Senior Site Reliability Engineer (SRE)
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Key skills for this role
About the Role
Hire Feed is looking for Senior DevOps Engineers to join a paid remote AI training program focused on Infrastructure as Code. Participants write engineering-ticket-style prompts, configure LocalStack sandboxes, and build golden solutions to help AI models master Terraform, AWS CDK, and CloudFormation.
Key Skills for This Role
Responsibilities
- Write natural language prompts that read like real engineering tickets, including realistic ambiguity and professional context
- Set up and configure LocalStack sandboxes (local AWS mocks) to validate infrastructure tasks
- Craft the initial infrastructure state and a 'golden solution' that includes passing automated end to end tests
- Ensure tasks meet a high quality bar; simple or poorly formatted tasks will be rejected
- Choose the correct response between two AI generated answers to a given infrastructure question
- Draft simple prompts that act as a starting point for AI models to build upon
Requirements
- Must be a Senior level practitioner in DevOps, Cloud, or Infrastructure Engineering
- Professional, hands on experience with at least one of: AWS CDK, Terraform (HCL), or CloudFormation
- Strong proficiency in at least one of: TypeScript, Python, JavaScript, or Java for infrastructure scripting and testing
- 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 listed locations
Full Job Posting
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
- Write natural language prompts that read like real engineering tickets, including realistic ambiguity and professional context, so AI can handle real world scenarios.
- Set up and configure LocalStack sandboxes (local AWS mocks) to validate infrastructure tasks
- Craft the initial infrastructure state and a 'golden solution' that includes passing automated end to end tests
- Ensure tasks meet a high quality bar; simple or poorly formatted tasks will be rejected.
- Choose the correct response between two AI generated answers to a given infrastructure question
- Draft simple prompts that act as a starting point for AI models to build upon
Qualifications
- Must be a Senior level practitioner in DevOps, Cloud, or Infrastructure Engineering
- 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
- Strong proficiency in at least one of the following for infrastructure scripting and testing: TypeScript, Python, JavaScript, or Java
- 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, Spai
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
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