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

Datamatics Technologies; Turku; Hybrid; EUR 107,000 - 170,000; Full time

Job summary

Datamatics Technologies in Stockholm, Sweden seeks an experienced Technical Lead – GenAI & Cloud Engineering to lead architecture and delivery of cloud-native and AI-powered solutions. You will drive technical decisions and shape scalable backend systems using GCP, BigQuery, Python, FastAPI, and Generative AI integrations.

The role combines technical leadership, backend engineering, and cloud AI delivery, with emphasis on security, reliability, and performance in enterprise environments.

Qualifications

• Fluency in Swedish (spoken and written) is mandatory.
• Hands-on experience with Google Cloud Platform (GCP).
• Hands-on experience with BigQuery.
• Strong Python development experience.
• Hands-on experience developing REST APIs using FastAPI.
• Hands-on experience integrating OpenAI APIs.
• 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.

Skills

Swedish language proficiency

GCP

BigQuery

Python

FastAPI

OpenAI API integration

Generative AI

Leadership experience

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD tools

Cloud security best practices

Job description

Datamatics Technologies in Stockholm, Sweden seeks an experienced Technical Lead – GenAI & Cloud Engineering to lead architecture and delivery of cloud-native and AI-powered solutions. You will drive technical decisions and shape scalable backend systems using GCP, BigQuery, Python, FastAPI, and Generative AI integrations.

The role combines technical leadership, backend engineering, and cloud AI delivery, with emphasis on security, reliability, and performance in enterprise environments.