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 SQL Alchemy 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 Dev Ops.
• Work with Kafka and related messaging or event-driven application components.
• Use Power Shell 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 Dev Ops teams and other technical stakeholders in an Agile environment.

• 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 SQL Alchemy 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 Dev Ops 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 Power Shell and Bash scripting.
• Experience working in Agile and Dev Ops environments.
• Strong analytical, problem-solving, communication, and collaboration skills.

• Design and develop reliable, scalable, and maintainable Python applications and services.
• Build efficient APIs and backend services using FastAPI.
• Develop database access layers using SQL Alchemy.
• 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 Dev Ops.
• 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 Power Shell 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 Dev Ops teams and technical stakeholders in an Agile environment.
• Share technical expertise and contribute to the continuous improvement of the wider engineering team.

• The opportunity to work on modern Python-based platform and application engineering solutions.
• Exposure to a broad technology stack including…