OpsWerks
Your Role As a Senior AI Platform Engineer, you will be responsible for operating, maintaining, and continuously improving the company’s AI platforms running on Kubernetes (On-premise and/or on AWS/GCP) - similar on the AIoEKS (AI on EKS) deployment frameworks and Kubeflow’s Machine Learning Toolkit Platform Ownership \& Operations Deploy new releases and configuration changes through GitOps/DevOps Monitor platform and service health using logs, metrics, and observability tools Improve platform observability, operational tooling/automations, self-service capabilities and reliability practices to reduce recurring issues Participate in incident response, root cause analysis and 24x7 operational rotations User \& Developer Experience Investigate \& troubleshoot user concerns by either correlating them to system-related issues, breaking integrations and/or user-specific errors/misconfigurations up to recommending/executing resolutions Advocate for platform standards, security best practices, and operational excellence Collaboration and Leadership Provide structured Python mentorship to junior engineers, focusing on strong fundamentals and bridge foundational Python knowledge toward MLOps competencies Lead the adoption of MLOps best practices for the team Influence the team roadmap by identifying gaps in tooling, skills, and processes required to support production-grade AI systems Your Qualifications 3\+ years of experience supporting production workloads/platforms (Ray.IO, Jupyter Notebooks, AWS SageMaker, Kubeflow AI Tools or an AI-related equivalent) 5\+ years of hands-on experience AI/ML lifecycle (development/deployment, DevOps/MLOps) 5\+ years of Python experience in development \& support on AI/ML workflows and data engineering pipelines Practically skilled in Kubernetes environments including Cloud-provider managed Kubernetes flavors (AWS-EKS/GCP-GKE) Knowledge on microservice architectures and service communication patterns Strong troubleshooting fundamentals such as application crashes, resource contentions, service latency, and scaling behavior Well-rounded competency in analyzing logs, metrics, monitoring systems, and service KPIs Plus points if you have: Exposure in other Data/AI platforms such as Flyte, HuggingFace \& AI Agent Platforms (Vertex AI, Claude Code, LangChain, etc...) Hands-on experience with automation or scripting (Bash, Python) Kubernetes or cloud certifications (CKAD, AWS)
OpsWerks
