Assistant Manager - Multi Cloud & DevOps

About us:

KPMG Delivery Network India (KDNI) is a diverse entity spread across multiple cities in India. We are an important part of the KPMG Delivery Network (KDN), a global organization that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries.

Roles & responsibilities:

• As an Advisory consultant in this team, you will play a key role in implementing Cloud & DevOps solutions for clients.

• Ability to follow client discussion for their Cloud & DevOps requirements and provide domain support.

• Deliver engagements in the Cloud, DevOps, Security assessment & transformation for organizations.

What you will do:

• Develop and maintain a comprehensive multi-cloud strategy aligned with organizational goals.

• Evaluate current and future use of cloud services and create roadmaps for cross-cloud adoption and optimization.

• Define principles, policies, and governance for using multiple cloud platforms consistently and securely.

• Work with stakeholders to assess workloads and determine optimal cloud placement based on performance, cost, and compliance.

• Lead the design of a cloud-agnostic architecture that ensures high availability, interoperability, and scalability.

• Implement the identified best suited Cloud and DevOps practice for the client environment.

• Manage cloud cost spends, monitoring and cost management using tools like CloudHealth, CloudCheckr, or Cloudability.

Mandatory Technical Skills:

• Experience in virtualization, containerization, PaaS service in public cloud environment.

• Experience in creation of CI/CD automation using standard Industry Tools - Jenkins, Bamboo, Cloud CI/CD Services, GitLab etc.

• Expertise in Infrastructure as Code using Terraform or native tools.

• Experience with containerization (Docker) and orchestration (Kubernetes).

• Proficiency in scripting languages (Bash, PowerShell, Python).

Preferred Technical Skills:

• Capability to build proof-of-concepts (POCs) for emerging DevOps tools.

• Exposure to Generative AI concepts and frameworks, such as GANs, VAEs, or Transformers.

Educational qualifications:

• A bachelor's or master's degree or equivalent.

• Relevant Azure & GCP Certifications (Azure Solutions Architect Expert, DevOps Engineer Expert, GCP Professional Cloud Architect).