Senior DevOps Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Implement, manage, and enhance a microservices-oriented platform operating within Kubernetes clusters on AWS, GCP, and on-premises Rancher.

• Support and operate GPU-driven ML inference services utilizing Triton Inference Server and vLLM across RunPod, Scaleway, and Nebius.

• Create and sustain Docker images for all microservices, ensuring a reliable service lifecycle.

• Oversee and scale development and production Kubernetes clusters.

• Engage in deployment troubleshooting, incident analysis, and performance optimization.

• Design, maintain, and evolve custom Helm charts for each service.

• Create and manage CI/CD pipelines using GitHub and GitLab for customer deployments on-premises.

• Ensure adherence to SOC 2 compliance and enhance security and compliance measures.

• Control cluster access via NetBird VPN and execute role-based access management using group policies.

• Build and manage infrastructure through Terraform and Ansible.

• Develop and enhance observability systems leveraging Grafana, Prometheus, and the ELK stack.

• Continuously refine infrastructure across IaC, IAM, observability, and CI/CD.

• Work with technologies such as Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, and Ansible.

⛳️ Requirements

• A minimum of 5 years of experience in a DevOps and/or Site Reliability Engineering position.

• Strong practical experience in Linux system administration.

• Broad experience in deploying, managing, and scaling Kubernetes in both cloud and bare-metal settings.

• In-depth knowledge and hands-on experience with at least one leading cloud provider, preferably Google Cloud Platform.

• Experience with ML inference on GPU/CPU is highly advantageous.

• Demonstrated experience in applying SRE practices and constructing observability stacks utilizing Grafana, Prometheus, and Loki.

• Strong commitment to GitOps, Infrastructure as Code (IaC), and CI/CD methodologies.

• Advanced proficiency in Terraform, Ansible, and Python.

• Capability to thrive in environments with high uncertainty and swiftly acquire new technologies and methodologies.

• A proactive attitude and the ability to debug and comprehend the product beyond standard DevOps responsibilities.

• Strategic mindset for selecting technologies and architectural strategies aligned with long-term objectives.

🏝️ Benefits

• Fully remote work environment.

• 21 vacation days plus public holidays and 5 sick days.

• Private English classes through Preply.

• Rapid career advancement opportunities.

• Startup speed coupled with enterprise-level stability — real clients, real revenue, and minimal bureaucracy.

• Access to a cutting-edge technology stack.

• High engineering standards and genuine ownership.

• Chance to contribute to award-winning AI products.

• Exposure to Speech Technologies, NLP, Generative AI, LLMs, diffusion models, and voice-first agentic architecture.