Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world's largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.
We are seeking a Senior Software Systems Engineer to join our global Order Management team , where innovation knows no borders. This team delivers core transaction capabilities for the Sabre Smart Retailing Engine , powering personalized offers across the modern travel ecosystem. It engineers high-scale, low-latency and high-throughput systems that differentiate Sabre in the marketplace. With an inclusive culture and flexible work environment, we work together with boldness, curiosity and commitment so we can all win together.
As a Senior Software Systems Engineer, you will design, build and deploy mission-critical microservices in a cloud-native architecture. You will refactor complex codebases, advance system stability and champion engineering excellence through collaborative, sustainable ways of working. This role requires technical rigor, sound architectural judgment and practical experience applying modern engineering practices to deliver resilient distributed solutions.
What you'll do
- Design, build and deploy high-scale, low-latency microservices using Google Cloud Platform
- Translate user stories into robust, production-ready code with strong automated test coverage
- Refactor complex areas of the codebase to continuously improve maintainability and performance
- Develop and maintain clear software technical documentation to support engineering alignment
- Partner across Agile teams to address feedback, resolve technical blockers and deliver enhancements
- Identify and implement engineering solutions that improve application performance, resilience and stability
- Leverage AI-assisted development tools such as GitHub Copilot to accelerate implementation, testing and debugging
What you'll bring
Required qualifications
- At least 5 years of hands-on Java backend development experience, including recent production experience with Java 17 or later (familiarity with Java 21 is an advantage)
- Strong knowledge of the Java ecosystem, Spring Boot and designing and building microservices
- Solid understanding of distributed systems principles, including service boundaries, asynchronous messaging, consistency, failure handling, resilience and observability
- Comprehensive knowledge of the end-to-end software development lifecycle (SDLC), from requirements and system design through implementation, testing, code review, CI/CD, deployment and production support
- Hands-on experience with automated testing frameworks such as JUnit 5, Mockito and AssertJ
- Practical experience working in Agile or Lean software development teams
- Demonstrated experience using AI tools effectively for code exploration, implementation, testing, documentation and debugging, including experience introducing AI-assisted engineering practices or evaluating their delivery impact
- Excellent communication skills in both English and Polish
Preferred qualifications
- Domain knowledge in Order Management Systems (OMS) or airline and travel operations, including orders, PNRs, payments or booking servicing
- Experience with build and dependency management using Maven and Bazel in a monorepo setup
- Solid experience with relational databases and distributed or NoSQL data stores, with Google Cloud Spanner being especially relevant
- Experience designing event-driven systems using Google Cloud Pub/Sub
- Experience building and integrating APIs, particularly gRPC with Protocol Buffers and REST with JSON
- Experience with cloud deployments and containers, with Google Cloud Platform and Kubernetes/GKE preferred
- Experience with Terraform and cloud infrastructure
- Familiarity with application security standards, including OAuth 2.0/JWT and Okta integration, as well as Envoy and cloud-native load balancing concepts
Work arrangements
- Hybrid working mode; 3 chosen days from the office in a week
- Flexible working hours: Maintain your work-life balance by adjusting your working hours to your needs
- Paid time off
- Year-End-Break: enjoy additional fully paid days off during the last week of the year
- Paid parental leave: Take up to 12 weeks off with pay after birth or adoption of a child. Sabre Global Paid Parental Leave runs concurrently with local leave policies.
- Paid volunteer time: take up to 4 days annually to give your time to a charitable organization of your choice
Your money
- My Benefit platform/Multisport card: enjoy the benefit cafeteria system and use popular sport card
- Tax deduction: take the opp