Senior Software Engineer
LEVY PROFESSIONALS
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tech stack
Data analysis
Azure
Software Quality
Code Review
Concurrent Computing
Continuous Integration
Information Engineering
Data Infrastructure
DevOps
Python
Performance Tuning
Azure
SQLAlchemy
Data Logging
Data Processing
Cloud Platform System
Performance Testing
Azure
Concurrency
Backend
FastAPI
Pytest
Containerization
Integration Tests
Kubernetes
Data Management
Api Design
Terraform
Api Management
Docker
Databricks
Microservices
Job description
- Design and develop high-performance backend services using FastAPI, Pydantic, and SQLAlchemy
- Build and maintain API-driven data processing and orchestration frameworks within DIAL
- Implement asynchronous and concurrent processing using Python (asyncio) for scalable workloads
- Integrate with Azure services such as ADLS, ADF, Databricks, and related data platforms
- Develop robust data models, validation layers, and persistence mechanisms
- Ensure observability, logging, and monitoring for enterprise-grade applications
- Write unit and integration tests using Pytest to ensure code quality and reliability
- Collaborate with data engineers, architects, and product owners to deliver end-to-end solutions
- Participate in code reviews, design discussions, and performance optimization initiatives
- Contribute to CI/CD pipelines and containerized deployments
Requirements
- Core Engineering
- Strong experience in Python backend development
- Good understanding of REST API design and microservices architecture
- Cloud & Data Platforms
- Experience working with Microsoft Azure
Hands-on experience with:
- FastAPI
- Pydantic
- SQLAlchemy
Familiarity with:
- ADLS (Azure Data Lake Storage)
- Azure Data Factory / Databricks (preferred)
- Concurrency & Performance
- Working knowledge of Python Asyncio
- Understanding of high-throughput and low-latency system design
- Testing
- Practical experience with Pytest
- Experience in unit, integration, and API testing
- DevOps & Deployment
- Experience with containerization (Docker / Kubernetes)
- Familiarity with CI/CD practices
Preferred Skills (Nice to Have)
- Experience with performance testing and tuning
- Knowledge of Terraform / Infrastructure as Code (IaC)
- Exposure to observability frameworks (OpenTelemetry, logging, tracing)
- Experience in data engineering or data platform ecosystems
Soft Skills
- Strong problem-solving and analytical thinking
- Ability to work in cross-functional teams (engineering, product, operations)
- Good communication skills for enterprise stakeholder interactions
- Ownership mindset with focus on delivery and reliability