GenAI & Cloud Engineering Lead - Hands-on & Mentoring

Datamatics-Global-Services-Ltd

Stockholms kommun

Hybride

SEK 1 000 000 - 1 400 000

Plein temps

Il y a 10 jours

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Résumé du poste

Datamatics-Global-Services-Ltd in Stockholm, Sweden, invites a Technical Lead for GenAI & Cloud Engineering. Hybrid work arrangement, strong cloud and AI integration skills, and leadership abilities are essential to guide architecture and delivery of scalable solutions.

The role requires hands-on GCP, BigQuery, Python, FastAPI, and OpenAI API experience, with a proven history of steering engineering teams toward secure, high-performance outcomes.

Qualifications

  • Swedish language proficiency is mandatory.
  • 5–10 years of relevant experience in cloud and GenAI engineering.
  • Hands-on GCP experience with BigQuery and data analytics.
  • Strong Python development and REST API design with FastAPI.
  • Experience integrating OpenAI APIs and Generative AI solutions.
  • Proven track record leading engineering teams and making technical decisions.

Responsabilités

  • Own end-to-end technical architecture and solution design.
  • Lead and mentor engineering teams and provide guidance.
  • Drive technology selection and implementation approaches.
  • Conduct architecture reviews, code reviews, and assessments.
  • Collaborate with stakeholders and cross-functional teams.
  • Design cloud-native apps on GCP and optimize BigQuery workloads.
  • Develop backend services with Python and FastAPI, and API docs.
  • Integrate AI models and OpenAI APIs into enterprise apps.
  • Ensure security, scalability, and reliable performance.

Connaissances

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

Formation

Bachelor's Degree in Computer Science or related field

Outils

GCP
BigQuery
Python
FastAPI
OpenAI API

Description du poste

Datamatics-Global-Services-Ltd in Stockholm, Sweden, invites a Technical Lead for GenAI & Cloud Engineering. Hybrid work arrangement, strong cloud and AI integration skills, and leadership abilities are essential to guide architecture and delivery of scalable solutions.

The role requires hands-on GCP, BigQuery, Python, FastAPI, and OpenAI API experience, with a proven history of steering engineering teams toward secure, high-performance outcomes.

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