Full Job Description
We are looking for a Software Engineer - AI Test Automation to join the team developing AiroQ, an AI-powered platform designed to automatically generate executable test cases for airline distribution APIs.
AiroQ generates test scenarios for IATA NDC APIs, producing tests that can be executed through SoapUI and integrated into modern engineering and QA workflows. The platform can be accessed through AI development assistants such as Claude Code, Kiro, and Windsurf using the Model Context Protocol (MCP), as well as through REST APIs.
The ideal candidate is a strong TypeScript/Node.js engineer with experience building APIs and cloud-native applications on AWS. Experience with API testing, XML/SOAP, AI-assisted development, or airline/NDC technology is highly desirable.
Key Responsibilities
* Design, develop, and maintain backend services for the AiroQ platform using TypeScript and Node.js.
* Build and maintain MCP servers and REST APIs used by AI assistants and external applications.
* Develop capabilities that automatically generate executable API test cases and test data.
* Implement API contracts, schemas, and runtime validation using OpenAPI and Zod.
* Build integrations with AI development tools and assistants through the Model Context Protocol (MCP).
* Develop and maintain support for IATA NDC 17.2 and 24.1 API workflows.
* Generate and validate XML/SOAP requests and responses for NDC testing.
* Develop automated validations using XPath, Groovy, and SoapUI.
* Design and maintain AWS-based services using Amazon Bedrock AgentCore, ECS Fargate, Lambda, API Gateway, DynamoDB, S3, Cognito, and CloudWatch.
* Implement secure authentication and authorization using OAuth 2.0, JWT, and Amazon Cognito.
* Develop and maintain infrastructure as code using AWS CloudFormation.
* Implement logging, monitoring, error handling, and observability for production services.
* Collaborate with QA engineers, developers, architects, and product teams to translate business and API requirements into automated testing capabilities.
* Contribute to engineering standards, code reviews, automated testing, CI/CD, documentation, and platform reliability.
Required Qualifications
* Strong software development experience with TypeScript and Node.js.
* Experience designing and implementing REST APIs.
* Strong understanding of API contracts, schemas, validation, and error handling.
* Experience developing cloud-native applications on AWS.
* Experience with services such as Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, Cognito, and CloudWatch.
* Understanding of OAuth 2.0, JWT, and API authentication/authorization.
* Experience working with structured data formats including XML and JSON.
* Strong understanding of automated testing and software quality practices.
* Experience with Git-based development workflows, code reviews, and CI/CD.
* Ability to troubleshoot distributed applications and independently analyze complex technical problems.
Preferred Qualifications
* Experience with Model Context Protocol (MCP) and AI-assisted development tools.
* Experience building applications or tools using LLMs or generative AI.
* Experience with Amazon Bedrock or Bedrock AgentCore.
* Knowledge of IATA NDC, particularly versions 17.2 and 24.1.
* Experience with airline shopping, pricing, booking, servicing, or order-management APIs.
* Experience with SOAP, XML Schema/XSD, XPath, and SoapUI.
* Experience writing Groovy scripts for SoapUI automation and validation.
* Experience building test-generation frameworks or API testing platforms.
* Experience with Zod and OpenAPI.
* Experience with Infrastructure as Code, particularly AWS CloudFormation.
Technical Stack
Backend: TypeScript, Node.js, MCP, REST, OpenAPI, Zod
AI / Agent Integration: Model Context Protocol (MCP), Amazon Bedrock AgentCore, AI coding assistants
NDC & Testing: IATA NDC 17.2 / 24.1, XML, SOAP, SoapUI, XPath, Groovy
AWS: ECS Fargate, Lambda, API Gateway, Cognito, DynamoDB, S3, CloudWatch, Bedrock AgentCore
Infrastructure: AWS CloudFormation
What Success Looks Like
The engineer in this role will help evolve AiroQ into a scalable AI-powered testing platform that enables engineering and QA teams to generate reliable NDC API test cases quickly, execute them through existing testing workflows, and increasingly incorporate automated testing into the software development lifecycle.
Success will be measured by the quality and reliability of generated tests, expansion of NDC workflow coverage, platform stability and scalability, and adoption of AiroQ across engineering and QA teams.
What do we offer?
• Open culture and challenging opportunity to satisfy intellectual needs • Flexible working hours
• Smart working: hybrid remote/office working environment • Work-life balance • Excellent, dynamic and multicultural environment
