Senior DevOps Engineer

About the role

We are seeking a Senior DevOps Engineer to join our AI‑focused team. You will design, build and operate a micro‑services platform that runs on Kubernetes across multiple clouds and on‑premise environments, supporting GPU‑accelerated ML inference services.

Key responsibilities

• Deploy, operate, and evolve a microservices‑based platform on Kubernetes clusters across AWS, GCP, and on‑premise (Rancher).
• Operate GPU‑based ML inference services (Triton Inference Server, vLLM) on RunPod, Scaleway, and Nebius.
• Build and maintain Docker images for all microservices and ensure a stable service lifecycle.
• Maintain and scale development and production clusters, debug deployments, investigate incidents, and troubleshoot performance.
• Develop and evolve custom Helm charts for each service.
• Design CI/CD pipelines using GitHub and GitLab for on‑premise customer deployments.
• Ensure platform compliance with SOC 2 requirements and improve security and compliance processes.
• Manage cluster access via NetBird VPN with role‑based access control.
• Deploy and manage infrastructure using Terraform and Ansible.
• Develop observability systems: Grafana, Prometheus, and ELK stack for metrics and logs.
• Continuously optimize IaC, IAM, observability, and CI/CD practices.

Required profile

• Minimum 5 years of experience in DevOps or Site Reliability Engineering roles.
• Strong hands‑on Linux system administration.
• Proven experience implementing SRE practices and building observability stacks.
• Ability to thrive in high‑uncertainty environments and rapidly learn new technologies.
• Proactive and strategic mindset to choose long‑term architectural solutions.

Required skills

• Linux
• Kubernetes
• AWS
• Google Cloud Platform
• Rancher
• Docker
• Helm
• GitHub
• GitLab
• Terraform
• Ansible
• Python
• Grafana
• Prometheus
• Loki
• ELK stack (Elasticsearch, Logstash, Kibana)
• PostgreSQL
• ClickHouse
• Kafka
• Superset
• NetBird VPN
• Triton Inference Server
• vLLM

What we offer

• Work on award‑winning AI products for leading tech corporations.
• Access to cutting‑edge technologies such as speech, NLP, generative AI and on‑premise deployment.
• High engineering standards with full ownership of production systems.
• Collaborative team focused on real‑world impact.