Platform Engineer

Introduction
WatsonX Orders is a Silicon Valley & Poland based technology development group within IBM targeting the development of world-class conversational AI. Our mission is to deliver advanced technology solutions that address real-world data driven needs in customer-facing the quick service restaurant environment. We are focused on using state-of-the-art Machine Learning AI and related technologies to completely transform the customer experience!

Your Role and Responsibilities
We are currently looking for skilled Platform Engineers to develop maintain and support container orchestration (kubernetes) machine learning workloads network services and storage layers across cloud and on-premise.
Responsibilities:

• Develop and maintain scalable distributed systems in IBM Cloud AWS and on-premise.
• Develop and maintain high performance k8s clusters across multiple regions.
• Develop and maintain telemetry infrastructure & service instrumentation (python) for metrics distributed tracing and logging.
• Support infrastructure for a petabyte scale data platform and stream analysis services.
• Work with Audio and Speech AI Engineers to accelerate development and deployment of heterogeneous analysis and training pipelines
• Participate in the definition and management of SLIs SLOs and error budgets for infrastructure and production services.
• Design and implement infrastructure-as-code pipelines

Required Technical and Professional Expertise

• 2+ Years cloud development (IBM cloud preferred and AWS) experience designing implementing and support cloud-based infrastructure
• 2+ Years experience architecting deploying and supporting kubernetes in cloud and on-prem environments.
• 2+ years experience designing and supporting distributed systems.
• Experience writing production code in one of more languages such as Python (preferred) Java Go in a microservices environments.
• 2+ Years Linux experience configuring supporting and optimizing. Bonus for Redhat

Preferred Technical and Professional Expertise

• Familiarity running distributed ML workloads in cluster orchestrated environments
• Experience building and supporting telemetry and related infrastructure (Open Telemetry Jaeger Grafana Prometheus)
• Experience with k8s ecosystem tooling like helm deployment tools such as ArgoCD
• Experience designing and implementing infrastructure as code pipelines
• Experience designing and implementing traffic routing strategies in edge and microservices environments.