- Employment mode : Contract-to-Hire

- Work model : Hybrid (3 days work from Office)

- Experience : - 7+ years of hands-on experience in python backend engineer with GCP.

Key Responsibilities :

- Design, build, and maintain scalable backend systems and APIs using Python.

- Develop microservices-based architectures and integrate with cloud-native components.

- Implement and maintain backend data workflows and processing pipelines.

- Optimize performance, reliability, and security of backend services.

- Collaborate with DevOps, Data Engineering, and Product teams for feature delivery.

- Contribute to code reviews, architectural discussions, and technical decision-making.

- Implement best practices for CI/CD, monitoring, and automation on GCP.

Technical Skills & Experience :

Core Requirements :

- Strong proficiency in Python (Flask, FastAPI, Django, or similar frameworks).

- Hands-on experience with GCP services (Compute Engine, Cloud Functions, Pub/Sub, BigQuery, Cloud Storage, etc.

- Exposure to AWS as a secondary cloud platform.

- Experience working with RESTful APIs and microservices architecture.

- Strong understanding of Docker, Kubernetes, and containerized deployments.

- Experience with SQL and NoSQL databases (e.g., PostgreSQL, Bigtable, Firestore, Redis).

Nice to Have :

- Experience with data orchestration tools such as Apache Airflow or Netflix Conductor.

- Knowledge of streaming and batch data processing frameworks like Apache Spark or Apache Beam.

- Familiarity with Kafka or other messaging/streaming platforms.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- Prior experience in data-intensive or cloud-native application development is a plus