OpsWerks is a technical consulting company specializing in operational services for the high-tech industry. We help platform and infrastructure teams operate multi-cloud environments, execute complex migrations, and enable seamless app deployments.
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)
Ready to start your awesome journey and be part of OpsWerks
