Manager Software Engineering

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.

Manager, Software Engineering – Cloud/AI Native Applications (GCP)

Sabre is the global leader in innovative technology that powers the travel industry.

We build large-scale, mission-critical platforms and applications used by leading airlines across the globe.

We are looking for engineering leaders who can scale teams, align technology with business goals, and drive delivery excellence in a cloud-native environment.

The Data Intelligence Team is building class leading AI/ML solutions to Airline Customers, that are cloud-native applications on Google Cloud Platform (GCP).

We are seeking a Manager, Software Engineering to lead multiple engineering disciplines, including application development, AI product building, platform engineering, systems engineering, quality engineering, and database engineering.

This role requires a strong blend of strong hands on technical depth, people leadership, stakeholder management and communication excellence.

The successful candidate will create an environment where teams thrive, technology evolves sustainably, and business outcomes are consistently delivered.

• Lead and manage cross-functional engineering teams (application, platform, systems, quality, and database engineers).
• Has strong AI native engineering skills and experience to train and lead the teams
• Own end-to-end delivery of engineering initiatives, ensuring predictable execution and high quality.
• Balance speed, quality, reliability, and cost across cloud-native platforms and applications.
• Ensure engineering work aligns with product strategy, architectural direction, and business priorities.

• Directly manage and develop senior and lead engineers across multiple disciplines.
• Foster a culture of accountability, collaboration, and continuous improvement.
• Provide coaching, feedback, performance management, and career development guidance.
• Support hiring, onboarding, and team scaling efforts.
• Promote diversity, inclusion, and psychological safety within teams.

• Act as a primary engineering point of contact for Product Management, Architecture, SRE, Security, and Business stakeholders.
• Translate business goals into clear engineering plans and execution strategies.
• Communicate effectively with technical and non-technical audiences, including leadership updates and risk discussions.
• Proactively manage expectations, dependencies, and cross-team coordination.

• Provide technical leadership and guidance without micromanaging implementation.
• Ensure strong engineering practices across:
• Cloud-native application development
• Good experience in AI Product building
• Strong knowledge and experience in AI native SDLC
• Platform and systems engineering
• CI/CD and automation
• Quality engineering and testing
• Database and data platform operations
• Drive architecture reviews, technical decision forums, and standards adoption.
• Ensure systems meet expectations for security, scalability, reliability, and compliance.

• Own operational readiness, including incident response, root cause analysis, and remediation tracking.
• Partner with teams to reduce technical debt and operational toil.
• Ensure documentation, runbooks, and operational processes are in place.
• Drive cost-aware engineering and cloud spend accountability.

• Proven experience leading multi-disciplinary engineering teams (application, platform, systems, quality, data).
• Strong people management skills, including coaching, performance management, career development, and hiring.
• Excellent written and verbal communication skills, with the ability to influence and align diverse stakeholders.

• Strong experience managing product, architecture, and business stakeholders.
• Ability to translate business objectives into clear engineering execution plans.
• Experience delivering complex, cloud-based systems using Agile methodologies.
• Strong ownership mindset with accountability for outcomes, not just execution.

• Strong hands-on experience designing and building enterprise-grade applications using Java programming stack.
• Strong experience in AI embedded application stack and modern AI technologies.
• Proven experience building microservices-based architectures, including RESTful APIs, grpc and distributed systems.
• Hands-on experience working with SQL and NoSQL databases, including data modelling and integration.
• Solid understanding of cloud-native application design, scalability, resiliency, and fault tolerance.
• Experience with CI/CD pipelines, automation, and modern DevOps practices.
• Familiarity with Google Cloud Platform (GCP) or equivalent public cloud environments.
• Ability to engage deeply in technical discussions, review designs, and make informed architectural trade-offs.

• Bachelor’s Degree in Computer Science or related field.
• 10+ years of total industry experience in software engineering or related technical roles.
• 3–4+ years of experience in an engineering leadership role (Engineering Manager, Technical Manager, Team Lead or equivalent).
• Experience leading cloud-native, AI native, production-scale systems.

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.