DevOps Engineer

We are seeking a DevOps Engineer who will be pivotal in scaling, automating, and optimizing our product infrastructure. In this role, you will work closely with our AI engineers and IT/OT operators to build, deploy, and maintain highly reliable and scalable systems. You will focus on CI/CD pipelines, infrastructure-as-code, and monitoring solutions, ensuring smooth delivery and operation of our AI models for quality control automation in production environments.

Responsibilities:

• Improve our existing AI training and deployment pipeline, focusing on data management and experiment tracking.
• Design, implement, and maintain (cloud) infrastructure to support AI applications on the edge.
• Develop and manage CI/CD pipelines to automate testing and deployment of our services, both on edge and in the cloud.
• Set up monitoring, logging, and alerting tools to proactively detect and mitigate issues in cloud and on-premise environments.
• Improve and maintain our node management system ensuring high availability, reliability, and security of production environments.
• Automate infrastructure provisioning, configuration management, and application deployment using tools like infrastructure-as-code (IaC).
• Collaborate with AI, IT/OT, and software development teams to ensure smooth integration of AI-driven quality control solutions into production workflows.
• Ensure security best practices and compliance in cloud and on-prem environments.
• Continuously improve system architecture to support AI model training and inference at scale.

• A basic understanding of AI development workflows.
• Solid knowledge of containerization and orchestration tools (Docker, K8S, Portainer, etc.)
• Strong scripting and automation skills (Python, Bash, or similar).
• Experience with CI/CD tools (Jenkins, GitHub Actions, etc.) and building automated deployment pipelines.
• Experience with monitoring and logging tools (Prometheus, Grafana, etc.).
• Familiarity with security best practices in cloud/on-prem environments.
• Experience in cloud platforms (AWS, Azure, GCP) and related services (EC2, Lambda, S3, etc.).
• Proficiency in infrastructure-as-code (IaC) tools (Bicep, Terraform, or Ansible).
• Familiarity with production environments in manufacturing or quality control automation is a plus.
• Experience with machine learning pipelines and MLOps practices is a plus.
• Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced startup environment.
• A critical, open and honest mind. After all, we are building this company together.
• Flexible, motivated and ambitious.
• Eager to learn on the job and to share knowledge with your team.