Senior DevOps Engineer
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Job Description
Senior DevOps Engineer operating Kubernetes, cloud, and GPU inference infrastructure for an award-winning AI product company. Building secure, observable CI/CD platforms across cloud and on-premises environments.
Responsibilities:
- Deploy, operate, and evolve a microservices-based platform running in Kubernetes clusters across AWS, GCP, and on-premises Rancher
- Operate and support GPU-based ML inference services using Triton Inference Server and 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 Kubernetes clusters
- 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 and GitLab for on-premises customer deployments
- Ensure platform compliance with SOC 2 requirements and improve security and compliance processes
- Manage cluster access via NetBird VPN and implement role-based access control using group policies
- Deploy and manage infrastructure using Terraform and Ansible
- Develop and continuously improve observability systems using Grafana, Prometheus, and the ELK stack
- Continuously optimize infrastructure across IaC, IAM, observability, and CI/CD
- Work with Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, and Ansible
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
- Ability to work in high-uncertainty environments and rapidly learn new technologies and patterns
- Proactive mindset and ability to debug and understand the product beyond DevOps tasks
- Strategic thinking for selecting technologies and architectural approaches based on long-term goals
Benefits:
- Fully remote
- 21 vacation days + public holidays + 5 sick days
- Private English lessons via Preply
- Fast career progression
- Startup pace with enterprise stability — real clients, real revenue, no bureaucracy
- Cutting-edge tech stack
- High engineering bar and real ownership
- Opportunity to work on award-winning AI products
- Exposure to Speech Technologies, NLP, Generative AI, LLMs, diffusion models, and voice-first agentic architecture
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