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Devops Engineer
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Devops Engineer

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1 Vacancy
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Job Location

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Bengaluru - India

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2508677

Devsecops Engineer


Location: Bengaluru

Exp: 8 to 12 Years

Must have:

  • AWS/Azure/GCP
  • Ci/Cd
  • Docker/Kubernetes
  • MLops
  • Exp with Ci/Cd tools and methodologies; Scriptinf languages like Python/bash
  • Exp with Devops/Devsecops in a Cloud Based environment

Additional Skills:
  • Communication Skills
  • Stakeholder Management

Responsibilities:
  • Collaborate with crossfunctional teams to automate and streamline software development and operations processes using best practices.
  • Develop maintain and improve CI/CD pipelines for efficient code deployment and release management.
  • Design and implement infrastructure as code (IaC) solutions using tools like Terraform Ansible or CloudFormation.
  • Ensure the availability scalability and reliability of production systems by implementing monitoring logging and alerting mechanisms.
  • Collaborate with development teams to promote a DevSecOps culture by integrating security practices into the software development lifecycle
  • Conduct regular security assessments to identify vulnerabilities and recommend remediation measures.
  • Collaborate with Data Science teams to build and deploy machine learning models in a production environment.
  • Implement MLOps best practices for model versioning validation deployment and monitoring.
  • Work closely with infrastructure and cloud service providers to optimize performance cost and resource utilization.

Requirements:
  • Bachelors degree in Computer Science Engineering or a related field.
  • Proven experience as a DevOps or DevSecOps Engineer in a cloudbased environment (e.g. AWSAzure GCP).
  • Strong knowledge of CI/CD tools and methodologies (e.g. Jenkins Git Bitbucket GitLab).
  • Proficiency in scripting languages (e.g. Python Bash) and infrastructureascode tools (e.g. Terraform Ansible).
  • Experience implementing security practices including vulnerability assessments penetration testing and security incident response.
  • Familiarity with containerization technologies (e.g. Docker Kubernetes) and related tools (e.g.Helm Rancher).
  • Previous experience deploying and monitoring machine learning models in a production environment.
  • Understanding of MLOps principles including model versioning validation deployment and monitoring.
  • Strong problemsolving skills and the ability to handle multiple tasks and deadlines simultaneously.
  • Excellent communication and collaboration skills to work effectively with crossfunctional teams.


cd,devsecops,aws,code,cloud

Employment Type

Full Time

Company Industry

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