What are the responsibilities and job description for the Senior Cloud Engineer (Google Cloud Platform) position at Strategic Staffing Solutions?
Strategic Staffing Solutions is currently looking for a Senior Cloud Engineer for a W2 contract opportunity with one of our largest clients!
This is a W2 contract opportunity, and the candidates should be willing to work on our W2 ONLY, NO C2C.
Senior Cloud Engineer
Senior Engineer (S3): strong independent contributor with deep Spark/Google Cloud Platform experience
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, Google Cloud Platform 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 Google Cloud Platform 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 orchestration and auto-scaling
Application & Tooling
- Build Python/Django services and microservices supporting platform users
- Configure tooling and internal applications for data processing and model execution
Automation & CI/CD
- Build and maintain CI/CD pipelines using GitHub Actions, Sonar, Harness, Helm
- Monitoring & Troubleshooting
- Monitor Spark jobs and cluster health using Prometheus, Grafana, and Google Cloud Platform tools
- Debug distributed systems and optimize resource utilization
Security & 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
Qualifications
- 3 years with Apache Spark
- 2 years Django development
- 1 years creating/maintaining conda environments
- 2 years with OpenShift/Kubernetes
- Experience working with Google Cloud Platform 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
Beware of scams. S3 never asks for money during its onboarding process.