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., * 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.

• An Agile and collaborative DevOps environment focused on reliable software delivery.

• Opportunities to contribute across the complete software development lifecycle, from planning and design through automated deployment and production support.

• A team-oriented environment where knowledge sharing, code quality, technical ownership, and continuous improvement are encouraged.

• 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 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.