Senior Cloud Infrastructure Architect (Remote)

• Job Title: Senior Cloud Infrastructure Architect (Remote) • Work Mode: Fully Remote • Schedule: Flexible (up to 40 hours per week, based on project availability) Role Overview: We are looking for Senior DevOps Engineers to join a paid remote AI training program focused on Infrastructure as Code (IaC). In this role, you will write realistic engineering-ticket-style prompts, configure LocalStack sandboxes, and build golden solutions with passing end-to-end tests to help AI models master Terraform, AWS CDK, and CloudFormation. This is a flexible, remote opportunity well-suited for senior-level DevOps, Cloud, or Infrastructure engineers seeking project-based, asynchronous work. Key Responsibilities • Task Creation: Write natural language prompts that read like real engineering tickets, including realistic ambiguity and professional context, so AI can handle real-world scenarios. • Environment Configuration: Set up and configure LocalStack sandboxes (local AWS mocks) to validate infrastructure tasks • Golden Solution Development: Craft the initial infrastructure state and a "golden solution" that includes passing automated end-to-end tests • Quality Benchmarking: Ensure tasks meet a high quality bar; simple or poorly formatted tasks will be rejected. • Response Evaluation: Choose the correct response between two AI-generated answers to a given infrastructure question • Prompt Writing: Draft simple prompts that act as a starting point for AI models to build upon Qualifications • Seniority: Must be a Senior-level practitioner in DevOps, Cloud, or Infrastructure Engineering • IaC Platform Expertise: Professional, hands-on experience with at least one of the following — High Priority: AWS CDK, Terraform (HCL), or CloudFormation; Medium/Low Priority: Pulumi, AzureRM, Ansible, Chef, or Puppet • Programming Languages: Strong proficiency in at least one of the following for infrastructure scripting and testing: TypeScript, Python, JavaScript, or Java • Communication: Ability to articulate complex technical concepts fluently in written English, following strict style guidelines Eligibility Requirements • Candidates must be legally authorised to work in one of the following locations: Argentina, Australia, Austria, Belgium, Brazil, Canada, Colombia, Denmark, Finland, France, Germany, India, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Peru, Puerto Rico, Singapore, Spain, Sweden, Switzerland, United Arab Emirates, United Kingdom, United States Compensation • Earn up to $50 USD/hr — plus additional incentives; rates vary based on expertise and project requirements • Paid via PayPal and AirTM Work Arrangement • Fully remote; choose your own schedule • Flexible workload depending on project availability, most experts spend 5–10 hrs/week, up to 40 hours • Free access to leading AI tools (GPT, Claude, and more) worth over $200/month included at no extra cost Equal Opportunity Statement Selection decisions are based solely on skills, qualifications, and project requirements. We are committed to inclusive and fair engagement practices and consider all qualified applicants without regard to legally protected characteristics. Ready to put your infrastructure expertise to work on AI? Apply now — interviews begin within days of application. Show more Show less

Senior-level practitioner in DevOps, Cloud, or Infrastructure Engineering; professional, hands-on experience with at least one IaC platform: AWS CDK, Terraform (HCL), or CloudFormation; programming proficiency in TypeScript, Python, JavaScript, or Java; strong written English communication following strict style guidelines.

Task Creation: Write natural language prompts that read like real engineering tickets, including realistic ambiguity and professional context, so AI can handle real-world scenarios. Environment Configuration: Set up and configure LocalStack sandboxes (local AWS mocks) to validate infrastructure tasks. Golden Solution Development: Craft the initial infrastructure state and a 'golden solution' that includes passing automated end-to-end tests. Quality Benchmarking: Ensure tasks meet a high quality bar; simple or poorly formatted tasks will be rejected. Response Evaluation: Choose the correct response between two AI-generated answers to a given infrastructure question. Prompt Writing: Draft simple prompts that act as a starting point for AI models to build upon.