Senior Software Engineer - Python (FastAPI | Azure | Data Platforms)
Design high-performance backend services using FastAPI for data processing pipelines
Design and develop high-performance backend services using FastAPI, Pydantic, and SQLAlchemy for the DIAL team. Build and maintain API-driven data processing and orchestration frameworks that power data preprocessing, observability, and data product pipelines. Integrate with Azure services such as ADLS, ADF, and Databricks to ensure reliable, observable, and production-grade data systems.
Why This Role?
Opportunity to grow into Principal Engineer or Vice President of Software with dedication and hard work
Key Responsibilities
- 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
Requirements
- Experience designing and developing backend services with FastAPI
- Proficiency in Python, including asyncio for asynchronous processing
- Experience with Azure data services such as ADLS, ADF, and Databricks
- Knowledge of Pydantic and SQLAlchemy for data modeling and persistence
- Experience writing unit and integration tests with Pytest
- Familiarity with CI/CD pipelines and containerized deployments
Required Skills
Keywords
View Original Description from The Muse
Original description from The Muse
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role We are looking for a Senior Software Engineer to join the DIAL (Data Integration & Analytics Layer) team, responsible for building scalable, high-performance enterprise applications that power data preprocessing, observability, and data product pipelines. The role involves designing and developing API-driven platforms using FastAPI, integrating with Azure data services, and contributing to reliable, observable, and production-grade data systems. Key Responsibilities 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 Your Future at Kyndryl The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President of Software. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry. Who You Are You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others. Required Technical and Professional Experience Core Engineering • Strong experience in Python backend development • Hands-on experience with: FastAPI, Pydantic, SQLAlchemy • Good understanding of REST API design and microservices architecture Cloud & Data Platforms • Experience working with Microsoft Azure • 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 Technical and Professional Experience • 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
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