Job highlights

- FastAPI . Pydantic . SQLAlchemy . Good understanding of REST API design and microservices architecture .
- 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 .

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

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

- Solid 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Software Engineer (Bengaluru)
🏢 Kyndryl
📍 Bengaluru