Manager - Cloud DevOps Engineer

2 weeks ago

india KPMG India Full time

KPMG Global Services (KGS) India is a strategic global delivery organization that works with more than 50 KPMG firms to provide a progressive, scalable and customized approach to business requirements.

The KGS India journey has been one of consistent growth, with a current employee count of c.21,000, operating from eight locations in India — Bengaluru, Gurugram, Hyderabad, Mumbai, Kochi, Noida, Pune and Kolkata. — and providing a range of Advisory and Tax-related services to KPMG firms around the world.


Location: Bangalore


Key Areas and Responsibilities

"CIO Advisory Service Networks are aimed at building capabilities that are directly related to the CIO and managing/transforming the IT function.”


Job Summary


Within KPMG's Technology service line, the Infrastructure Engineering team’s mission is to be the best Infrastructure team ever, by using the right tools for the right job, failing fast and automating like our lives depend on it. Right from the leadership level, our team are fully committed to the DevOps culture and are consistently trying to change to ensure that culture is nurtured and grows.


We operate at genuine scale taking advantage of our alliance partnerships with the industry leading public cloud providers to deliver cutting edge solutions to clients on a global stage. If the public cloud is your future and you’re amazing at solving difficult, interesting and complex challenges and actually writing code, roll up your sleeves then drop us a line and remember to bring cake.


You will be working to continuously advance and standardise our client’s infrastructure and pipelined deployments, whilst collaborating with colleagues to write infrastructure as code that scales and takes advantage of the technologies available in the market.


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.


Qualification


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

Desired Skills and Experience


  • 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.

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