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Cloud & AI Engineer @ IBM

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 Cloud & AI Engineer

Job Description

  • Back end development with GoLang
  • Expertise in Kubernetes/OpenShift, Cloud service providers.
  • Knowledge of Generative AI, and ability to integrate AI to applications.
  • Ability to pick up new areas based on business requirements
  • Excellent communication skills
  • Required education
    Bachelor's Degree Preferred education
    Master's Degree Required technical and professional expertise
  • 2+ years of overall experience in backend development. Excellent understanding of system design and best practices.
  • 2+ years of application development with GoLang development.
  • Good level of expertise in Kubernetes or OpenShift, use of Docker/Podman and Cloud service providers.
  • Good level of knowledge of CNI, container native storage.
  • Expertise in Version Control - Git
  • Experience using cloud technologies (AWS/GCP/Azure/IBM Cloud)
  • Experience with Ansible and Shell scripting
  • Proficient in Linux administration.
  • Experience of IaC (Terraform)
  • Expertise in Version Control - Git
  • Design functional DevOps application lifecycle. Good understanding of CICD pipelines such as Jenkins. Should have hands-on in writing and debugging Jenkinsfile
  • Experience using build tools such as Maven, Gradle, Make, Ant
  • Knowledge of AI - Pytorch, TensorFlow, Scikit, Generative AI, and ability to integrate AI functionalities to applications.
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: DevOps
    Role: Site Reliability Engineer
    Employement Type: Full time

    Contact Details:

    Company: IBM
    Location(s): Faridabad

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    Keyskills:   kubernetes openshift golang system design backend development cloud services maven ant microsoft azure ci/cd application development docker ansible gradle tensorflow git gcp linux administration devops jenkins pytorch shell scripting aws

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