build scalable, high-performance backend solutions that power modern data-driven platforms in a cloud-first environment
design and develop robust backend services
play a key role in shaping API-driven data processing and orchestration frameworks
leverage asynchronous Python (asyncio) to deliver efficient, scalable solutions
seamlessly integrate with Azure data services such as ADLS, ADF, and Databricks
maintain high code quality through comprehensive testing with Pytest
contribute to continuous improvement through code reviews and performance optimization
deliver end-to-end solutions that drive real business value
contribute to CI/CD pipelines and modern, containerized deployments

Strong experience in Python backend development
Hands-on experience with FastAPI, Pydantic and SQLAlchemy
Good understanding of REST API design and microservices architecture
Experience working with Microsoft Azure
Familiarity with ADLS (Azure Data Lake Storage) and Azure Data Factory / Databricks (preferred)
Working knowledge of Python Asyncio
Understanding of high-throughput and low-latency system design
Practical experience with Pytest
Experience in unit, integration, and API testing
Experience with containerization (Docker / Kubernetes)
Familiarity with CI/CD practices
Experience with performance testing and tuning (nice to have)
Knowledge of Terraform / Infrastructure as Code (IaC) (nice to have)
Exposure to observability frameworks (OpenTelemetry, logging, tracing) (nice to have)
Experience in data engineering or data platform ecosystems (nice to have)

flexible, supportive environment
well-being prioritized
Be Well programs designed to support financial, mental, physical, and social health
impactful work that powers systems
access to cutting-edge learning opportunities

Senior Software Engineer

Key skills