Cloud Engineer

Suzega

United States

Remote

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Suzega seeks a senior Cloud Engineer to design and operate scalable, secure cloud foundations across AWS, Azure, and Google Cloud. You will implement infrastructure-as-code, automate deployments, and build resilient multi-cloud environments in collaboration with application teams.

You will monitor, optimize, and secure systems, mentor junior engineers, and drive FinOps practices to reduce cloud spend while advancing security and compliance across the stack.

Qualifications

  • Five+ years in cloud engineering and infrastructure management.
  • Expertise across at least two major cloud platforms (AWS, Azure, GCP).
  • Strong IaC and automation experience.

Responsibilities

  • Design and implement cloud infrastructure across AWS, Azure, and GCP.
  • Build highly available, secure environments meeting SLAs.
  • Develop IaC using Terraform, CloudFormation, ARM templates, or equivalents.
  • Implement CI/CD pipelines to automate deployment and config management.
  • Design multi-cloud networking (VPCs, VPNs, hybrid connectivity).
  • Set up monitoring, logging, and alerting with cloud-native and third-party tools.
  • Apply security best practices for identity, encryption and compliance.
  • Optimize cloud spend through right-sizing and FinOps practices.
  • Automate operational tasks with Python, Bash, or PowerShell.
  • Lead incident response and mentor junior engineers.

Skills

Cloud engineering
Infrastructure as code
SRE practices
Automation / scripting
Security best practices
Networking (VPCs, VPNs, DNS)

Tools

Terraform
Pulumi
CloudFormation
ARM templates
Docker
Kubernetes
Jenkins
GitHub Actions
Azure DevOps
CircleCI
Prometheus
Grafana
CloudWatch

Job description

Role overview

Build and operate dependable cloud environments across the major hyperscalers, with a focus on infrastructure-as-code, automation, and security. The role suits an engineer who enjoys designing scalable foundations while partnering closely with application teams.

Responsibilities
  • Design and implement cloud infrastructure solutions across AWS, Azure, and Google Cloud Platform.
  • Build and maintain highly available, scalable, and secure cloud environments that meet business SLAs.
  • Develop infrastructure-as-code using Terraform, CloudFormation, ARM templates, or comparable tools.
  • Implement and manage CI/CD pipelines that automate deployment and configuration management.
  • Design and optimize multi-cloud networking architectures including VPNs, VPCs, and hybrid connectivity.
  • Establish monitoring, logging, and alerting systems using cloud-native and third-party tools.
  • Apply security best practices covering identity management, encryption, and compliance controls.
  • Optimize cloud spend via resource right-sizing, architectural tuning, and FinOps-style practices.
  • Automate operational tasks through Python, Bash, or PowerShell scripting.
  • Lead incident response and troubleshooting for cloud infrastructure issues, and mentor junior engineers.
Requirements
  • Five or more years of experience in cloud engineering and infrastructure management.
  • Expert-level knowledge of at least two major cloud platforms across AWS, Azure, and GCP.
  • Strong experience with infrastructure-as-code tools such as Terraform, Pulumi, CloudFormation, or ARM templates.
  • Proficiency with containerization platforms including Docker, Kubernetes, ECS, AKS, and GKE.
  • Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or CircleCI.
  • Advanced scripting skills in Python, Bash, or PowerShell.
  • Deep understanding of networking concepts including TCP/IP, DNS, load balancing, firewalls, and VPN.
  • Familiarity with configuration management tools such as Ansible, Chef, Puppet, or Salt.
  • Knowledge of monitoring and observability platforms such as Prometheus, Grafana, CloudWatch, Datadog, or New Relic.
  • Solid grasp of security best practices and compliance frameworks including ISO 27001, SOC 2, and GDPR.
  • Familiarity with serverless architectures, microservices patterns, and SQL plus NoSQL database technologies.
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