DevOps Engineer at RepRisk AG

R
RepRisk AG

DevOps Engineer

ch flag
Switzerland

Hybrid

Full Time

#Technology

#CI CD

#AI ML

#Docker

#Kubernetes

#AWS

#Azure

#Observability

#Security

#Cloud Native

RepRisk AG is looking for a DevOps Engineer

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We are a forward-thinking team dedicated to pushing the boundaries of technology, and we are currently looking for a Senior DevOps Engineer who is passionate about the intersection of infrastructure and artificial intelligence. Our mission is to empower our engineering teams by building robust, innovative AI and machine learning capabilities that drive our organization forward. If you are an expert at creating scalable systems and want to help shape the future of our technical landscape, we would love to have you on our team.

About the Role

This is a full-time position for a Senior DevOps Engineer with a specific focus on AI exposure. You will play a critical role in ensuring our systems remain stable, performant, and efficient while integrating cutting-edge AI and machine learning workflows into our existing infrastructure. You will work in a hybrid capacity, balancing collaborative office time with the flexibility of working from home.

Key Responsibilities

  • Design and maintain high-performance CI/CD pipelines specifically tailored to support our complex AI and machine learning workflows.
  • Oversee our containerization and orchestration strategies by leveraging Docker and Kubernetes to ensure seamless deployment.
  • Implement comprehensive observability and monitoring solutions for distributed AI agents to maintain system health and security across AWS and Azure environments.

Requirements

To succeed in this role, you should be a seasoned professional with a strong engineering mindset and a proven track record in cloud-native environments. We are looking for candidates who possess the following qualifications:

  • Extensive experience with AWS and Azure cloud platforms.
  • Deep technical proficiency in Docker, Kubernetes, and modern CI/CD practices.
  • A solid understanding of observability, security, and cloud-native architecture.
  • The ability to evaluate and integrate LLM-based tools to improve overall engineering productivity.
  • Excellent communication skills in English to drive AI adoption and promote best practices across our cross-functional teams.

Location

This position is based in Switzerland. Please note that this is a hybrid role, and you will be expected to be in the office two days per week.

Compensation and Benefits

We value the contributions of our team members and offer a supportive work environment. As part of our commitment to work-life balance, this role includes hybrid work arrangements.

R

RepRisk AG

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