Technical architect (id:3286)
Stafide
Amstelveen, Netherlands
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Microsoft Azure
Cloud Computing
Cloud Engineering
Code Review
Continuous Integration
Information Engineering
DevOps
Python (Programming Language)
Performance Tuning
Spring Cloud
+6 more
Containerization
Machine Learning Operations
Data Pipelines
Api Management
Serverless Computing
Microservices
Job description
- Design and implement scalable solutions leveraging Azure Cloud, Python, and AI technologies.
- Define and oversee architecture frameworks, ensuring system performance, security, and reliability.
- Lead the integration of AI-driven services, automation, and analytics into enterprise systems.
- Collaborate with development teams to translate complex business needs into robust technical designs.
- Ensure seamless deployment through CI/CD pipelines, DevOps practices, and Azure-native tools.
- Provide architectural guidance, code reviews, and technical mentorship across project teams., * Architect and implement end-to-end cloud and AI-driven solutions using Azure and Python.
- Bridge business objectives with innovative, scalable, and maintainable technical strategies.
- Drive architectural discussions and make informed technology recommendations.
- Optimize system performance, cost-efficiency, and automation through cloud innovation.
- Mentor teams and promote best practices in AI, data engineering, and cloud development.
What We Bring to the Table:
- A forward-thinking, AI and cloud-focused environment fostering innovation and creativity.
- Opportunities to work with cutting-edge Azure and AI technologies across diverse projects.
- Exposure to enterprise-scale architecture design, modernization, and intelligent automation initiatives.
Requirements
- Deep expertise in Azure architecture, Python development, and AI solution design.
- Strong understanding of microservices, APIs, data pipelines, and cloud-native applications.
- Proficiency in containerization, serverless computing, and API management within Azure.
- Experience integrating AI models and machine learning workflows into enterprise ecosystems.
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