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Lingaro is seeking a senior Python backend engineer to design, develop, and maintain scalable services on Microsoft Azure. You will build RESTful APIs, microservices, and cloud solutions using Azure Databricks with Unity Catalog, serverless features, and robust CI/CD pipelines.
In this role, you will work in an Agile/Scrum team, collaborating on architecture discussions and code reviews. Production Docker workloads, SQLAlchemy data modeling, and English communication are essential.
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Design, develop, and maintain backend services using Python.
Build and optimize RESTful APIs and microservices.
Develop software across distributed services running on Microsoft Azure — Azure experience is a must.
Work with Azure Databricks, including Unity Catalog and serverless capabilities on Azure — this is a must-have requirement.
Design, deploy, and manage cloud-based solutions in Microsoft Azure.
Implement CI/CD pipelines and automated testing workflows.
Work with Docker in production environments.
Collaborate in an Agile/Scrum team and participate in code reviews, planning, and architecture discussions.
Use SQLAlchemy for database access, ORM, and data modeling.
Develop and maintain asynchronous and scheduled background tasks using Celery.
Strong commercial experience in Python backend development at a senior level.
Mandatory: hands-on experience developing software across distributed services in Microsoft Azure.
Mandatory: practical experience with Azure Databricks, including Unity Catalog and serverless capabilities on Azure.
Mandatory: strong knowledge of Microsoft Azure cloud solutions and services.
Proven experience with backend frameworks such as FastAPI and/or Django.
Experience designing and building RESTful APIs and microservices.
Solid understanding of CI/CD pipelines, automated testing, and deployment workflows.
Practical experience working with Docker in production environments.
Practical experience with SQLAlchemy, including ORM, database sessions, queries, and data modeling.
Experience with Celery for asynchronous processing, background jobs, and scheduled tasks.
Additional Expected Skills:
Strong knowledge of relational databases, preferably Oracle, or very good knowledge of other relational databases.
Strong knowledge of Microsoft Azure cloud services and architecture.
Hands-on experience with Azure Databricks, Unity Catalog, and serverless computing on Azure.
Experience with cloud architecture patterns, scalability, and performance optimization.
Familiarity with testing practices, including unit, integration, and end-to-end testing.
Version control proficiency with Git and experience with collaborative development workflows.
Understanding of security best practices in cloud and backend environments.
Ability to work in Agile/Scrum teams and communicate effectively in English.
Kubernetes experience is a plus.