Senior Software Engineer - Python/AI/ML Infrastructure

Celonis

9 months ago

Munich, Germany

Senior

H1B Sponsor

Responsibilities

Understand and translate business and technical requirements into effective solutions.
Design and develop highly scalable and performant systems.
Build and maintain low-latency infrastructure for serving AI/ML/LLM models.
Develop intelligent techniques for integrating and processing large-scale enterprise operational data.
Create and maintain APIs, libraries, and infrastructure to support data serving at scale.
Implement data quality and freshness mechanisms for enterprise customers.

5+ years of experience in software engineering or a relevant technical role, preferably in Machine Learning Ops.
Expert-level proficiency in Python, preferably with FastAPI, PyDantic, and SQLAlchemy.
Familiarity with distributed systems and event-driven architectures, such as RabbitMQ or Kafka.
Strong understanding of DevOps principles and tools, including Kubernetes, Terraform, DataDog, Docker, CI/CD, and ArgoCD.
Extensive experience with cloud platforms like AWS, Azure, or GCP.
Proven ability to design, build, document, and distribute scalable services, libraries, and tools.
Passion for developing AI/ML/LLM solutions and staying up-to-date with industry trends.

Work with leading, award-winning process mining technology.
Benefit from clear career paths, internal mobility, and mentorship opportunities.
Receive generous PTO, hybrid working options, company equity (RSUs), and comprehensive benefits.
Access resources such as gym subsidies, counseling, and well-being programs.
Participate in dedicated inclusion and belonging programs.
Contribute ideas in an open culture with autonomous teams.

Apache KafkaAWSAzureDatadogDockerFastAPIGoogle Cloud PlatformKubernetesPythonRabbitMQTerraform