MetroStar Logo

MetroStar

Cloud Engineer (5654)

Job Posted 7 Days Ago Posted 7 Days Ago
Remote
Mid level
Remote
Mid level
Design, deploy, and manage cloud infrastructures using IaC and CaC. Automate and optimize cloud environments while ensuring security and compliance.
The summary above was generated by AI

As Cloud Engineer, you’ll design, deploy, and manage cloud-based infrastructure using Infrastructure as Code (IaC) and Configuration as Code (CaC) best practices. The ideal candidate will have experience working with one or more cloud providers within a Government/DoD context (AWS, Azure, OCI, or GCP) and will play a key role in automating, optimizing, and securing cloud environments. This role requires strong problem-solving skills, a deep understanding of cloud architectures, and hands-on expertise in cloud automation tools.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

  • Design and implement cloud infrastructure solutions using Terraform, CloudFormation, or ARM templates.
  • Automate cloud configurations and deployments using Ansible, Chef, or Puppet.
  • Monitor cloud environments, troubleshoot issues, and optimize performance and cost efficiency.
  • Ensure security and compliance requirements are met across cloud deployments.
  • Develop and maintain CI/CD pipelines for automated cloud resource provisioning.
  • Collaborate with development and security teams to integrate cloud best practices into workflows.
  • Maintain up-to-date documentation of cloud configurations, processes, and best practices.

What you’ll need to succeed:

  • Active DoD Secret clearance.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 3-5 years of experience in cloud engineering, DevSecOps, or infrastructure automation.
  • Hands-on experience with at least one cloud provider (AWS, Azure, OCI, or GCP)
  • Strong proficiency in IaC tools such as Terraform, CloudFormation, or equivalent.
  • Experience with automation tools (Ansible, Chef, Puppet) and scripting languages (Python, Bash, PowerShell).
  • Knowledge of cloud networking, IAM, and security best practices.
  • Excellent troubleshooting and performance optimization skills.
  • Willingness to learn and collaborate in a fast-paced cloud environment.
  • Cloud certifications (AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals, OCI Foundations, or Google Cloud Associate)

Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

 What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

 Not ready to apply now? 

Sign up to join our newsletter here.

Top Skills

Ansible
Arm Templates
AWS
Azure
Bash
Chef
CloudFormation
GCP
Oci
Powershell
Puppet
Python
Terraform

Similar Jobs

35 Minutes Ago
Remote
United States
Mid level
Mid level
Enterprise Web • Fintech • Marketing Tech • Software
As a Software Engineer (AI), you'll build and enhance a core platform using AI, work on product features, and collaborate with customers in government contracting.
Top Skills: AIJavaScriptPythonRestful ApisTypescriptVueWebsocket
An Hour Ago
Easy Apply
Remote
Hybrid
2 Locations
Easy Apply
Senior level
Senior level
Cloud • Digital Media • News + Entertainment • On-Demand
Lead the development of Philo's billing system, optimizing payment processing and collaborating with various teams to improve user experience and system reliability.
Top Skills: AWSC++DockerGoKubernetesNode.jsPythonRuby
An Hour Ago
Easy Apply
Remote
Hybrid
3 Locations
Easy Apply
Mid level
Mid level
AdTech • Big Data • Information Technology • Marketing Tech • Sales • Software
As a Machine Learning Engineer at Bombora, you will build and deploy ML and NLP solutions, manage data pipelines, optimize models, and collaborate with cross-functional teams to enhance business impact.
Top Skills: DockerFastapiFlaskGCPGitHugging FacePythonPyTorchSQLTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account