Software Developer – Production Engineering Watson Orders


Raleigh, NC, USA Remote


Software Development

Jan 25


Watson Orders is a IBM Silicon Valley based technology development group targeting the development of world-class conversational AI. Our mission is to deliver advanced technology solutions that address real-world, data driven needs in a 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 Senior Software developer – Production Engineering to ensure performance and reliability for AI & ML driven voice agent microservices, Edge Kubernetes clusters, network services, and storage layers.Work closely with other Watson Orders development teams in an embedded SRE model to help define & implement key metrics for uptime, reliability, and performance of these services and develop runbooks for incident management.
  • Develop deep service telemetry through metric collection, distributed tracing, visualization, and reporting via Open Telemetry, Prometheus, and related tooling.
  • Implement stability and performance optimizations in Python.
  • Participate in the definition and management of SLIs, SLOs and error budgets for infrastructure and production services.
  • Design, develop and maintain CI\\CD pipelines for integration and edge Kubernetes clusters.

Required Technical and Professional Expertise

  • 5+ Years Linux experience configuring, supporting, and optimizing
  • 2+ Years experience architecting, deploying, and supporting edge k8s environments.
  • 2+ years experience designing and supporting distributed systems.
  • 2+ years Experience in one of more languages such as Python, Java, Go – ability to debug, optimize, and write scalable code.

Preferred Technical and Professional Expertise

  • Experience implementing telemetry frameworks (Open Telemetry, prometheus) and infrastructure (Prometheus, Jaeger, and similar tools)
  • Experience designing and implementing infrastructure as code pipelines
  • Familiarity with AWS DevOps (Roles, VPCs, S3, Terraform)
  • Familiarity running distributed ML workloads in cluster orchestrated environments
  • 2+ Years PubSub Experience (Kafka, MQTT, SQS)

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