Cloud-Native Software

About the Team

Devoteam Creative Tech is Belgium's leading digital consultancy, specializing in cloud-native development, AI innovation, and modern software engineering. Our multidisciplinary teams work on high-impact projects for top-tier clients across industries — from intelligent automation to large-scale platform modernizations. We foster a culture of curiosity, continuous learning, and creative problem-solving.

About the Role

As a Cloud-Native Software / Solutions Architect at Devoteam Creative Tech, you will take a leading role in designing, building, and evolving cloud-native application architectures for our clients. This is an AI Augmented position: you are expected to actively leverage AI tools and techniques to accelerate development, improve code quality, and drive innovation across the software development lifecycle.

Mission

• Design and lead the architectural strategy for cloud-native applications, ensuring high availability, scalability, and resilience in hybrid or multi-cloud environments.

• Drive application modernization initiatives, migrating legacy monolithic systems to microservices, serverless, or containerized architectures.

• Design flexible and well-structured back-end architectures using modern cloud services and patterns (event-driven, CQRS, domain-driven design).

• Champion DevOps/DevSecOps culture: automate CI/CD pipelines, integrate security into the build process, and promote infrastructure-as-code practices.

• Leverage AI-assisted software engineering tools (e.g., GitHub Copilot, Cursor, Antigravity, Google Gemini, Claude) to optimize the SDLC and enhance developer productivity.

• Integrate AI/ML capabilities into cloud-native solutions — including LLM-powered features, RAG architectures, AI agents, and intelligent automation.

• Translate business goals into technical roadmaps and advise clients on cloud adoption and AI integration strategies.

• Participate in code reviews, technical design sessions, and quality assurance processes to ensure high-quality deliverables.

• Provide technical guidance and mentorship to development teams.

• Communicate effectively with clients and stakeholders, clearly explaining technical concepts to non-technical audiences.

Profile

• Strong analytical and problem-solving skills with a strategic mindset.

• Deep understanding of software design patterns, principles, and architectural styles (microservices, event-driven, SOA, clean architecture).

• Strong understanding of the software development lifecycle, including Agile methodologies.

• Solid grasp of security concepts, compliance standards, and DevSecOps best practices.

• Excellent communication and leadership skills — ability to lead technical workshops, present to C-level stakeholders, and mentor teams.

• Genuine curiosity and enthusiasm for AI — you actively experiment with AI tools and stay on top of the latest developments in generative AI, LLMs, and AI-assisted engineering.

• Willingness to continuously learn and obtain certifications in cloud technologies and AI.

• Fluency in Dutch or French, and English.

Technical Requirements

Languages & Cloud Platforms

• Programming Languages — Java, Python, C#/.NET, TypeScript, or similar.

• Cloud Platform Expertise — Azure, AWS, or Google Cloud with hands-on experience in cloud-native services.

Infrastructure & DevOps

• Containerization & Orchestration — Docker, Kubernetes, AKS/EKS/GKE.

• Infrastructure-as-Code — Terraform, Bicep, Pulumi, or CloudFormation.

• CI/CD Pipeline Design — GitHub Actions, GitLab CI, Azure DevOps, Jenkins.

APIs & Integration

• API Design & Management — REST, gRPC, GraphQL, API gateways.

• Message-Driven Architectures — Kafka, RabbitMQ, Azure Service Bus, Pub/Sub.

AI Skills

This is an AI Augmented role. The following AI competencies are mandatory:

• Hands-on experience with AI-assisted coding tools (GitHub Copilot, Cursor, Antigravity, Google Gemini, Claude, or similar).

• Practical understanding of Large Language Models (LLMs), prompt engineering, and how to integrate LLM APIs (OpenAI, Anthropic, Google Gemini, Azure OpenAI) into applications.

• Experience with or strong understanding of Retrieval-Augmented Generation (RAG) patterns, vector databases (Pinecone, Weaviate, ChromaDB, pgvector), and embedding models.