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Technical Lead – GenAI & Cloud Engineering

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Onsite

Technical Lead – GenAI & Cloud Engineering

Datamatics Technologies

Technical Lead – GenAI & Cloud Engineering

Skills

Google Cloud PlatformPythonMicroservicesGitData AnalysisAINo-code AutomationsFastAPI

13 days ago

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Important information


Contract type:

Permanent

Location:

Sweden

Work mode:

Onsite

Published on:

9 October 2026

What they need


Location: Stockholm, Sweden
Work Arrangement: Hybrid (On-site 3 Days per Week)
Employment Type: Full-Time (FTE)
Experience Required: 5-10 Years
Language Requirement: Swedish (Mandatory), Any nationality can apply

We are seeking an experienced Technical Lead – GenAI & Cloud Engineering to lead the design, architecture, and delivery of cloud-native and AI-powered solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, Python, FastAPI, OpenAI API integration, and Generative AI technologies along with proven experience leading engineering teams and driving technical decisions.
This role requires a combination of technical leadership, solution architecture, backend engineering, cloud technologies, and AI integration experience to deliver scalable, secure, and high-performance enterprise solutions.
Key Responsibilities
Technical Leadership & Architecture

  • Own the end-to-end technical architecture and solution design for complex projects.
  • Lead and mentor engineering teams and provide technical guidance.
  • Drive technical decision-making, technology selection, and implementation approaches.
  • Conduct architecture reviews, code reviews, and technical assessments.
  • Collaborate with business stakeholders, product owners, and cross-functional teams.

Cloud Engineering (GCP & BigQuery)

  • Design and build cloud-native applications on Google Cloud Platform (GCP).
  • Develop and optimize BigQuery solutions for analytics and data processing workloads.
  • Integrate cloud services with applications, APIs, and data platforms.
  • Implement cloud security, monitoring, access management, and deployment best practices.
  • Optimize cloud performance, scalability, and resource utilization.

Python & API Development

  • Design, develop, and maintain backend applications using Python.
  • Build and support RESTful APIs using FastAPI.
  • Integrate backend services with databases, cloud services, external platforms, and AI models.
  • Implement authentication, logging, testing, monitoring, and API documentation.
  • Troubleshoot and optimize application performance.

Generative AI & OpenAI Integration

  • Design and implement AI-powered applications and Generative AI solutions.
  • Integrate OpenAI APIs and other Large Language Models (LLMs) into enterprise applications.
  • Develop AI-driven workflows and automation capabilities.
  • Evaluate and implement appropriate AI integration patterns.
  • Ensure AI solutions meet security, scalability, reliability, and performance requirements.

Software Delivery & Engineering Excellence

  • Oversee the complete software development lifecycle from design to production support.
  • Support version control, CI/CD, testing, deployment, and release management practices.
  • Identify technical risks and provide mitigation strategies.

Ensure alignment between technical delivery and business goals.

Must Have Skills

  • Mandatory Swedish language proficiency (spoken and written)
  • Hands-on experience with Google Cloud Platform (GCP)
  • Hands-on experience with BigQuery
  • Strong hands-on Python development experience
  • Hands-on experience developing REST APIs using FastAPI
  • Hands-on experience with OpenAI API integration
  • Hands-on experience designing and implementing Generative AI solutions
  • Experience leading development teams and driving technical decisions

Good to Have Skills

  • Experience with Microservices Architecture
  • Experience with Distributed Systems
  • Experience with AI Agents and Workflow Automation
  • Experience with Cloud Security and IAM
  • Experience with CI/CD and DevOps Practices
  • Experience with Automated Testing Frameworks
  • Experience with Data Analytics and Data Platform Integrations
  • Experience with Monitoring and Observability Tools
  • Experience with Database Design and Optimization
  • Experience conducting Code Reviews and enforcing Engineering Best Practices
  • Experience defining Technical Roadmaps
  • GCP Certifications
  • AI / Generative AI Certifications
  • Bachelor's Degree in Computer Science, Information Technology, or a related field
  • Experience working in Hybrid and Distributed Teams

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