Software Engineer 3

Position: Software Engineer 4 Location: Charlotte, North Carolina Duration: Contract Job ID: 175445 Overview This role supports the Model Risk Management platform used to run statistical risk models and largescale data workloads. The engineer will help maintain and enhance a cloudnative 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 largescale 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 Platform Engineering: Support platform capabilities for statistical model execution Distributed Data Processing: Design and implement largescale 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 GitHub 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 crossfunctional teams to define requirements and support deployments Qualifications Experience: 3 plus years with Apache Spark 2 plus years Django development 1 plus years creating/maintaining conda environments 2 plus years with OpenShift/Kubernetes Experience working with GCP or another major cloud provider Technical Skills Spark frameworks (PySpark, Scala, or Java) OpenShift/Kubernetes administration Docker container experience Python, Scala, or Java programming Experience with GitHub Actions, Helm, Harness Knowledge of distributed systems and cloud storage (S3, GCS, HDFS) Education Bachelor’s degree in computer science, Engineering, or related field About PTR Global 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 At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. 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. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at View phone number on click.appcast.io. To report any concerns, please email us at View email address on click.appcast.io #J-18808-Ljbffr