GenAI & Cloud Tech Lead (GCP, BigQuery, Python)

Datamatics-Global-Services-Ltd; Turku; Hybrid; EUR 90,000 - 135,000; Full time

Job summary

Datamatics-Global-Services-Ltd in Stockholm seeks a Technical Lead – GenAI & Cloud Engineering to drive the design, architecture, and delivery of cloud-native and AI-powered solutions. You will lead engineering teams and own architectural decisions across GCP, BigQuery, Python, FastAPI, and OpenAI integrations.

The role focuses on Generative AI, scalable backend services, secure cloud deployments, and collaboration with stakeholders to align technology with business goals.

Qualifications

• Swedish language proficiency mandatory (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.

Responsibilities

• Own 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.
• Oversee cloud-native design on GCP, BigQuery analytics, security and deployment best practices.

Skills

Leadership

Architecture

Cloud engineering

Python development

FastAPI

OpenAI integration

Generative AI

Education

Bachelor's degree in CS/IT

Tools

GCP

BigQuery

Python

FastAPI

OpenAI API

Job description

Datamatics-Global-Services-Ltd in Stockholm seeks a Technical Lead – GenAI & Cloud Engineering to drive the design, architecture, and delivery of cloud-native and AI-powered solutions. You will lead engineering teams and own architectural decisions across GCP, BigQuery, Python, FastAPI, and OpenAI integrations.

The role focuses on Generative AI, scalable backend services, secure cloud deployments, and collaboration with stakeholders to align technology with business goals.