Kyndryl

SeniorSoftwareEngineerPython(FastAPI|Azure|DataPlatforms)

Hoofddorp, North Holland, Netherlands FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer – Python (FastAPI | Azure | Data Platforms) at Kyndryl. Skills: Python, FastAPI, Azure, Data Platforms. Design and develop high-performance backend services using FastAPI, Pydantic, and SQLAlchemy. Build and maintain API-driven data processing and orchestration frameworks within DIAL”

What You'll Achieve.

build scalable, high-performance enterprise applications; power data preprocessing, observability, and data product pipelines; contribute to reliable, observable, and production-grade data systems; ensure code quality and reliability; deliver end-to-end solutions; impact critical banking systems; contribute to observability, reliability, and next-gen data processing frameworks; build high-impact, production-grade systems

Industry & Context.

Problems you'll solve

problem-solving and analytical thinking

What They're Looking For.

Must Have

Python backend development, FastAPI, Pydantic, SQLAlchemy, REST API design, microservices architecture, Microsoft Azure, ADLS (Azure Data Lake Storage), Python Asyncio, Pytest, unit testing, integration testing, API testing, containerization (Docker / Kubernetes), CI/CD practices

Nice to Have

Azure Data Factory / Databricks, performance testing and tuning, Terraform / Infrastructure as Code (IaC), observability frameworks (OpenTelemetry, logging, tracing), data engineering, data platform ecosystems

What You'll Do.

Design and develop high-performance backend services using FastAPI

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

and related data platforms

Develop robust data models

and persistence mechanisms

and monitoring for enterprise-grade applications

Write unit and integration tests using Pytest to ensure code quality and reliability

How You'll Work.

Team & Collaboration

Collaborate with data engineers, architects, and product owners to deliver end-to-end solutions; Participate in code reviews, design discussions, and performance optimization initiatives; Ability to work in cross-functional teams (engineering, product, operations)

Communication Scope

Good communication skills for enterprise stakeholder interactions

Full Job Description

**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

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