AI Driven Software Engineer (Cloud Native)
Quick Summary
exploring client challenges, identifying AI opportunities, and turning ideas into working solutions. Sometimes that means building a proof of concept in Python,
At Xebia Microsoft Services we’re looking for a Cloud Native Software Engineer with AI superpowers. The kind who sees Python, Azure and AI not just as tools, but as ingredients to cook up solutions that surprise clients and make their business future-proof.
You’re the type who sees opportunities where others see obstacles. A new API? You make it talk. A messy data stream? You turn it into insight. A client with a big vision? You bring it to life with cloud and AI. You thrive in the sweet spot between engineering and innovation, where code isn’t just functional, but transformative. Because at the end of the day, we’re not just building software. We’re enabling businesses to reinvent themselves with the right mix of cloud and intelligence, and to have fun while we do it.
Responsibilities
As an AI Driven Software Engineer you do more than write code, you help organizations discover how cloud and AI can transform the way they work. You combine strong engineering skills with a consultancy mindset: exploring client challenges, identifying AI opportunities, and turning ideas into working solutions. Sometimes that means building a proof of concept in Python, sometimes a production-ready service in .NET, but always with the goal of enabling clients to accelerate their digital transformation.
Facilitate workshops to explore AI opportunities and translate them into tangible use cases.
Design and build AI-enabled cloud-native applications using Azure services (Functions, App Services, Cosmos DB, Azure OpenAI, Cognitive Services).
Create prototypes and proofs of concept in Python or .NET to inspire and validate AI adoption.
Advise on cloud-native architectures, automation, and DevOps practices to ensure scalable and reliable solutions.
Guide clients in embedding AI and cloud practices sustainably into their way of working.
What You Will Bring
You’re more than a strong engineer; you’re someone who sees how technology can transform the way businesses work. You have strong experience with .NET and Azure, and you’re curious about the power of AI to unlock new possibilities. You adapt quickly to new environments, speak the language of both developers and stakeholders, and bring a consultancy mindset that balances advising, challenging, and building.
This includes:
Proven experience in professional projects with .NET and Azure.
Knowledge of Infrastructure as Code (Terraform or Bicep).
Hands-on experience with CI/CD pipelines and DevOps practices.
Familiarity with containerization and orchestration using Docker and Kubernetes.
Interest or experience with AI services in Azure (Cognitive Services, Azure OpenAI, ML Studio)
Your Path To Success In The First Year
Deliver your first AI-powered, cloud-native solution for a client.
Share knowledge in sessions, meetups, or client workshops.
Mentor colleagues and contribute to our cloud-native and AI community of practice.
Grow your skillset with continuous learning and certifications in both cloud and AI.
Why Work for Xebia Microsoft Services
Knowledge sharing at the core: From our weekly knowledge sharing (XKE Tuesdays) to quarterly Innovation Days where you pitch, build, and showcase your ideas.
Broadening your expertise: €5k annual learning budget, unlimited training access, and colleagues across cloud, data, AI, and security.
Everything under one roof: Knowledge sharing, challenging projects, growth opportunities, and plenty of humor – daily.
Making memories together: plenty of activities for every taste: from traveling, motorcycling and ice hockey to cooking workshops, karaoke nights, and team-driven events you help organise.
Does this sound like the kind of place where you can thrive? Hit the apply button, reach out for a chat, or meet us at one of our events.
Location & Eligibility
Listing Details
- First seen
- May 20, 2026
- Last seen
- May 24, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 20, 2026
Signal breakdown
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