About this role
Location: Stockholm, Sweden Work Arrangement: Hybrid (On-site 3 Days per Week) Employment Type: Full-Time (FTE) Experience Required: 5-10 Years Language Requirement: Swedish (Mandatory), Any nationality can apply
We are seeking an experienced Technical Lead – GenAI & Cloud Engineering to lead the design, architecture, and delivery of cloud-native and AI-powered solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, Python, FastAPI, OpenAI API integration, and Generative AI technologies along with proven experience leading engineering teams and driving technical decisions. This role requires a combination of technical leadership, solution architecture, backend engineering, cloud technologies, and AI integration experience to deliver scalable, secure, and high-performance enterprise solutions.
Key Responsibilities
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Technical Leadership & Architecture
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Own the end-to-end technical architecture and solution design for complex projects.
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Lead and mentor engineering teams and provide technical guidance.
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Drive technical decision-making, technology selection, and implementation approaches.
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Conduct architecture reviews, code reviews, and technical assessments.
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Collaborate with business stakeholders, product owners, and cross-functional teams.
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Cloud Engineering (GCP & BigQuery)
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Design and build cloud-native applications on Google Cloud Platform (GCP).
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Develop and optimize BigQuery solutions for analytics and data processing workloads.
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Integrate cloud services with applications, APIs, and data platforms.
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Implement cloud security, monitoring, access management, and deployment best practices.
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Optimize cloud performance, scalability, and resource utilization.
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Python & API Development
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Design, develop, and maintain backend applications using Python.
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Build and support RESTful APIs using FastAPI.
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Integrate backend services with databases, cloud services, external platforms, and AI models.
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Implement authentication, logging, testing, monitoring, and API documentation.
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Troubleshoot and optimize application performance.
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Generative AI & OpenAI Integration
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Design and implement AI-powered applications and Generative AI solutions.
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Integrate OpenAI APIs and other Large Language Models (LLMs) into enterprise applications.
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Develop AI-driven workflows and automation capabilities.
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Evaluate and implement appropriate AI integration patterns.
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Ensure AI solutions meet security, scalability, reliability, and performance requirements.
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Software Delivery & Engineering Excellence
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Oversee the complete software development lifecycle from design to production support.
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Support version control, CI/CD, testing, deployment, and release management practices.
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Identify technical risks and provide mitigation strategies.
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Ensure alignment between technical delivery and business goals.
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Must Have Skills
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Mandatory Swedish language proficiency (spoken and written)
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Hands-on experience with Google Cloud Platform (GCP)
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Hands-on experience with BigQuery
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Strong hands-on Python development experience
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Hands-on experience developing REST APIs using FastAPI
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Hands-on experience with OpenAI API integration
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Hands-on experience designing and implementing Generative AI solutions
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Experience leading development teams and driving technical decisions
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Good to Have Skills
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Experience with Microservices Architecture
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Experience with Distributed Systems
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Experience with AI Agents and Workflow Automation
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Experience with Cloud Security and IAM
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Experience with CI/CD and DevOps Practices
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Experience with Automated Testing Frameworks
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Experience with Data Analytics and Data Platform Integrations
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Experience with Monitoring and Observability Tools
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Experience with Database Design and Optimization
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Experience conducting Code Reviews and enforcing Engineering Best Practices
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Experience defining Technical Roadmaps
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GCP Certifications
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AI / Generative AI Certifications
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Bachelor's Degree in Computer Science, Information Technology, or a related field
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Experience working in Hybrid and Distributed Teams