
Expert Backend Engineer for High-Load Systems
1 day ago
This is an opportunity to work on a large-scale project that focuses on building and maintaining high-performance data-driven platforms.
Key Responsibilities:- Design and implement scalable backend services using Python 3.x
- Develop secure REST APIs with FastAPI and Pydantic
- Optimize SQL queries and design efficient data models in BigQuery
- Build and maintain ETL pipelines with Airflow
- Integrate and manage solutions within GCP services like Pub/Sub, Cloud Functions, and Cloud Storage
- Ensure cost-effective cloud resource usage through monitoring and tuning
- Collaborate with teams to define technical designs, runbooks, and RFCs
- Implement robust authentication, authorization, and security practices
- Handle system design challenges such as throughput and backpressure
- Support CI/CD pipelines and automation with Cloud Build or equivalent tools
- 7+ years of professional software engineering experience
- 4+ years of production experience with Python 3.x
- Strong knowledge of FastAPI, Pydantic, asynchronous programming, SQL, data modeling, and BigQuery optimization
- Proven expertise in GCP services (Pub/Sub, Cloud Functions, Cloud Storage, IAM)
- Track record designing and operating high-load distributed systems
- Experience with ETL processes and orchestration tools like Airflow
- Familiarity with CI/CD pipelines and automation practices
- Excellent communication and ownership skills in cross-functional environments
- Strong focus on security best practices and data protection
- File parsing at scale (CSV/Excel/XML), schema evolution/versioning
- Data quality frameworks (assertions, expectations), dbt/Dataform familiarity
- Event-driven or streaming backgrounds; Beam/Dataflow experience
- Concurrency/performance profiling in Python (asyncio, multiprocessing)
- IaC (Terraform), SRE practices
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