Multi-Cloud DevOps Engineer

INFOLOB Global, Inc.
Irving, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Irving, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Cloud Engineering
Code Review
Continuous Integration
DevOps
Github
Monitoring of Systems
Identity and Access Management
Subnetting
Virtual Private Networks (VPN)
Python
Peering
Prometheus
Software Deployment
Datadog
Data Logging
Google Cloud Platform
Load Balancing
Grafana
Kubernetes Helm Charts
Multi-Cloud
Gitlab
Containerization
Kubernetes
Bicep
Cloudwatch
Terraform
Docker
Jenkins

Job description

You will work on provisioning and managing cloud infrastructure across AWS, Azure, and Google Cloud Platform, building CI/CD pipelines, managing containerized workloads, rehost/lift and shift VM and helping the team move toward greater automation and reliability.

This role is ideal for engineers who have solid cloud fundamentals and are ready to grow into broader multi-cloud responsibilities.

Cloud Infrastructure

Provision and manage cloud resources on AWS, Azure, and/or Google Cloud Platform

Build and maintain VPCs, subnets, security groups, IAM roles

Support multi-cloud networking: VPN, peering, load balancers

Assist in cloud cost monitoring and basic FinOps practices

Landing zone setup is the most critical early task get IAM, networking, and logging right before the workload lands

CI/CD & Automation

Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps

Write and manage infrastructure-as-code using Terraform or ARM/Bicep

Automate repetitive operational tasks using Python or Bash scripts

GIHUB/GITLAB

Containers & Kubernetes

Deploy and manage containerized applications using Docker and Kubernetes

Work with managed K8s services: EKS, AKS, or GKE

Write and maintain Helm charts for application deployment

Troubleshoot pod-level and cluster-level issues

Monitoring & Observability

Set up and maintain monitoring using Prometheus, Grafana, or Datadog

Configure alerts, dashboards, and log aggregation (ELK / CloudWatch / Azure Monitor)

Support on-call rotation and incident response

Document runbooks and escalation procedures

Collaboration & Growth

Work closely with development teams to support deployment workflows

Participate in code reviews for infrastructure and pipeline code

Contribute to internal documentation and knowledge sharing

Requirements

We are seeking a passionate and hands-on Multi-Cloud DevOps Engineer with 5 to 8 years of experience to join our cloud engineering team.

Apply for this position