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