Senior Full Stack Software Engineer
WESTAY · Dubai, United Arab Emirates
Apply & track with Apply EdgePOSITION SUMMARYAt Westay, we are building a modern travel platform that enables customers to discover and book hotels and other premium travel experiences. We are looking for a Senior Full Stack Software Engineer with strong backend expertise to join our engineering team. This is a backend-focused role, with primary responsibility for designing and developing scalable backend services, APIs, integrations, and data-driven systems, while also being capable of contributing to our React/Next.js web applications when required. The ideal candidate will have strong hands-on experience with Node.js, TypeScript, microservices, PostgreSQL, Redis, and cloud-native development, along with practical experience using AI-assisted development tools and workflows to improve engineering productivity and quality. Key Responsibilities
- Design, develop, and maintain scalable backend services and microservices using Node.js, TypeScript, and NestJS or similar frameworks.
- Design and maintain reliable REST APIs and integrations with external suppliers, payment platforms, content systems, and other third-party services.
- Design and optimize PostgreSQL databases, including data modelling, indexing, query optimization, transactions, and performance.
- Implement effective caching and performance optimization using Redis.
- Build and maintain event-driven and asynchronous processing using Azure Service Bus or similar messaging technologies.
- Design reliable distributed systems considering scalability, idempotency, retries, failure handling, data consistency, and performance.
- Contribute to React/Next.js web applications when required, including frontend development, API integration, and end-to-end troubleshooting.
- Actively use AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, Codex, or equivalent tools for coding, debugging, testing, refactoring, code review, documentation, and engineering productivity.
- Identify opportunities to use AI, LLMs, automation, or AI agents to improve engineering workflows or build product capabilities.
- Ensure AI-generated code and solutions are properly reviewed, tested, secured, and validated before being incorporated into production systems.
- Write clean, maintainable, and testable code and maintain appropriate unit, integration, and API/contract tests.
- Apply secure development practices covering authentication, authorization, API security, data protection, and common web vulnerabilities.
- Participate actively in architecture discussions, system design, code reviews, technical decision-making, and mentoring.
- Work closely with frontend, QA, DevOps, and product teams on integration, CI/CD, production deployments, monitoring, and troubleshooting. Requirements
- 6+ years of professional software engineering experience, with strong experience building backend systems, APIs, and microservices.
- Strong hands-on expertise in Node.js and TypeScript, preferably with NestJS or similar frameworks.
- Strong understanding of microservices, distributed systems, REST APIs, and event driven architecture.
- Strong experience with PostgreSQL or similar relational databases, including database design and performance optimization.
- Hands-on experience with Redis and caching strategies.
- Good hands-on experience with React and Next.js, with the ability to contribute to frontend development when required.
- Experience with messaging technologies such as Azure Service Bus, Kafka, RabbitMQ, SQS, or equivalent.
- Experience with Git, Docker, CI/CD, and cloud platforms such as Azure or AWS.
- Practical experience using AI-assisted development tools as part of day-to-day software engineering.
- Ability to demonstrate how AI has been used to improve areas such as coding, debugging, testing, code quality, documentation, or overall development productivity.
- Strong debugging, problem-solving, communication, code-review, and mentoring skills. Preferred Qualifications
- Experience with Microsoft Azure and cloud-native architectures.
- Experience with Elasticsearch or similar search/indexing technologies.
- Experience with external supplier integrations, payment integrations, or high-volume transactional platforms.
- Experience in travel, hospitality or other integration-heavy platforms.
- Experience building or integrating AI-powered applications, LLM APIs, automation, RAG solutions, or AI agents is a strong advantage.
- Experience working in Agile, product-driven, or startup environments.