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Salary
$95k – $128k per year (gross)
Location
Hybrid (Munich, Germany)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026.

Overview
Company
Impact
Profile match
XALT is a German cloud consultancy offering individual cloud advisory and engineering for companies. It is certified with Azure, AWS, Google, Atlassian and the Cloud Native Computing Foundation, works on products in regulated banking environments, and hires product managers, business analysts and senior DevOps engineers, mostly in Leipzig. The company is headquartered in Munich, Germany.

For you, a good architecture proves itself when people can rely on it every day. You want to make sound decisions with clients, implement them yourself and learn from operations. At XALT, you take cloud platforms and migrations from the first requirements through to running systems.

What we are working towards

We want to help companies use AI to improve the work people rely on every day. We combine consulting, software development and our own products to make that happen. What excites us is seeing a technical idea become something people can count on.

What you will work on

  • Design and deliver cloud migrations for enterprise and public-sector clients.
  • Build infrastructure for AI workloads and agents.
  • Implement infrastructure as code, CI/CD and observability yourself.
  • Support the operation of what you build and automate appropriate recovery tasks.
  • Bring security, privacy and compliance requirements into architecture decisions early.

What you bring

  • Several years of cloud architecture experience, such as AWS, Azure or Google Cloud, and Kubernetes
  • Hands-on experience with Terraform, pipelines and operating distributed systems
  • Enjoyment of direct client work, including on-site sessions
  • An infrastructure or operations task you have automated using AI
  • Business-fluent German and English

What we offer

  • Unlimited tokens for Claude, OpenAI and the latest, most advanced AI tools
  • €85,000-115,000 gross per year, depending on experience; we are open to going beyond this range for exceptional profiles
  • Professional exchange within the team, across the Atlassian ecosystem as a Platinum Partner, and through the XALT AI Circle and IT Revolution

Your working arrangements

We value working together in the office: developing ideas, learning from one another and talking things through in person. Living in or around Munich or Leipzig is therefore a plus. Remote work is also possible. If you live further away, we would still love to hear from you. Together, we will discuss an arrangement that works for you, your team and the role.

This role includes work on client sites. We will discuss travel and on-site expectations for the specific projects with you.

Our professional community

Exchanging ideas with others is part of what we enjoy about this work. For our XALT AI Circle in Munich in autumn 2026, we have invited Peter Steinberger of the OpenClaw Foundation to discuss personal agents. In October 2026, Philipp Göllner spoke at the Enterprise AI Summit in Charlotte about how our team built a Chief of Staff agent. We plan to represent XALT again at the summit in Portland in May 2027. For a closer look at our work, see Philipp’s talk from Charlotte.

Your AI example

We would like to understand how you approach problems and what you have learned along the way. Bring a process you have automated yourself with AI and show it to us live. Walk us through your contribution, whether the workflow works consistently, and what has measurably improved. We are also interested in its limitations and how you check the results. One example is enough; you can recreate it with test data. Please do not share confidential information or protected code.

Your application

Does this sound like work you would enjoy? We would love to hear from you. Send your CV to [email protected] and tell us what you would like to work on. The conversation should also give you room to ask about the team, your responsibilities and what you need to do good work. We will discuss the interview arrangements and your AI demonstration with you personally. You can also send any questions beforehand to [email protected].

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