logo[мetahunt]
> Djinni
senior

DevOps Engineer

azure devopsterraformbashpythonazurepowershellaksaws eksany one ofaksnetworking
awsazure ai foundryaws bedrock
> full 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 Azure and other clouds, writing clean Terraform, Python, and Bash code to streamline deployments, enhance system reliability, and automate day-to-day operations.

 

Requirements

Must have:

  • Azure DevOps: strong working knowledge of ADO in an enterprise setting (pipelines, branching, PRs, projects, Terraform module development)
  • Scripting: Terraform, Bash, Python, Azure/AWS CLI, PowerShell, YAML
  • Azure advanced deployment and administration of PaaS and IaaS services
  • Basic networking skills
  • Containerization: EKS and/or AKS
  • Design and architecture experience in a large enterprise environment

Nice to have:

  • AWS Landing Zone Accelerator
  • Backstage.io
  • AI Foundry and/or AWS Bedrock

Job responsibilities

Design, build, and maintain scalable, highly available PaaS and IaaS infrastructure across Azure and other cloud 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.

Manage, secure, and scale enterprise Kubernetes clusters across AKS nvironments.

Deploy, configure, and operate cloud AI services using Azure AI Foundry 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.

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