Design and build systems that improve machine learning scalability, usability, and performance
Work cross-functionally with product managers, data scientists, and engineers to understand, implement, and deploy machine learning pipelines
Work with data scientists and MLE to build pipelines to train and deploy models
Explore the state-of-the-art technologies and apply them to deliver customer benefits
Embed into development projects and assist teams in delivering new features, services, and consumer experiences through production with speed and quality
Full-stack system engineering
Utilize your deep knowledge of networking, systems, and software engineering coupled with your understanding of service-oriented architectures, mastery of CI/CD and AWS to steer operational approaches and solutions
Expertly build and operate services within AWS
Assist project teams with designing and setting up highly available cloud environments
Eligibility Criteria:
Experienced in Python, Bash, Groovy (only Jenkins).
Strong concepts in AWS tech.
Experience with software container technology (e.g., Kubernetes, Docker).
Experience with CI/CD tools (Jenkins/Jenkins2, Spinnaker, CodePipeline, TeamCity, Bamboo, etc) and GitOpsKnowledge of data query and data processing tools (i.e. SQL)
2+ years of solid Configuration Management experience: (For example Chef, Puppet, Salt, Ansible, Cfengine, etc)
Experience with writing user stories in Jira, grooming project backlogs, planning sprints, and working with Scrum or Kanban
Experience with ITSM and ITOM stack
AWS certification preferred
