devops engineer

The company develops award-winning AI products, including devices, voice assistants, and voice-first agentic architectures with a focus on privacy and on-premises deployment.

• Deploy, operate, and evolve a microservices-based platform running in Kubernetes clusters across AWS, GCP, and on-prem;
• Operate and support GPU-based ML inference services;
• Build and maintain Docker images for all microservices;
• Maintain and scale development and production Kubernetes clusters;
• Participate in deployment debugging, incident investigation, and performance troubleshooting;
• Develop, maintain, and evolve custom Helm charts;
• Design and operate CI/CD pipelines using GitHub and GitLab;
• Ensure platform compliance with SOC 2 requirements;
• Manage cluster access via NetBird VPN and implement role-based access control;
• Deploy and manage infrastructure using IaC practices with Terraform and Ansible;
• Develop and improve observability systems using Grafana, Prometheus, and ELK stack;
• Optimize infrastructure in the areas of IaC, IAM, observability, and CI/CD.

• Minimum 5 years of experience in a DevOps or Site Reliability Engineering role;
• Strong hands-on experience with Linux system administration;
• Extensive experience deploying, operating, and scaling Kubernetes in cloud and bare-metal environments;
• Deep expertise with at least one major cloud provider, preferably Google Cloud Platform;
• Proven experience implementing SRE practices and building observability stacks;
• Strong adherence to GitOps, Infrastructure as Code, and CI/CD principles;
• Advanced expertise in Terraform, Ansible, and Python;
• Ability to work in high-uncertainty environments and rapidly learn new technologies;
• Proactive mindset and strategic thinking regarding architectural approaches;
• Nice to have: Experience with ML inference on GPU/CPU.

• 21 Vacation days plus public holidays and 5 sick days;
• Private English lessons via Preply.