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

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 :

- 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

Required Skills & 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 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 Who You Are**

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 :

- 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

Required Skills & Experience : Core Engineering :

- Strong experience in Python backend development :

- Hands-on experience with:

- FastAPI :

- Pydantic :

- SQLAlchemy

- Positive 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 Skills (Nice to Have) :

- Experience with **performance testing and tu

📌 Senior Software Engineer (Hyderabad)
🏢 Kyndryl
📍 Hyderabad