Senior Python Platform Engineer (ID: 4057)

As a Senior Python Platform Engineer – Data Access Layer, you will: Design, develop, test, deploy, and maintain reliable software solutions for the Data Access Layer. Develop application components using Python and modern Python frameworks and libraries. Build APIs and backend services using FastAPI. Work with SQLAlchemy for database access and application data management. Develop asynchronous applications using AsyncIO where required. Implement automated testing using Pytest to ensure application quality and reliability. Design and maintain containerized applications using Docker. Develop and operate applications within Kubernetes environments. Provision and manage infrastructure using Terraform. Work with Microsoft Azure cloud services and application infrastructure. Implement and maintain CI/CD pipelines using Azure DevOps. Work with Kafka and related messaging or event-driven application components. Use PowerShell and Bash for scripting, automation, and operational activities. Work with Databricks Unity Catalog and support data access and governance requirements. Design application infrastructure and solutions that meet high availability and reliability requirements. Participate in the complete software development lifecycle, from planning and design through development, testing, and automated deployment. Apply software engineering best practices, code reviews, and quality standards. Collaborate with DevOps teams and other technical stakeholders in an Agile environment. What You Bring to the Table: 6–8 years of overall professional experience in software engineering, platform engineering, application development, or a related field. Strong hands-on proficiency in Python. Experience developing backend applications and APIs using FastAPI. Experience with SQLAlchemy and database-driven applications. Experience with asynchronous Python development using AsyncIO. Experience with Pytest and automated software testing. Hands-on experience with Docker and Kubernetes. Strong experience with Terraform and infrastructure-as-code practices. Experience working with Microsoft Azure cloud technologies. Hands-on experience with Azure DevOps and CI/CD pipelines. Experience with Kafka and event-driven application environments. Experience working with Databricks Unity Catalog or a strong understanding of its capabilities. Experience with application infrastructure, architecture, and design. Experience designing or supporting applications with high availability requirements. Strong understanding of CI/CD principles and practical experience setting up and maintaining pipelines. Experience applying software engineering best practices and participating in code reviews. Experience with PowerShell and Bash scripting. Experience working in Agile and DevOps environments. Strong analytical, problem-solving, communication, and collaboration skills. You should possess the ability to: Design and develop reliable, scalable, and maintainable Python applications and…