KGS - Consultant - Cloud Engineering

Bengaluru, Karnataka, India

KPMG India

KPMG is a global network of professional firms providing Audit, Tax and Advisory services.

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  • 4 to 10 years of experience in Cloud and DevOps implementation.
  • Expertise in at least one of major CSP such as Azure, AWS or GCP. (Preferably certified in Azure Cloud Service Provider.)
  • Proficiency in at least one programming language (e.g.  Python, Go, Ruby or Java).
  • Experience working with Bash/ PowerShell scripting.
  • Experience with deploying containerized applications and orchestrating them using Docker and Kubernetes.
  • Ability to implement Infrastructure as Code. (Preferably Terraform.)
  • Strong understanding of CI/CD setup principles and best practices in cloud or on-premises platform such as Jenkins, Azure DevOps, GitHub Actions, TeamCity, Bamboo etc.
  • Must be good in integrating security tools in CI/CD pipeline such as SonarQube, WhiteSource, CheckMarx etc.
  • Experience with DevOps practices and must have an experience of working in agile projects.
  • Experience in deploying machine learning models in a production environment.
  • Good to have experience in building infrastructure for Generative AI platform.
  • Able to identify problem scope through proper triage and work collaboratively with peers in all the stages of the development life cycle.
  • Develop monitoring solutions to provide full visibility to the different product components using tools and services like ELK, Prometheus, Grafana, Datadog, AppDynamics, Nagios and other similar tools.
  • Excellent communication & interpersonal skills, effective problem-solving skills and logical thinking ability and strong commitment to professional and client service excellence.

 

 

 

 

  • 4 to 10 years of experience in Cloud and DevOps implementation.
  • Expertise in at least one of major CSP such as Azure, AWS or GCP. (Preferably certified in Azure Cloud Service Provider.)
  • Proficiency in at least one programming language (e.g.  Python, Go, Ruby or Java).
  • Experience working with Bash/ PowerShell scripting.
  • Experience with deploying containerized applications and orchestrating them using Docker and Kubernetes.
  • Ability to implement Infrastructure as Code. (Preferably Terraform.)
  • Strong understanding of CI/CD setup principles and best practices in cloud or on-premises platform such as Jenkins, Azure DevOps, GitHub Actions, TeamCity, Bamboo etc.
  • Must be good in integrating security tools in CI/CD pipeline such as SonarQube, WhiteSource, CheckMarx etc.
  • Experience with DevOps practices and must have an experience of working in agile projects.
  • Experience in deploying machine learning models in a production environment.
  • Good to have experience in building infrastructure for Generative AI platform.
  • Able to identify problem scope through proper triage and work collaboratively with peers in all the stages of the development life cycle.
  • Develop monitoring solutions to provide full visibility to the different product components using tools and services like ELK, Prometheus, Grafana, Datadog, AppDynamics, Nagios and other similar tools.
  • Excellent communication & interpersonal skills, effective problem-solving skills and logical thinking ability and strong commitment to professional and client service excellence.

 

Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)

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Tags: Agile AWS Azure CI/CD Computer Science DevOps Docker ELK Engineering GCP Generative AI GitHub Grafana Java Jenkins Kubernetes Machine Learning ML models Python Ruby Security Terraform

Region: Asia/Pacific
Country: India

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