Powering the agentic revolution in travel. Sabre is an AI-native technology leader backed by one of the worlds 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.
Sabre is the global leader in innovative technology that leads the travel industry. We are always looking for bright and driven people who have a passion for technology are builders at heart and want to solve complex large-scale problems. If you are interested in challenging work being part of a global team and shaping the future of cloud-native platforms through technology analytics and Agile practicesthen Sabre is right for you.
The Revenue Optimization Team is expanding as we modernize our platforms transition fully to the cloud and build next-generation highly scalable software solutions. We are seeking a Principal Software Engineer who brings deep technical expertise architectural vision and engineering leadership to drive cloud-native application development on Google Cloud Platform (GCP).
The successful candidate is a seasoned technologist who understands the full software lifecyclefrom architecture and design to development deployment and operationsand plays a key role in setting technical direction across teams and systems.
Responsibilities
Technical Leadership & Architecture
- Serve as a technical authority across multiple applications services and platforms.
- Define and drive cloud-native architecture standards and best practices aligned with GCP.
- Own end-to-end system design for complex distributed and high-scale solutions.
- Partner with Architects to influence long-term technical roadmaps and platform evolution.
- Proactively identify and eliminate systemic architectural risks and technical debt.
Engineering Excellence
- Lead modernization initiatives to transition legacy systems to cloud-native microservices-based architectures.
- Design develop and review high-quality production-grade code.
- Drive performance scalability reliability security and cost optimization across systems.
- Lead deep technical reviews for critical components and cross-team integrations.
- Take a hands-on role in prototyping and proof-of-concepts to validate architectural decisions.
Platform & Cloud Enablement
- Champion GCP-native services (GKE Cloud Run Pub/Sub BigQuery Cloud SQL Spanner etc.).
- Influence CI/CD infrastructure-as-code observability and reliability practices in partnership with platform teams.
- Guide teams on designing for resilience fault tolerance disaster recovery and multi-region deployments.
- Drive engineering decisions with a strong understanding of cloud cost optimization (FinOps).
Mentorship & Organizational Impact
- Mentor and guide Lead and Senior Engineers raising the technical bar across teams.
- Foster a culture of engineering rigor innovation and continuous improvement.
- Collaborate closely with Product Management to translate business strategy into scalable technical solutions.
- Influence engineering practices beyond immediate team boundaries.
Required Skills
Experience & Background
- 12 years of professional experience building enterprise-grade software systems.
- Proven experience operating at a Lead or Principal Engineer level in complex environments.
Core Technical Skills
- Strong hands-on experience designing and building applications using Java or another major programming language (e.g. Go Python C#).
- Deep expertise in microservices architecture RESTful APIs and distributed systems.
- Strong experience with SQL and NoSQL databases data modeling and data-intensive applications.
- Expertise in cloud-native design principles (stateless services scalability resiliency).
Cloud & DevOps
- Strong experience building and operating systems on Google Cloud Platform (GCP) (preferred) or equivalent public cloud.
- Proficiency with containers and orchestration (Docker Kubernetes GKE).
- Experience with CI/CD pipelines Git-based workflows and automation.
- Strong understanding of observability monitoring alerting and production operations.
Big Data & Performance
- Experience with Big Data and data engineering technologies (e.g. BigQuery Spark data pipelines).
- Proven ability to optimize system performance scalability and cloud cost efficiency.
Soft Skills
- Exceptional problem-solving and analytical skills.
- Ability to influence without authority and lead through technical credibility.
- Strong communication skills capable of articulating complex technical concepts to diverse audiences.
- Willingness to continuously learn adapt and innovate in fast-changing environments.
Qualifications
- Bachelors Degree in Computer Science or related field (required).
- Masters Degree in Computer Science or related field (preferred).
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.
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