Senior Python Platform Engineer

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: 68 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 services. Build efficient APIs and backend services using FastAPI. Develop database access layers using SQLAlchemy. Design and implement asynchronous application components using AsyncIO. Develop comprehensive automated tests using Pytest. Containerize applications using Docker and deploy and manage workloads using Kubernetes. Provision and manage cloud infrastructure using Terraform. Work effectively with Microsoft Azure and Azure-based application infrastructure. Build configure maintain and troubleshoot CI/CD pipelines using Azure DevOps. Work with Kafka-based messaging and event-driven application architectures. Understand and work with Databricks Unity Catalog in data access and governance scenarios. Design application infrastructure that supports high availability reliability and scalability. Automate development and operational activities using PowerShell and Bash. Apply software engineering principles throughout planning design development testing deployment and maintenance. Conduct and participate in effective code reviews while maintaining high standards of code quality. Analyze complex technical problems and design efficient and sustainable solutions. Work collaboratively with DevOps teams and technical stakeholders in an Agile environment. Share technical expertise and contribute to the continuous improvement of the wider engineering team. What we bring to the table: The opportunity to work on modern Python-based platform and application engineering solutions. Exposure to a broad technology stack including Python FastAPI SQLAlchemy AsyncIO Pytest Docker Kubernetes Terraform Azure Azure DevOps and Kafka. Opportunities to work with Databricks Unity Catalog and data access layer technologies. Hands-on experience with cloud infrastructure application architecture automation and high-availability solutions. Opportunities to design and maintain modern CI/CD and DevOps practices.