Senior DevOps Engineer
Core
Design, build, automate, and maintain DevOps platforms supporting AI, ML, Agentic, and traditional applications, ensuring operational excellence and adherence to DevOps best practices.
Role type
Senior DevOps Engineer (AI/ML focus)
Builds
DevOps platforms, CI/CD pipelines, GPU-based AI infrastructure, custom AI agents, and LLM-powered tools
Domain
Cloud infrastructure, AI/ML operations, MLOps, Agentic AI
Deliverable
production ML models | infrastructure | product features
Required skills
Kubernetes, Docker, Linux system administration, Python, CI/CD pipeline development, Infrastructure as Code (IaC), MLOps practices, GPU infrastructure management, AI model deployment and monitoring
Preferred skills
AIOps techniques, n8n workflow automation, AI coding agent customization, root cause analysis, observability implementation
Technologies
Kubernetes, Docker, Python, n8n, LLMs, RAG systems
Responsibilities
Design and maintain DevOps platforms for AI/ML workloads; Deploy and manage GPU-based infrastructure for training and inference; Build and optimize CI/CD pipelines for rapid releases; Operate end-to-end internal AI stack from model selection to monitoring; Troubleshoot performance and reliability issues in distributed systems; Collaborate with Data Science and AI teams to operationalize machine learning models
Seniority
Senior, hands-on IC