Fullstack Software Engineer-ii

Booking Booking · Hospitality · Bangalore, India · Engineering

Full Stack Software Engineer II on the Fraud Engineering Team at Booking.com. This role involves designing, building, and operating end-to-end product features across the stack (front-end, back-end, data & integration) in a cross-functional team. Responsibilities include API/microservice development, UI development, backend service implementation in Java, database work, testing, CI/CD, production monitoring, incident response, and collaboration with product/design/data. The role requires experience with modern AI tooling for development acceleration, operating high-volume, low-latency services, and AWS cloud services. Experience in e-commerce, travel, payments, or fraud/risk domains is a plus.

What you'd actually do

  1. Design, build, and operate end‑to‑end product features across the stack (front‑end, back‑end, data & integration).
  2. Work in a cross‑functional team (product, design, data, other engineers) to solve real customer problems.
  3. Take ownership from design and implementation to production, monitoring and iteration.
  4. Contribute to engineering quality, reliability, and best practices within your team.
  5. Rapidly developing next-generation scalable, flexible, and high-performance services for the SS&F Department.

Skills

Required

  • Java
  • Spring Boot
  • React
  • HTTP APIs
  • microservices
  • data structures
  • algorithms
  • object-oriented design
  • relational databases
  • SQL
  • automated testing
  • CI/CD tools
  • Git
  • agile
  • cross-functional teams
  • communication skills
  • ownership
  • learning
  • continuous improvement
  • modern AI tooling
  • high-volume, low-latency services
  • AWS cloud services

Nice to have

  • high-traffic, distributed systems
  • performance tuning
  • Kubernetes
  • container orchestration
  • AWS
  • message queues
  • streaming
  • Kafka
  • event-driven architectures
  • A/B testing
  • experimentation platforms
  • design systems
  • component libraries
  • accessibility best practices
  • e-commerce
  • travel
  • payments
  • fraud/risk

What the JD emphasized

  • high-volume, low-latency services