Google Cloud Platform Solution Architect (AD Level) job vacancy

Vacancy expired!

Google Cloud Platform Solution Architect (AD Level)It will be day 1 onsite hybrid role in below location:

A very quick fill role with immediate interviews.Note : Google Cloud professional certification is a must.We are currently seeking a highly skilled

Google Cloud Platform Solution Architect who will be responsible for Managing end to end Google Cloud Platform platform.

Responsibilities:

Deploying and managing applications in a GKE environment
Writing automation scripts and tools to manage the infrastructure
Building and maintaining Docker containers
Monitoring and troubleshooting of Kubernetes clusters
Collaborating with development teams to ensure application deployment is seamless
Ensuring high availability and scalability of applications
Keeping up to date with the latest developments in Kubernetes and related technologies.
Integrating GKE with other tools and systems using Python APIs.
Developing custom plugins and extensions for Kubernetes using Python.
Implementing security and compliance policies for applications running on Google Anthos.
Managing multi-cluster and multi-cloud deployments using Google Anthos.
Accelerate cloud adoption by influencing and standardizing reusable patterns to develop prebuilt solutions or automation templates
Develop workload specific migration templates
Keeping up to date with the latest developments in Kubernetes and related technologies.
Integrating GKE with other tools and systems using Python APIs.
Developing custom plugins and extensions for Kubernetes using Python.
Keywords: GKE, GKE Autopilot, Anthos, Serverless, Knative, Python

Required Skills/Qualifications:

Strong years of experience in Overall Infrastructure along with 3-5 years of Google Cloud Platform Cloud experience.
Experience in migrating large scale customer facing applications from on premise to Google Cloud Platform environment.
Aptitude to be a good team player and the willingness to learn and implement new cloud technologies as needed.
Good Understanding of Cloud Infrastructure concepts and data center load balancing technologies, Networking and TCP/IP Server hardware configuration and Standard Internet services, such as DNS, HTTP, etc.
Methodical approach to troubleshooting complex problems.
Knowledge of Linux or windows scripting languages, such as Python, Bash, or PowerShell etc.
Monitoring and Instrumentation DevOps toolchain Technical and Professional Expertise.
Keywords: GKE, GKE Autopilot, Anthos, Serverless, Knative, Python

Preferred Skills/Qualification:

Cloud Architecture and Strategy standardization of reference architecture / identification of reusable composite patterns to develop prebuilt solutions or automation templates / Identify opportunities to accelerate cloud adoption
DevOps / Cloud Engineers with automation expertise (IaC, Terraform Public cloud)
Cloud adoption and migration expertise.