Job Description :


  • Work alongside a team of highly qualified engineers to influence architectural decisions

with focus on security, scalability and high-performance.

  • Build tools and systems that will help support and scale the operation of client's machine learning infrastructure and services.
  • Work with partner teams to satisfy all security and regulatory requirements.
  • Author technical/user documentation for workflows, processes, and best practices.
  • Be part of a 24x7 on-call rotation.
  • Setup and maintain monitoring, metrics & reporting systems for fine-grained

observability and actionable alerting. Basic Qualifications:

  • Bachelors Degree
  • At least 1 year of experience working in a Kubernetes platform environment in the public


  • At least 3 years of experience working in Linux environments.
  • At least 3 years of experience working with one of the following languages: Python, Go,

Ruby and Java.

  • At least 3 years of experience working with Terraform, Ansible, Cloud Formation,

Puppet, or Chef. Preferred Qualifications:

  • Experience with scaling large workloads in a container orchestration platform like

Kubernetes in the cloud.

  • Experience identifying and automating operational tasks at all stages of the platform

management lifecycle.

  • Experience with cutting-edge technologies built on top of Kubernetes such as argo,

skaffold, kubeflow, seldon, istio, linkerd, and knative.

  • Experience with application logging, monitoring, and tracing in a Kubernetes


  • Experience working with heterogeneous hardware environments for delivering machine

learning solutions (GPUs, TPUs, FPGAs, etc).

  • Experience with serverless computing in a Kubernetes environment.

Required Skills :
Basic Qualification :
Additional Skills :
Background Check :Yes
Candidate must be your W2 Employee :No
Interview Process :
Additional Keywords :
Degree Requirements :
Certification Requirement :
Minimum Experience (In Years) :10
Travel Requirements :

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