Google Cloud Platform (GCP) Python Developer

About the job Google Cloud Platform (GCP) Python Developer Experience level: MidSenior Experience required: 10+ years Job function: Information Technology Industry: Information Technology & Services Employment type: Contract Visa sponsorship: No Education: Bachelor's degree required About the Role Our client is seeking a highly skilled Google Cloud Platform (GCP) Python Developer to design, build, and optimize backend services and event-driven data pipelines. This role is ideal for someone with strong Python expertise and deep hands‑on experience across GCP services, distributed systems, and modern event‑driven architectures. You will be responsible for developing backend components, integrating cloud-native services, orchestrating asynchronous systems, and ensuring robust schema management across multiple data workflows. Responsibilities Design and develop backend services and applications using Python and GCP SDKs . Build and maintain event‑driven architectures using Pub/Sub, Dataflow, Cloud Functions, and Cloud Run. Implement asynchronous communication and distributed system patterns, ensuring effective event choreography without central orchestrators. Develop RPC‑style APIs and backend communication frameworks within GCP environments. Design, define, and evolve Avro schemas for event serialization and validation. Integrate and optimize cloud‑native workflows for scalability, performance, and reliability. Collaborate with cross‑functional teams to ensure smooth deployment and operational support. Write clean, maintainable, testable code with strong documentation. Must-Have Skills 10+ years of hands‑on Python development experience. Strong expertise with GCP services , specifically: Pub/Sub Dataflow Cloud Functions Deep understanding of event‑driven architecture , including choreography patterns, asynchronous messaging, and distributed systems. Experience with serialization formats , especially Avro for schema definition and evolution. Familiarity with RPC‑style APIs and backend service communication patterns. Strong problem‑solving skills in cloud‑native environments. Good‑to‑Have Skills Experience with other serialization formats: Protobuf, JSON, etc. Background in building pipelines or data transformations using GCP Data Engineering tools. Experience deploying services in highly scalable, production‑grade cloud environments. Knowledge of CI/CD, monitoring, and infrastructure best practices on GCP. Ideal Candidate The ideal candidate is a strong backend engineer with a passion for scalable distributed systems, event‑driven architectures, and high‑performance cloud services. They can independently take ownership of cloud pipeline workflows, write production‑grade Python code, and collaborate effectively in a cloud‑native engineering environment. #J-18808-Ljbffr