Senior Python Platform Engineer (ID: 4057)

ph3As a Senior Python Platform Engineer - Data Access Layer, you will: /h3 ul liDesign, develop, test, deploy, and maintain reliable software solutions for the Data Access Layer.br/ /li liDevelop application components using Python and modern Python frameworks and libraries.br/ /li liBuild APIs and backend services using FastAPI.br/ /li liWork with SQLAlchemy for database access and application data management.br/ /li liDevelop asynchronous applications using AsyncIO where required.br/ /li liImplement automated testing using Pytest to ensure application quality and reliability.br/ /li liDesign and maintain containerized applications using Docker.br/ /li liDevelop and operate applications within Kubernetes environments.br/ /li liProvision and manage infrastructure using Terraform.br/ /li liWork with Microsoft Azure cloud services and application infrastructure.br/ /li liImplement and maintain CI/CD pipelines using Azure DevOps.br/ /li liWork with Kafka and related messaging or event-driven application components.br/ /li liUse PowerShell and Bash for scripting, automation, and operational activities.br/ /li liWork with Databricks Unity Catalog and support data access and governance requirements.br/ /li liDesign application infrastructure and solutions that meet high availability and reliability requirements.br/ /li liParticipate in the complete software development lifecycle, from planning and design through development, testing, and automated deployment.br/ /li liApply software engineering best practices, code reviews, and quality standards.br/ /li liCollaborate with DevOps teams and other technical stakeholders in an Agile environment.br/ /li /ul h3What You Bring to the Table: /h3 ul li6-8 years of overall professional experience in software engineering, platform engineering, application development, or a related field.br/ /li liStrong hands-on proficiency in Python.br/ /li liExperience developing backend applications and APIs using FastAPI.br/ /li liExperience with SQLAlchemy and database-driven applications.br/ /li liExperience with asynchronous Python development using AsyncIO.br/ /li liExperience with Pytest and automated software testing.br/ /li liHands-on experience with Docker and Kubernetes.br/ /li liStrong experience with Terraform and infrastructure-as-code practices.br/ /li liExperience working with Microsoft Azure cloud technologies.br/ /li liHands-on experience with Azure DevOps and CI/CD pipelines.br/ /li liExperience with Kafka and event-driven application environments.br/ /li liExperience working with Databricks Unity Catalog or a strong understanding of its capabilities.br/ /li liExperience with application infrastructure, architecture, and design.br/ /li liExperience designing or supporting applications with high availability requirements.br/ /li liStrong understanding of CI/CD principles and practical experience setting up and maintaining pipelines.br/ /li liExperience applying software engineering best practices and participating in code reviews.br/ /li liExperience with PowerShell and Bash scripting.br/ /li liExperience working in Agile and DevOps environments.br/ /li liStrong analytical, problem-solving, communication, and collaboration skills.br/ /li /ul h3You should possess the ability to: /h3 ul liDesign and develop reliable, scalable, and maintainable Python applications and services.br/ /li liBuild efficient APIs and backend services using FastAPI.br/ /li liDevelop database access layers using SQLAlchemy.br/ /li liDesign and implement asynchronous application components using AsyncIO.br/ /li liDevelop comprehensive automated tests using Pytest.br/ /li liContainerize applications using Docker and deploy and manage workloads using Kubernetes.br/ /li liProvision and manage cloud infrastructure using Terraform.br/ /li liWork effectively with Microsoft Azure and Azure-based application infrastructure.br/ /li liBuild, configure, maintain, and troubleshoot CI/CD pipelines using Azure DevOps.br/ /li liWork with Kafka-based messaging and event-driven application architectures.br/ /li liUnderstand and work with Databricks Unity Catalog in data access and governance scenarios.br/ /li liDesign application infrastructure that supports high availability, reliability, and scalability.br/ /li liAutomate development and operational activities using PowerShell and Bash.br/ /li liApply software engineering principles throughout planning, design, development, testing, deployment, and maintenance.br/ /li liConduct and participate in effective code reviews while maintaining high standards of code quality.br/ /li liAnalyze complex technical problems and design efficient and sustainable solutions.br/ /li liWork collaboratively with DevOps teams and technical stakeholders in an Agile environment.br/ /li liShare technical expertise and contribute to the continuous improvement of the wider engineering team.br/ /li /ul h3What we bring to the table: /h3 ul liThe opportunity to work on modern Python-based platform and application engineering solutions.br/ /li liExposure to a broad technology stack including Python, FastAPI, SQLAlchemy, AsyncIO, Pytest, Docker, Kubernetes, Terraform, Azure, Azure DevOps, and Kafka.br/ /li liOpportunities to work with Databricks Unity Catalog and data access layer technologies.br/ /li liHands-on experience with cloud infrastructure, application architecture, automation, and high-availability solutions.br/ /li liOpportunities to design and maintain modern CI/CD and DevOps practices.br/ /li liAn Agile and collaborative DevOps environment focused on reliable software delivery.br/ /li liOpportunities to contribute across the complete software development lifecycle, from planning and design through automated deployment and production support.br/ /li liA team-oriented environment where knowledge sharing, code quality, technical ownership, and continuous improvement are encouraged.br/ /li /ul h3Let’s Connect /h3 pWant to discuss this opportunity in more detail? Feel free to reach out.br/ /p /p #J-18808-Ljbffr