Summary: The Senior Engineer (DevOps, SRE, or Cloud) role is a fully remote position focused on a paid AI training program that emphasizes Infrastructure as Code (IaC). Candidates will engage in tasks such as writing engineering prompts, configuring LocalStack sandboxes, and developing solutions that pass automated tests. This opportunity is ideal for senior-level engineers looking for flexible, project-based work. The role requires strong technical expertise and the ability to communicate complex concepts effectively.
Key Responsibilities:
- Write natural language prompts that resemble real engineering tickets.
- Set up and configure LocalStack sandboxes to validate infrastructure tasks.
- Craft the initial infrastructure state and a "golden solution" with passing automated tests.
- Ensure tasks meet a high quality standard; poorly formatted tasks will be rejected.
- Evaluate responses by selecting the correct answer between two AI-generated options.
- Draft simple prompts for AI models to build upon.
Key Skills:
- Senior-level experience in DevOps, Cloud, or Infrastructure Engineering.
- Hands-on expertise with AWS CDK, Terraform (HCL), or CloudFormation.
- Proficiency in TypeScript, Python, JavaScript, or Java for infrastructure scripting.
- Strong written communication skills in English, adhering to style guidelines.
- Legal authorization to work in specified countries.
Salary (Rate): £40 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Job Title: Senior Engineer (DevOps, SRE, or Cloud) — 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.