Senior DevOps Engineer (AWS+Azure)

GlobalLogic

AWSAzure

Location
Remote
Employment
Full-time
Level
Specialist
Category
DevOps & SRE
Posted

Description

Description

Join a global, cross-functional team building an enterprise insurance product with integrated e-billing functionality.

We are looking for an experienced Cloud Engineer to scale and secure our infrastructure. You will drive cloud automation across AWS and Azure, writing clean Terraform, Python, and Bash code to streamline deployments, enhance system reliability, and automate day-to-day operations.

Requirements

Must have:

Azure and AWS — advanced deployment and administration of PaaS and IaaS services

Scripting — Terraform, Bash, Python, Azure/AWS CLI, PowerShell, YAML

Design and architecture experience in a large enterprise environment

Nice to have:

AWS Landing Zone Accelerator

Containerization – EKS andor AKS

Backstage.io

AI – AI Foundry andor AWS Bedrock

Job responsibilities

Design, build, and maintain scalable, highly available PaaS and IaaS infrastructure across Azure and AWS environments in alignment with enterprise architectural standards.

Architect and maintain enterprise Azure DevOps (ADO) environments, including pipeline optimization, branching strategies, PR governance, and custom Terraform module development.

Develop, test, and deploy modular IaC configurations using Terraform, PowerShell, Bash, Python, and cloud CLIs to enforce multi-region consistency.

Integrate and support Backstage.io to streamline developer workflows, track software cataloging, and promote developer self-service.

Manage, secure, and scale enterprise Kubernetes clusters across AKS and/or EKS environments.

Deploy, configure, and operate cloud AI services using Azure AI Foundry and/or AWS Bedrock to support enterprise LLM integrations and GenAI workloads.

Manage core networking components, including VPC/VNet peering, subnets, routing, firewalls, load balancers, and hybrid connectivity solutions.

Support multi-account enterprise governance framework implementations (e.g., using AWS Landing Zone Accelerator).

Establish monitoring, observability, and automated remediation patterns across hybrid cloud assets.

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