GenAI & Cloud Engineering Lead - GCP, BigQuery, Python

Datamatics-Global-Services-Ltd

Göteborgs kommun

Hybrid

SEK 1,100,000 - 1,400,000

Full time

9 days ago

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Job summary

Datamatics-Global-Services-Ltd in Sweden seeks an experienced Technical Lead – GenAI & Cloud Engineering to guide design, architecture, and delivery of cloud-native and AI-powered solutions. You will lead cross-functional teams and shape technical strategy using GCP, BigQuery, Python, FastAPI, and OpenAI integrations.

The role emphasizes hands-on backend development, Generative AI, secure cloud practices, and scalable enterprise delivery, with a hybrid work model (On-site 3 days/week) and

Qualifications

  • Mandatory Swedish language proficiency (spoken and written).
  • GCP hands-on experience.
  • Hands-on BigQuery experience.
  • Strong Python development experience.
  • Experience building REST APIs with FastAPI.
  • Experience integrating OpenAI API and Generative AI.
  • Experience leading development teams and driving decisions.
  • Bachelor’s degree in CS/IT or related field (preferred).

Responsibilities

  • Own end-to-end technical architecture and solution design for complex projects.
  • Lead and mentor engineering teams and provide technical guidance.
  • Drive technology decisions, selection, and implementation approaches.
  • Conduct architecture and code reviews and technical assessments.
  • Collaborate with stakeholders, product owners, and cross-functional teams.
  • Design cloud-native apps on GCP and optimize BigQuery workloads.
  • Develop backend services with Python and FastAPI, with secure APIs.

Skills

Swedish language
GCP
BigQuery
Python
FastAPI
OpenAI API
Generative AI
Technical leadership

Education

Bachelor's degree in CS / IT / related field

Job description

Datamatics-Global-Services-Ltd in Sweden seeks an experienced Technical Lead – GenAI & Cloud Engineering to guide design, architecture, and delivery of cloud-native and AI-powered solutions. You will lead cross-functional teams and shape technical strategy using GCP, BigQuery, Python, FastAPI, and OpenAI integrations.

The role emphasizes hands-on backend development, Generative AI, secure cloud practices, and scalable enterprise delivery, with a hybrid work model (On-site 3 days/week) and

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