KGS - Consultant - Cloud Engineering

• 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)