DevOps Engineer

Skills: CI/CD, Kubernetes, Docker, Nginx, Microsoft Azure. Qualification: Middle. Specializations: DevOps Engineer.

We are looking for a DevOps/MLOps engineer to join our project team to support and develop a machine learning platform and AI services (LLMs, agents, chatbots).

What you will be doing:

• Deploying ML models and AI services, local models (LLMs, ML models) in various environments;
• Managing model versions and storage (NFS/MinIO);
• Preparing environments for inference and model testing;
• Deploying AI agent, chatbot, and ML service instances in Kubernetes and Docker Compose;
• Working with large models and GPUs in Kubernetes and Docker CI/CD for ML services and infrastructure;
• Building Docker images, npm packages, artifacts;
• Writing and refactoring pipelines in Azure DevOps;
• Participating in Dockerfile development for ML services, consultations;
• Building base images;
• Working with Docker Compose, runtimes: containerd, Docker, Podman;
• Monitoring Docker layers for secrets;
• Operating and maintaining Kubernetes clusters;
• Developing and refactoring Helm charts;
• Working with TLS/SSL certificates and their rotation, including via Nginx;
• Collecting container logs;
• Integrating logs with Elastic/Logstash, metrics with VictoriaMetrics/Prometheus;
• Managing Kubernetes secrets and HC Vault. Integrating ML pipelines with CI/CD; preparing infrastructure for model training;
• Diagnosing issues with model and service startup;
• Debugging Kubernetes workloads;
• Optimizing resource utilization (CPU/GPU/RAM);
• Preparing technical documentation.

What we expect from you:

• Experience as a DevOps/MLOps engineer;
• Experience with Kubernetes;
• Containerization experience (Docker, Docker Compose);
• CI/CD experience.

We offer:

Remote work format, 5/2, flexible start to the workday.

Official employment with all social guarantees

Option for hybrid work format

Comfortable office within walking distance of Voykovskaya metro station and Baltiyskaya MCC with meal compensation

Voluntary medical insurance with telemedicine and dentistry from the first day of employment; preferential enrollment for relatives

Attractive salary package with access to a large ecosystem of services

External training and participation in conferences, meetups, hackathons, and knowledge sharing

Travel insurance policy and preferential insurance programs

Casual dress code and no bureaucracy