Senior AWS Cloud Engineer (Remote)
- Job Title: Senior AWS Cloud Engineer (Remote)
- Work Mode: Fully Remote
- Schedule: Flexible (up to 40 hours per week, based on project availability)
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
- 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
- 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
- Earn up to $50 USD/hr — plus additional incentives; rates vary based on expertise and project requirements
- Paid via PayPal and AirTM
- 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
Ready to put your infrastructure expertise to work on AI? Apply now — interviews begin within days of application.