Cloud Platform Developer

Introduction
Watson Orders is a Silicon Valley 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
Focus on the role not on IBM or business unit. Candidates can learn about the company from places other than the Job Description; tell them about the role and WHY they should want it.

Your Role and Responsibilities
We are currently looking for skilled Infrastructure Engineers to develop maintain and support
container orchestration (kubernetes) distributed ML workloads network services storage
layers and petabyte scale AWS storage and Kafka stream stack.

Responsibilities:

• Develop and maintain scalable distributed systems in AWS
• 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 distributed 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

• AWS experience designing implementing and support cloud-based infrastructure
• Experience architecting deploying and supporting kubernetes in cloud environments
• 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
• Linux experience configuring supporting and optimizing

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 designing and implementing infrastructure as code pipelines
• PubSub Experience (Kafka SQS SNS MQTT)
• Experience designing and implementing traffic routing strategies in edge and microservices environments.