The Role
* As a AWS Kubernetes Platform Engineer, you will be responsible for designing, implementing, and maintaining our Kubernetes Clusters, Lead AWS migration.
* You will work closely with development teams to ensure the platform is reliable, scalable, and efficient. Your expertise will drive our AWS cloud migration and enhance our ability to deploy and manage containerized applications.
* Work on cutting-edge technologies and projects that push the boundaries of what’s possible in the role of AWS platform Engineer.
Your responsibilities:
* Work in developing and migrating AWS based Applications
* Develop and maintain Terraform scripts to provision and manage AWS resources, including Kubernetes clusters and associated services.
* Kubernetes management – deploy, configure and manage Kubernetes clusters
* Performing SRE and App Support Role for migrated Application
* Incident Management and Response
* Conducting Problem Management & Change Management
Essential skills/knowledge/experience:
* Experience with creating and setting up Github Actions
* Working proficiency with Jenkins Pipelines
* 3 years plus experience working on Kubernetes based Containers Orchestration Platforms - AWS EKS
* 2 years plus experience working with Infrastructure as Code - Terraform required
* Working proficiency with programming languages - Python, Node.js preferred
* Experience setting up or integration with Observability tools - Datadog, CloudWatch, X-Ray
* Experience with troubleshooting/debugging on public cloud infrastructure (AWS)
* Working Knowledge of RDS Databases and Cache Engines
* 3 years plus Experience with Traffic management and routing - proficiency with Akamai desired
* Working proficiency with Route 53 and AWS Elastic Load Balancing
* Experience with Cloud Security and Compliance is a plus
Desirable skills/knowledge/experience:
* 3-5 years of Working proficiency with AWS Cloud and hands on experience in AWS Application migration
* Working knowledge with Infrastructure as a Code - Terraform
* 3 years experience working on Kubernetes