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Google Cloud Engineer; GCP w2
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-02-09
Listing for:
Innoventrics
Full Time
position Listed on 2026-02-09
Job specializations:
-
Software Development
Data Engineer
Job Description & How to Apply Below
Responsibilities
- Design, develop, and maintain cloud-native backend applications using Python and Django on GCP
- Build and optimize Apache Spark / PySpark pipelines for large-scale batch and streaming data processing
- Architect end-to-end solutions leveraging GCP services such as Compute Engine, GKE, Cloud Run, Big Query, Dataproc, Dataflow, Cloud Storage, and Pub/Sub
- Develop secure, scalable RESTful APIs and microservices using Django and Django REST Framework
- Ensure high availability, performance, and scalability of applications and data pipelines
- Implement CI/CD pipelines and Infrastructure as Code (Terraform, Cloud Build, Git Hub/Git Lab)
- Apply best practices for security, authentication, authorization, and data protection
- Monitor, troubleshoot, and optimize production workloads using Cloud Monitoring and Logging
- Collaborate with product managers, data engineers, and platform teams to deliver business-critical solutions
Note: Only w2 candidates are eligible for Green Card sponsorship and US Citizenship is required.
Key Responsibilities- Design, develop, and maintain cloud-native backend applications using Python and Django on GCP
- Build and optimize Apache Spark / PySpark pipelines for large-scale batch and streaming data processing
- Architect end-to-end solutions leveraging GCP services such as Compute Engine, GKE, Cloud Run, Big Query, Dataproc, Dataflow, Cloud Storage, and Pub/Sub
- Develop secure, scalable RESTful APIs and microservices using Django and Django REST Framework
- Ensure high availability, performance, and scalability of applications and data pipelines
- Implement CI/CD pipelines and Infrastructure as Code (Terraform, Cloud Build, Git Hub/Git Lab)
- Apply best practices for security, authentication, authorization, and data protection
- Monitor, troubleshoot, and optimize production workloads using Cloud Monitoring and Logging
- Collaborate with product managers, data engineers, and platform teams to deliver business-critical solutions
Skills & Qualifications
- 10+ years of professional experience in software or cloud engineering
- Strong hands-on experience with Google Cloud Platform (GCP)
- Advanced proficiency in Python and backend development
- Extensive experience with Django and Django REST Framework
- Strong hands-on experience with Apache Spark / Py Spark
- Solid understanding of distributed systems, microservices architecture, and REST APIs
- Experience with Big Query, SQL optimization, and data modeling
- Experience with Dataproc, Dataflow, or managed Spark environments
- Proficiency with Docker, Kubernetes (GKE), and Linux
- Experience with CI/CD, version control, and automated testing
- Excellent problem-solving and communication skills
Skills:
django, spark, data, rest, pipelines, ci, gcp, apache, apache spark, cloud
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