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.
Job Description
Role Summary
The Senior Software Engineer is a hands-on technical expert responsible for designing and developing production-grade applications and microservices using Java, Spring Boot, GCP, and Kubernetes, along with Generative AI and Agentic AI solutions using Python, Vertex AI, and ADK. The role involves building rapid AI prototypes and POCs, developing React-based conversational UIs and widgets, and taking solutions through the full lifecycle from design to production deployment. The engineer will focus on scalability, security, reliability, and cost efficiency, while contributing to reusable engineering patterns, best practices, and mentoring junior engineers.
Key Responsibilities
- Design and develop scalable applications using Java/JDK 17+, Spring Boot and microservices.
- Build REST APIs and integrate with enterprise systems, relational/NoSQL databases and external services.
- Develop modern web applications and conversational widgets using React and TypeScript/JavaScript.
- Apply sound software engineering principles, design patterns, automated testing and code quality practices.
- Develop GenAI and Agentic AI POCs using Python, Vertex AI, ADK and related frameworks.
- Build agentic workflows involving tool calling, planning, memory/context management and guardrails.
- Implement RAG, embeddings, vector search and prompt engineering solutions.
- Build integrations using Model Context Protocol (MCP) and other LLM tool/function-calling frameworks.
- Evaluate emerging AI technologies and transition successful POCs into production-grade solutions.
- Build and deploy cloud-native applications on Google Cloud Platform (GCP).
- Work with GKE/Kubernetes, Docker, Vertex AI, BigQuery, Cloud Storage, Pub/Sub and Secret Manager.
- Implement CI/CD, monitoring, logging, error handling and production observability.
- Optimize application and LLM workloads for performance, scalability and cost.
- Develop data pipelines using Dataflow, Apache Beam or Spark where required.
- Participate in architecture, design discussions and code reviews.
- Mentor junior engineers and contribute reusable engineering patterns and best practices.
- Ensure production readiness through testing, observability, resiliency and operational support.
- Apply security and Responsible AI practices including IAM, secrets management, data protection, guardrails and audit logging.
- Strong hands-on experience with Java/JDK 17+, Spring Boot and microservices.
- Strong understanding of OOP, data structures, design patterns and REST APIs.
- Experience with GCP, Docker and Kubernetes/GKE.
- Experience with relational and NoSQL databases.
- Hands-on experience with React and JavaScript/TypeScript.
- Working experience with Python, particularly for AI/GenAI development.
- Experience with Git, Maven/Gradle, CI/CD and automated testing.
- Experience with Vertex AI and Google ADK or comparable Agentic AI frameworks.
- Experience developing MCP servers/tools or ChatGPT integrations.
- Experience building conversational AI/chatbot applications and interactive widgets.
- Experience with BigQuery, Pub/Sub and event-driven architectures.
- Exposure to Terraform/Infrastructure-as-Code and LLMOps.
- Understanding of enterprise security including IAM, JWT/OAuth, Okta/IAP and Secret Manager.
- Bachelor's or Master's degree in Computer Science, Engineering or a related discipline.
- 5–8 years of software engineering experience, with strong enterprise application development experience.
- Exposure to building GenAI/Agentic AI solutions and taking POCs toward production.
- Deliver high-quality, scalable Java microservices and full-stack applications.
- Rapidly prototype and productionize GenAI and Agentic AI capabilities.
- Build reusable AI integrations, MCP tools and conversational UI components.
- Ensure solutions meet enterprise standards for security, reliability, observability and cost efficiency.
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.
Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline
- 5–8 years of software engineering experience
- Strong hands-on experience with Java or JDK 17+, Spring Boot, and microservices
- Strong understanding of object-oriented programming, data structures, design patterns, and REST APIs
- Experience with Google Cloud Platform, Docker, and Kubernetes or GKE
- Experience with relational and NoSQL databases
- Hands-on experience with React and JavaScript or TypeScript
- Working experience with Python for AI or Generative AI development
- Experience with Git, Maven or Gradle, CI/CD, and automated testing
- Experience with Vertex AI and Google ADK or comparable Agentic AI frameworks
- Experience developing MCP servers or tools or ChatGPT integrations
- Experience building conversational AI or chatbot applications and interactive widgets
- Experience with BigQuery, Pub/Sub, and event-driven architectures
- Exposure to Terraform or infrastructure as code and LLMOps
- Understanding of enterprise security, including IAM, JWT/OAuth, Okta/IAP, and Secret Manager
- Exposure to building Generative AI or Agentic AI solutions and taking proofs of concept toward production
Sabre Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sabre Corporation and has not been reviewed or approved by Sabre Corporation.
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Leave & Time Off Breadth — Time off is expansive, with five weeks of PTO from day one, eight paid holidays, floating holidays, and a companywide year‑end break. Paid volunteer time further broadens available leave.
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Parental & Family Support — Parental leave provides 12 weeks fully paid for birth or adoption, complemented by generous bereavement leave up to 15 paid days. Disability coverage and dependent eligibility to age 26 reinforce family support.
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Retirement Support — A 401(k) with a strong company match underpins long‑term savings. This foundation strengthens overall financial security alongside core benefits.
Sabre Corporation Insights
What We Do
We are a software and technology company that powers the global travel industry. With decades of revolutionary firsts, our team of experts drive innovation and ingenuity in the industry. Today, we are creating a new marketplace for personalized travel. We partner with airlines, hoteliers, agencies and other travel partners to retail, distribute and fulfill travel. We are committed to helping customers operate more efficiently, drive revenue and offer personalized traveler experiences with next-generation technology solutions. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Sabre's technology powers the nearly US$8 trillion travel industry. Our technology and data-driven solutions help our airline, hotel, travel agency and corporate customers grow their businesses and transform the traveler experience. The scale, breadth and depth of our technology is unmatched and sustains a complex industry. We provide an open and stable platform to deliver flexible, reliable and scalable solutions. Over the years, we have shaped and modernized the travel industry. We pioneered online travel agencies, corporate booking tools, revenue management, and web and mobile itinerary tools, to name a few. Our travel marketplace transacts more than US$120 billion of travel spend per year. And we are the world’s largest provider of airline and hotel technology. We have been named to the InformationWeek 500 list of the most innovative technology companies for 11 consecutive years. And InformationWeek named Sabre seventh on its list of the “Greatest Software Ever Written.”
