Job Description

We are looking to strengthen our team for a DevOps/SRE Engineer!

Requirements

• Minimum 5 years of experience in a DevOps and/or Site Reliability Engineering role
• Strong hands-on experience with Linux system administration
• Extensive experience deploying, operating, and scaling Kubernetes in both cloud and bare-metal environments
• Deep expertise and practical experience with at least one major cloud provider (preferably Google Cloud Platform)
• Experience with ML inference on GPU/CPU is a strong plus
• Proven experience implementing SRE practices and building observability stacks using Grafana, Prometheus, and Loki
• Strong adherence to GitOps, Infrastructure as Code (IaC), and CI/CD principles
• Advanced expertise in Terraform, Ansible, and Python
• Comfortable working in high-uncertainty environments: we are building a new product, requirements evolve quickly, and the ability to rapidly learn new technologies and patterns is essential
• Proactive mindset: ability to look beyond DevOps tasks and actively debug and understand the product
• Strategic thinking: ability to choose technologies and architectural approaches based on long-term goals rather than short-term compromises

Responsibilities

• Deploy, operate, and evolve a microservices-based platform running in Kubernetes clusters across AWS, GCP, and on-prem (Rancher)
• Operate and support GPU-based ML inference services (Triton Inference Server, vLLM) deployed 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 Kubernetes clusters, actively participate in deployment debugging, incident investigation, and performance troubleshooting
• Develop, maintain, and evolve custom Helm charts for each service
• Design and operate CI/CD pipelines using GitHub (code and pipelines) and GitLab for on-prem customer deployments
• Ensure platform compliance with SOC 2 requirements and actively contribute to improving security and compliance processes
• Manage cluster access via NetBird VPN, implementing role-based access control using group policies
• Deploy and manage infrastructure using IaC practices with Terraform and Ansible
• Develop and continuously improve observability systems:
• Grafana & Prometheus for metrics
• ELK stack for centralized log storage and analysis
• Continuously optimize infrastructure in the areas of IaC, IAM, Observability, and CI/CD
• Work with a technology stack, including: Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, Ansible

What we offer

• The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world
• Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
• High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
• Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
• Startup pace with enterprise stability — real clients, real revenue, no bureaucracy
• Fully remote
• 21 vacation days + public holidays + 5 sick days
• Private English lessons via Preply