GenAI & Cloud Engineering Lead — GCP/BigQuery

Datamatics Technologies

Malmö kommun

Hybrid

SEK 950,000 - 1,300,000

Full time

5 days ago

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Job summary

Datamatics Technologies seeks an experienced Technical Lead – GenAI & Cloud Engineering to guide architecture, design, and delivery of cloud-native and AI-powered solutions in a hybrid setup (On-site 3 Days per Week). You will lead engineering teams, drive technical decisions and ensure secure, scalable enterprise systems.

The role emphasizes hands-on GCP, BigQuery, Python development, REST APIs with FastAPI, and Generative AI integrations with OpenAI APIs.

Qualifications

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.

Responsibilities

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.
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.
Design, develop, and maintain backend applications using Python; build REST APIs with FastAPI.
Integrate backend services with databases, cloud services, external platforms, and AI models.
Design and implement AI-powered applications and Generative AI solutions.
Integrate OpenAI APIs and other LLMs into enterprise applications.
Oversee the complete software development lifecycle from design to production support.