Devops Engineer - Gurugram, India - YO HR CONSULTANCY

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    Description

    DevsecopsEngineer


    Location:Gurgaon
    Exp:8 to 12Years
    Musthave:
    • AWS/Azure/GCP
    • Ci/Cd
    • Docker/Kubernetes
    • MLops
    • Expwith Ci/Cd tools and methodologies; Scriptinf languages likePython/bash
    • Exp with Devops/Devsecops in aCloud Based environment

    AdditionalSkills:
    • CommunicationSkills
    • StakeholderManagement

    Responsibilities:
    • Collaboratewith crossfunctional teams to automate and streamline softwaredevelopment and operations processes using bestpractices.
    • Develop maintain and improve CI/CDpipelines for efficient code deployment and releasemanagement.
    • Design and implement infrastructureas code (IaC) solutions using tools like Terraform Ansible orCloudFormation.
    • Ensure the availabilityscalability and reliability of production systems by implementingmonitoring logging and alertingmechanisms.
    • Collaborate with development teamsto promote a DevSecOps culture by integrating security practicesinto the software development lifecycle
    • Conductregular security assessments to identify vulnerabilities andrecommend remediation measures.
    • Collaboratewith Data Science teams to build and deploy machine learning modelsin a production environment.
    • Implement MLOpsbest practices for model versioning validation deployment andmonitoring.
    • Work closely with infrastructureand cloud service providers to optimize performance cost andresourceutilization.

    Requirements:
    • Bachelorsdegree in Computer Science Engineering or a related field.
    • Proven experience as a DevOps or DevSecOpsEngineer in a cloudbased environment (e.g. AWSAzureGCP).
    • Strong knowledge of CI/CD tools andmethodologies (e.g. Jenkins Git BitbucketGitLab).
    • Proficiency in scripting languages(e.g. Python Bash) and infrastructureascode tools (e.g. TerraformAnsible).
    • Experience implementing securitypractices including vulnerability assessments penetration testingand security incident response.
    • Familiaritywith containerization technologies (e.g. Docker Kubernetes) andrelated tools (e.g.Helm Rancher).
    • Previousexperience deploying and monitoring machine learning models in aproduction environment.
    • Understandingof MLOps principles including model versioning validationdeployment and monitoring.
    • Strongproblemsolving skills and the ability to handle multiple tasks anddeadlines simultaneously.
    • Excellentcommunication and collaboration skills to work effectively withcrossfunctionalteams.

    cd,devsecops,aws,code,infrastructure,cloud