Senior Python Platform Engineer (ID: 4057)
Key Skills
Job Description
- 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.
- 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.
- 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.
- 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.
Core Responsibilities
Design, develop, and maintain reliable software solutions for the Data Access Layer using Python and modern frameworks. Collaborate with DevOps teams to manage infrastructure, CI/CD pipelines, and event-driven components in an Azure environment.
Requirements
Requires 6-8 years of professional experience in software or platform engineering with strong proficiency in Python and backend development. Candidates must have hands-on experience with cloud infrastructure, containerization, and automated testing practices.
About STAFIDE
Industry: Staffing and Recruiting
Company size: 11-50 employees
Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.