Senior Software Engineer

Sabre · Bengaluru

  • Experience5–6 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted10 Sept 2026
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About Sabre

Sabre is hiring in Bengaluru in hospitality travel. This role looks for around 5+ years of experience.

Skills

  • Java
  • Spring Boot
  • Spring Cloud
  • microservices
  • REST APIs
  • SOAP
  • Web Services
  • Pub/Sub
  • Kafka
  • GCP
  • distributed systems
  • Docker
  • Kubernetes
  • CI/CD
  • Prometheus
  • Grafana
  • ELK
  • OpenTelemetry
  • system design
  • performance engineering

The role

A backend developer at a hospitality and travel product company builds Java microservices and Spring Boot services for distributed systems, and designs REST APIs and event-driven systems with GCP and Kafka. The work also covers Kubernetes and agentic AI.

Full job description

Senior Software Engineer (Spring Boot | Microservices | GCP | Agentic AI)

Key Responsibilities

Design & Engineering

Strong experience working with systems using Java, Spring Boot and microservices patterns.Design robust REST APIs and SOAP/Web Services, ensuring security, consistency, and governance.Should have worked with product using Pub/Sub, Kafka, or equivalent platforms.

Required Skills

5+ years of backend engineering experience.Deep expertise in Java, Spring Boot, Spring Cloud, and microservices design.Proven experience modernizing or decomposing monolithic applications.Strong cloud experience with GCP, cloud-native patterns, and distributed systems.Expertise in REST APIs, web services, and microservices governance.Strong understanding of Pub/Sub, Kafka, event-driven systems, and asynchronous design.Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and infra automation.Strong system design, performance engineering, and deep debugging skills.Familiarity with observability (Prometheus, Grafana, ELK, OpenTelemetry).Excellent communication, influence, and technical leadership.

Nice to Have

Airline Pricing Domain knowledgeAgentic AI experience: building or integrating LLM-based agents