Technical Lead – GenAI & Cloud Engineering

Datamatics Technologies; Mumbai; Hybrid; INR 12,416,000 - 18,147,000; Full time

Job summary

Datamatics Technologies is seeking a Technical Lead – GenAI & Cloud Engineering in Stockholm to lead architecture and delivery of cloud-native and AI-powered solutions. The role requires hands-on expertise in GCP, BigQuery, Python, FastAPI, OpenAI API integration, and Generative AI, with proven leadership experience.

The candidate will drive technical decisions, mentor teams, and ensure scalable, secure enterprise solutions across the full software delivery lifecycle.

Qualifications

• Must have 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 end-to-end technical architecture and solution design for complex projects.
• Lead and mentor engineering teams; provide technical guidance.
• Drive technology decisions, selection, and implementation approaches.
• Conduct architecture and code reviews; perform technical assessments.
• Collaborate with stakeholders, product owners, and cross-functional teams.
• Design and build cloud-native apps on GCP and optimize BigQuery solutions.

Skills

Swedish language

GCP

BigQuery

Python

FastAPI

OpenAI API integration

Generative AI

Leadership

Education

Bachelor's degree in CS/IT or related

Tools

CI/CD tooling

DevOps practices

Microservices

Job description

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

Technical Leadership & Architecture

• 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.

Cloud Engineering (GCP & BigQuery)

• 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.
• Optimize cloud performance, scalability, and resource utilization.

Python & API Development

• Design, develop, and maintain backend applications using Python.
• Build and support RESTful APIs using FastAPI.
• Integrate backend services with databases, cloud services, external platforms, and AI models.
• Implement authentication, logging, testing, monitoring, and API documentation.
• Troubleshoot and optimize application performance.

Generative AI & OpenAI Integration

• Design and implement AI-powered applications and Generative AI solutions.
• Integrate OpenAI APIs and other Large Language Models (LLMs) into enterprise applications.
• Develop AI-driven workflows and automation capabilities.
• Evaluate and implement appropriate AI integration patterns.
• Ensure AI solutions meet security, scalability, reliability, and performance requirements.

Software Delivery & Engineering Excellence

• Oversee the complete software development lifecycle from design to production support.
• Support version control, CI/CD, testing, deployment, and release management practices.
• Identify technical risks and provide mitigation strategies.

Ensure alignment between technical delivery and business goals.

Must Have Skills

• 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

Good to Have Skills

• Experience with Microservices Architecture
• Experience with Distributed Systems
• Experience with AI Agents and Workflow Automation
• Experience with Cloud Security and IAM
• Experience with CI/CD and DevOps Practices
• Experience with Automated Testing Frameworks
• Experience with Data Analytics and Data Platform Integrations
• Experience with Monitoring and Observability Tools
• Experience with Database Design and Optimization
• Experience conducting Code Reviews and enforcing Engineering Best Practices
• Experience defining Technical Roadmaps
• GCP Certifications
• AI / Generative AI Certifications
• Bachelor's Degree in Computer Science, Information Technology, or a related field
• Experience working in Hybrid and Distributed Teams