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.
Role Summary
The Senior Engineer is hands-on technical expert responsible for designing and implementing data pipeline using dataflow and Beam, GenAI and Agentic AI solutions on Google Cloud Platform using Vertex AI and ADK frameworks. This role focuses on building production-grade systems, ensuring reliability, safety, and cost efficiency, and mentoring junior engineers while contributing to reusable patterns and best practices. The engineer should also develop data pipelines to load into lakehouse.
Key Responsibilities
Solution Design & Development
- Implement GenAI workflows: prompt engineering, RAG pipelines, embeddings, and evaluation.
- Build agentic AI components: planners, tools, memory management, and guardrails using ADK.
- Integrate GCP services: Vertex AI, BigQuery (including vector functions), Cloud Storage, Pub/Sub, Cloud Run, Workflows.
Delivery & Quality
- Write clean, maintainable code with proper documentation and testing.
- Ensure operational readiness: observability, logging, error handling, retries, and rollback mechanisms.
- Optimize performance and cost through caching, batching, and adaptive routing.
Collaboration & Mentorship
- Work closely with Team Lead and Principal Engineer to align on architecture and standards.
- Mentor junior engineers on prompt engineering, agent design, and GCP best practices.
- Participate in code reviews, design discussions, and knowledge-sharing sessions.
Governance & Compliance
- Implement security controls: IAM, VPC-SC, Secret Manager, and data residency requirements.
- Apply Responsible AI principles: safety prompts, content filters, and audit logging.
Required Technical Competencies
- GenAI: Prompt engineering, RAG, embeddings, fine-tuning, evaluation metrics.
- Agentic AI (ADK): Agent loops, tool integration, memory handling, planning strategies.
- GCP Services: Vertex AI, BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Workflows.
- LLMOps: CI/CD pipelines, model registry, telemetry, cost/performance dashboards.
- Security & Compliance: IAM, VPC-SC, DLP, Okta/IAP integration.
- Data pipeline: Dataflow, Apache Beam, Java.
Qualifications
- 5–8 years in software/data/ML engineering; 1–2 years in GenAI/agentic systems.
- Hands-on experience with GCP AI stack and ADK-based agent development.
- Strong coding skills in Python/TypeScript and familiarity with infrastructure-as-code.
- Hands-on experience on Java, Dataflow + Beam or Spark.
- Exposure to LLMOps practices and production deployments.
Outcomes & KPIs
- Delivery: Features shipped on time with minimal defects.
- Quality: Evaluation metrics (faithfulness, grounding) meet thresholds.
- Cost: Demonstrates cost optimization in design and implementation.
- Team Contribution: Active participation in reviews, documentation, and mentoring.
Demonstrated Behaviors (Senior Engineer Level)
Technical Execution
- Delivers high-quality, tested code aligned with architecture standards.
- Proactively identifies performance and reliability improvements.
Collaboration
- Works effectively with team members; shares knowledge openly.
- Communicates risks and blockers early; seeks help when needed.
Responsible AI
- Applies safety and compliance measures consistently.
- Raises concerns about ethical or security risks promptly.
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
- 5-8 years in software/data/ML engineering
- 1-2 years in GenAI/agentic systems
- Hands-on experience with GCP AI stack (Vertex AI, BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Workflows)
- Experience developing agentic systems using ADK
- Strong coding skills in Python and TypeScript
- Hands-on experience with Java and Dataflow + Apache Beam or Spark
- Experience with LLMOps: CI/CD pipelines, model registry, telemetry, cost/performance dashboards
- Familiarity with security and compliance controls: IAM, VPC-SC, Secret Manager, DLP, Okta/IAP integration
- Experience building data pipelines and loading into a lakehouse
- Experience with prompt engineering, RAG pipelines, embeddings, fine-tuning, and evaluation metrics
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.”
