Software Engineer, Cloud Engineer - Software, DevOps

Position: Software Engineer 4

Location: Charlotte, North Carolina

Duration: Contract

Job : 175445

• 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.

• Platform Engineering: Deploy, configure, and maintain Open Shift clusters or GCP projects for Spark workloads
• Platform Engineering: Support platform capabilities for statistical model execution
• Distributed Data Processing: Design and implement large scale data processing workflows using Apache Spark
• Distributed Data Processing: Tune Spark jobs using Kubernetes orchestration and autoscaling
• Application and Tooling: Build Python/Django services and microservices supporting platform users
• Application and Tooling: Configure tooling and internal applications for data processing and model execution
• Automation and CI/CD: Build and maintain CI/CD pipelines using Git Hub Actions, Sonar, Harness, Helm
• Monitoring and Troubleshooting: Monitor Spark jobs and cluster health using Prometheus, Grafana, and GCP tools
• Monitoring and Troubleshooting: Debug distributed systems and optimize resource utilization
• Security and Compliance: Implement RBAC and encryption for data in transit and at rest
• Collaboration: Work closely with cross functional teams to define requirements and support deployments

• Experience: 3 plus years with Apache Spark
• 2 plus years Django development
• 1 plus years creating/maintaining conda environments
• 2 plus years with Open Shift/Kubernetes
• Experience working with GCP or another major cloud provider

• Spark frameworks (PySpark, Scala, or Java)
• Open Shift/Kubernetes administration
• Docker container experience
• Python, Scala, or Java programming
• Experience with Git Hub Actions, Helm, Harness
• Knowledge of distributed systems and cloud storage (S3, GCS, HDFS)

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

PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit

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Pay Range: $55 - $60

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

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