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Senior DevOps and Cloud Engineer

United States, Scottsdale · Job Posted June 15, 2026
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Job Description

We are seeking a highly motivated and self-sufficient Senior DevOps / Cloud Engineer with deep expertise in AWS, and working experience with Azure and Google Cloud Platform (GCP). This role demands strong technical acumen in cloud infrastructure, DevOps practices, automation, and security. The ideal candidate is an individual contributor who can operate with minimal supervision, take ownership of tasks end-to-end, and deliver scalable, secure cloud solutions that meet business objectives.

Job Responsibility

  • Independently design, implement, and manage cloud infrastructure across AWS and GCP (Azure knowledge is a plus)
  • Build, configure, and maintain secure, scalable cloud resources with minimal external support
  • Set up and manage VPCs, IAM, security groups, and access control
  • Lead and execute migration of applications and workloads to the cloud
  • Establish disaster recovery processes, automate cloud management tasks, and maintain best practices
  • Monitor usage and apply tagging strategies for cost control and visibility
  • Use AWS tools (CloudFormation, CloudWatch, Migration Hub, DMS, AWS Transfer for SFTP) for deployments and monitoring
  • Design and manage CI/CD pipelines with Jenkins, GitLab CI, or AWS DevOps
  • Ensure compliance with security policies and industry standards
  • Implement log aggregation and performance monitoring for cloud environments
  • Handle certificate management, network security, and ACLs independently
  • Automate infrastructure provisioning and configuration using Ansible, Chef, or Puppet
  • Write automation scripts using AWS CLI, Shell, YAML, or equivalent
  • Administer Linux/Windows systems in a cloud or hybrid environment
  • Design and deploy containerized apps using Docker, Kubernetes, ECS, or Fargate
  • Collaborate with cross-functional teams while taking initiative and ownership of DevOps deliverables

Requirements

  • 5+ years of hands-on experience with AWS
  • experience with GCP and/or Azure is advantageous
  • Proven ability to work as a self-driven individual contributor with minimal dependency on others
  • Proficiency with cloud infrastructure setup, CI/CD processes, and DevOps toolchains
  • Strong scripting skills (Shell, YAML, Python, etc.)
  • Solid understanding of both Linux and Windows system environments
  • Experience with containerization, orchestration, and cloud automation tools
  • AWS certification (e.g., Solutions Architect, DevOps Engineer) is strongly preferred
  • Familiarity with AI/GenAI technologies, MLOps concepts, or AI-powered cloud solutions is highly desirable
  • Excellent problem-solving, analytical, and communication skills

Nice to have

Familiarity with AI/GenAI technologies, MLOps concepts, or AI-powered cloud solutions is highly desirable

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