Technical architect (id:3286)

Stafide
Amstelveen, Netherlands
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

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.

Apply for this position

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