education

Bachelor’s degree in computer science, Engineering, or related field

Tools

GitHub Actions

Prometheus

Grafana

Job description

A leading provider of IT solutions is seeking a Software Engineer 4 to support the Model Risk Management platform. This role involves deploying and maintaining OpenShift clusters, designing large-scale data processing workflows, and building services to support platform users. Applicants should have extensive experience with Apache Spark, Kubernetes, and cloud services such as GCP. Competitive compensation ranges from $55 to $60 per hour, based on experience and location.