Senior Software Engineer - Python/AI/ML Infrastructure
CelonisMunich, GermanyPosted 24 February 2026
Tech Stack
Job Description
<div class="content-intro"><p>We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?</p></div><h3><strong>The Team</strong></h3>
<p>Celonis AI Group (CeloAI) is dedicated to developing state-of-the-art AI/ML technologies for Celonis products and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence. Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis Process Intelligence platform.</p>
<p>We are a global organization with presence in both Germany and the US. CeloAI Germany has its presence in Munich, Darmstadt, and Aachen.</p>
<h3><strong>The Role</strong></h3>
<p>As a Senior Software Engineer on the AI/ML Infrastructure team, you will play a key role in designing, developing, and deploying the infrastructure that supports our AI/ML/LLM initiatives. You will collaborate with software engineers, machine learning engineers, and platform infrastructure engineers to deliver scalable and high-quality solutions.</p>
<p>You will be responsible for architecting and implementing robust technical components that drive the next generation of Process Intelligence. These components will leverage technologies such as computer vision, natural language processing, data mining, recommendation systems, knowledge bases, and business intelligence.</p>
<h3><strong>The work you’ll do</strong></h3>
<ul>
<li>Understand and translate business and technical requirements into effective solutions.</li>
<li>Design and develop highly scalable and performant systems.</li>
<li>Build and maintain low-latency infrastructure for serving AI/ML/LLM models.</li>
<li>Develop intelligent techniques for integrating and processing large-scale enterprise operational data.</li>
<li>Create and maintain APIs, libraries, and infrastructure to support data serving at scale.</li>
<li>Implement data quality and freshness mechanisms for enterprise customers.</li>
</ul>
<h3><strong>The qualifications you need</strong></h3>
<ul>
<li>5+ years of experience in software engineering or a relevant technical role (preferably experienced in Machine Learning Ops)</li>
<li>Expert-level proficiency in Python (preferably experienced with FastAPI, PyDantic, and SQLAlchemy)</li>
<li>Familiarity with distributed systems and event driven architectures (e.g. RabbitMQ or Kafka)</li>
<li>Strong understanding of DevOps principles and tools: Kubernetes, Terraform, DataDog, Docker, CI/CD, ArgoCD</li>
<li>Extensive experience with cloud platforms (AWS, Azure, GCP)</li>
<li>Proven ability to design, build, document, and distribute scalable services, libraries, and tools</li>
<li>Passion for developing AI/ML/LLM solutions and staying up-to-date with industry trends.</li>
</ul><div class="content-conclusion"><p><strong>What Celonis Can Offer You:</strong></p>
<ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0">
<li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Pioneer Innovation:</strong> Work with the leading, award-winning process mining technology, shaping the future of business.</li>
<li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Accelerate Your Growth:</strong> Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.</li>
<li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Receive Exceptional Benefits:</strong> Including generous PTO, ... (truncated, view full listing at source)
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