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DevOps Engineer

2 months ago

Bangalore Urban, India KPMG Full time

Key Areas and Responsibilities, As a Cloud Engineer, you will:

• Collaborate with cross-functional teams to implement and automate cloud infrastructure solutions that meet business requirements and performance goals.

• Work with current-edge cloud technologies and requires hands-on programming experience.

• Develop and maintain Infrastructure as Code using tools like Terraform or ARM template to automate the deployment of cloud resources.

• Implement security best practices, conduct regular security assessments, and ensure compliance with industry standards and regulations.

• Setup monitoring and alerting systems to proactively identify and resolve infrastructure issues.

• Optimize resource utilization and costs and provide regular reports on expense forecasting.

• Collaborate with software development to develop new features along with enabling the continuous integration and continuous delivery CI/CD pipelines.

• Design, development, optimize, and performance tuning of custom applications.

• Create and maintain clear and comprehensive documentation for infrastructure configurations and processes.


Desired Skills and Experience

• 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 problemsolving

skills and logical thinking ability and strong commitment to

professional and client service excellence.