DevOps Support SRE, AWS with Sagemaker ML

  • Austin, TX
  • Posted 29 days ago | Updated 14 days ago

Overview

On Site
$50 - $60
Contract - W2
Contract - 12 Month(s)

Skills

DevOps
Kubernetes
Sagemaker
Python
MLOps
MLFlow
Splunk

Job Details

Role: DevOps Support SRE, AWS with Sagemaker ML.

Location: Austin, TX.

Duration: W2 Contract

Job Description:

  • Technically sound in AWS, Kubernetes, and Python, basic SQL, ML Ops knowledge like MLFlow a plus.
  • Answering/Fixing support issues for DatalaLab.
  • Implement and maintain Infra as Code and Build pipeline.
  • Taking measures to minimize on-call incidents.
  • Post incident reviews.
  • Documenting the issue resolution and the undocumented knowledge
  • Work with dev teams to ensure that the new features meet the reliability and performance goals.
  • Ability to work with geographically distributed teams in India and SCV
  • Successful candidate will have several years of experience in supporting large enterprise systems with at least 10 different upstream and downstream systems., Identifying issues from Splunk logs.
  • Excellent problem-solving skills and decision-making skills about when to engage other team members.