Educational Requirements

MCA,MSc,Bachelor of Engineering,BCA,BSc

Service Line

Data & Analytics Unit

Responsibilities

◦ Setup sensible permission defaults for seamless access management for cloud resources using services like aws iam, aws policy management, aws kms, kube rbac, etc. ◦ Understanding of best practices for security, access management, hybrid cloud, etc.

Additional Responsibilities:

◦ Knowledge of advance kube concepts and tools like service mesh, cluster mesh, karpenter, kustomize etc ◦ Templatise infra IAC creation with pulumi and terraform, using advanced techniques for modularisation. ◦ Extend existing helm charts for repetitive stuff and orchestration, and write terraform/pulumi creation. ◦ Use complicated manual infrastructure setup with Ansible, Chef, etc. ◦ Certifications: ▪ AWS Certified Advanced Networking - Specialty ▪ AWS Certified DevOps Engineer - Professional (DOP-C02)

Technical and Professional Requirements:

◦ should be able to write bash scripts for monitoring existing running infrastructure and report out. ◦ should be able to extend existing IAC code in pulumi typescript ◦ ability to debug and fix kubernetes deployment failures, network connectivity, ingress, volume issues etc with kubectl ◦ good knowledge of networking basics to debug basic networking and connectivity issues with tools like dig, bash, ping, curl, ssh etc ◦ knowledge for using monitoring tools like splunk, cloudwatch, kube dashboard and create dashboards and alerts when and where needed. ◦ knowledge of aws vpc, subnetting, alb/nlb, egress/ingress ◦ knowledge of doing disaster recovery from prepared backups for dynamodb, kube volume storage, keyspaces etc (AWS Backup, Amazon S3, Systems Manager

Preferred Skills:

Technology->Cloud Platform->Amazon Webservices DevOps->AWS DevOps