• This is an individual contributor position.
• Hands on product/solution development knowledge are a must.
• The position involves conceptualization of a product, design, development, debugging/triaging, deployment at scale, monitoring, analyzing, etc
• Planning, effort estimation and risk analysis of a project.
• The incumbent will plan, evaluate industry alternatives, design and drive new layers, solutions, workflow, features, etc
• Should take the initiative to drive frugality through optimizations without compromising stability or resiliency.

• Bachelor’s / Master’s degree in engineering.
• 9-12 years of relevant industry experience.
• A proven expertise with building large scale platforms on Kubernetes.
• Proven programming skills with languages such as python and go-lang.
• Experience of the latest ML development tools such as pytorch.
• Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases
• Exposure to container runtime environments
• Experience in building, deploying, and managing infrastructures in public clouds (specifically AWS)