Cloud DevOps Engineer — AWS, Ansible & Automation

Optimus Technology, Inc.

Laurel (MD)

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Health, dental, vision package
401k company contributions
Life insurance
Tuition assistance
Disability insurance
Paid time off
Referral bonuses

Job summary

Optimus Technology, Inc. seeks a DevOps/Cloud Engineer to assess capabilities, plan migrations to cloud environments, and drive automated deployment using AWS, Ansible, Docker, and Terraform. You will work with system administrators to coordinate day-to-day cloud operations and ensure secure, scalable infrastructure.

Experience with automation tools and a focus on reliability will be essential as you contribute to architecture, testing, and deployment strategies in a modern cloud stack.

Qualifications

  • Experience with cloud platforms (AWS) and DevOps automation.
  • Familiarity with configuration management and CI/CD tooling.
  • Ability to design, deploy, and optimize cloud-based infrastructure.

Responsibilities

  • Assess existing capabilities and identify opportunities to expand DevOps adoption.
  • Plan, test, and deploy system security patches and upgrades.
  • Collaborate with System Administrators to support cloud conversion and operations.
  • Develop deployment plans to implement changes in cloud environments.
  • Integrate modified capabilities into cloud environments to optimize performance.

Skills

AWS
Ansible
Docker
Elasticsearch
Terraform
Jenkins
GitLab
Linux
Windows

Tools

Ansible
Docker
Terraform
Jenkins
GitLab

Job description

Optimus Technology, Inc. seeks a DevOps/Cloud Engineer to assess capabilities, plan migrations to cloud environments, and drive automated deployment using AWS, Ansible, Docker, and Terraform. You will work with system administrators to coordinate day-to-day cloud operations and ensure secure, scalable infrastructure.

Experience with automation tools and a focus on reliability will be essential as you contribute to architecture, testing, and deployment strategies in a modern cloud stack.

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