The Role
Leads the architecture, design, development, and testing of high-performance payment software in globally distributed environments. Provides technical guidance, mentors engineers, defines engineering standards and roadmaps, translates business requirements into technical solutions, and drives microservices, API, cloud, security, compliance, reliability, and data privacy practices. Diagnoses production issues, oversees design consistency, evaluates emerging technologies, and collaborates with global product, systems, business, and customer teams.
Summary Generated by Built In
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 SummaryThe Principal Software Engineer is a highly technical, hands-on engineering leader responsible for defining architecture, solving complex engineering problems, and raising technical standards across teams. The role establishes AI as a foundational engineering capability across the Software Development Lifecycle (SDLC), using approved AI coding assistants, engineering copilots, autonomous agents, and modern developer platforms to improve delivery speed, software quality, developer experience, and operational outcomes while maintaining security, reliability, compliance, and intellectual property safeguards.The ideal candidate combines deep software engineering expertise with strong architectural judgment, broad organizational influence, and an AI-first mindset. They remain close to code and implementation, lead through technical decisions and reusable patterns, mentor senior engineers and technical leads, and convert business and customer needs into scalable, secure, resilient, and maintainable solutions.Key ResponsibilitiesAI-First Engineering Transformation· Champion AI-first engineering practices across requirements analysis, architecture, design, coding, code review, testing, documentation, deployment, operations, incident response, and support.· Identify and implement opportunities to automate repetitive engineering, testing, documentation, troubleshooting, and operational work using approved AI capabilities.· Lead technical adoption of AI-assisted development platforms, engineering copilots, autonomous agents, and AI-enabled developer workflows.· Create reusable prompts, agent patterns, implementation of blueprints, reference solutions, and playbooks that enable effective and consistent AI adoption across teams.· Use measurable engineering outcomes to evaluate AI adoption, including cycle time, throughput, deployment frequency, defect trends, automation coverage, maintainability, and developer effectiveness.Architecture and Technical Leadership· Develop comprehensive software designs, system architecture diagrams, engineering specifications, decision records, and implementation roadmaps aligned with business, customer, product, and stakeholder objectives.· Design and implement new components and subsystems, and review or modernize existing architectures when required.· Provide hands-on leadership through architecture reviews, design reviews, code reviews, technology evaluations, prototypes, and critical implementation work.· Guide teams in the appropriate use of Generative AI services, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, Model Context Protocol (MCP) servers, and emerging AI technologies.· Ensure solutions meet enterprise expectations for scalability, performance, availability, fault tolerance, maintainability, observability, extensibility, data privacy, and security.· Define consistent product and system patterns that improve quality, integration, reuse, and cross-team collaboration.AI Governance, Quality and Responsible Engineering· Establish practical engineering standards and validation controls for AI-generated code, tests, designs, documentation, and operational artifacts.· Ensure AI-assisted solutions comply with enterprise governance, security, privacy, risk management, licensing, intellectual property, and regulatory requirements.· Require human accountability for critical technical decisions and validate AI-generated output through code review, automated testing, security scanning, performance testing, and production readiness checks.· Balance rapid experimentation and innovation with engineering discipline, architectural integrity, operational reliability, and responsible AI practices.Engineering Excellence and Delivery· Drive technical execution of complex, high-impact initiatives across multiple teams and geographies, managing technical risks, dependencies, and integration concerns.· Improve SDLC effectiveness through automation, CI/CD, test engineering, observability, secure development practices, and AI-enabled workflows.· Own non-functional requirements and ensure software is production-ready, well-instrumented, compliant, secure, and designed for always-on, high-transaction distributed environments.· Diagnose complex system failures and production issues; lead root cause analysis, remediation, reliability improvements, and technical debt reduction.· Partner with Product, Architecture, Security, SRE, Platform, Quality Engineering, and business stakeholders to translate functional and non-functional needs into implementable technical solutions.Technical Mentoring and Organizational Influence· Mentor senior engineers, technical leads, and developers in architecture, design principles, design patterns, coding practices, testing, production engineering, and AI-assisted development.· Raise engineering capability through technical forums, design walkthroughs, workshops, communities of practice, and documented engineering standards.· Influence technology choices and engineering direction across teams without relying on direct authority.· Build AI proficiency through coaching on prompt engineering, context engineering, AI-assisted design, AI-powered testing, AI-driven troubleshooting, and effective use of autonomous agents.· Communicate complex technical concepts, options, risks, and recommendations clearly to technical and non-technical audiences.Innovation and Continuous Improvement· Evaluate emerging technologies and lead Proofs of Concept (PoCs), pilots, and adoption plans based on measurable engineering and business value.· Continuously improve developer experience, engineering tooling, architecture practices, and delivery workflows.· Contribute to enterprise engineering strategy and promote learning, experimentation, knowledge sharing, and evidence-based technical decision-making.Required Qualifications· Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.· 10+ years of professional software engineering experience delivering enterprise-scale solutions, including significant hands-on development and architecture responsibility.· Proven experience providing technical leadership across distributed Agile engineering teams and complex cross-functional initiatives.· Demonstrated success designing and delivering cloud-native, high-volume, fault-tolerant, and globally distributed systems.· Strong hands-on programming experience in Java and related enterprise technologies, including Spring, Spring Boot, J2EE, object-oriented analysis and design, and modern engineering practices.· Deep knowledge of microservices, APIs, event-driven architecture, distributed systems, enterprise integration, REST, messaging, relational and NoSQL databases, and application containerization.· Practical cloud engineering experience; Google Cloud Platform experience is preferred.· Strong knowledge of CI/CD, automated testing, Test-Driven Development, DevSecOps, observability, system monitoring, JVM diagnostics and tuning, networking, and production troubleshooting.· Experience with SaaS, PaaS, IaaS, cloud migration strategies, scripting using Python or Bash, and modern build and deployment tooling.· Strong analytical, system-thinking, problem-solving, communication, and stakeholder-influence skills.· Hands-on experience with AI-assisted software development platforms such as GitHub Copilot, Microsoft Copilot, Cursor, Claude Code, or equivalent technologies.· Strong understanding of Generative AI, LLMs, RAG architectures, agentic workflows, MCP servers, prompt engineering, context engineering, and AI governance.· Experience evaluating, integrating, and scaling AI capabilities within enterprise engineering environments.· Ability to define and apply standards for secure, responsible, and high-quality AI-assisted software development.· Demonstrated ability to connect AI adoption to measurable improvements in engineering productivity, software quality, or developer experience.· Experience in the travel technology, payments, or other high-transaction regulated domains will be a plus.· Experience building AI-enabled developer platforms, internal engineering tools, intelligent automation, or production-grade AI applications.· Experience leading architecture modernization, cloud migration, platform engineering, or operational excellence initiatives.· Demonstrated contribution to technical communities, architecture forums, engineering standards, patents, publications, or open-source initiatives.
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.
#LI-Hybrid#LI-NG1Skills Required
- MS/MTech or BE/BTech degree in computer science or a related field
- 10+ years of professional Java development experience
- Experience engineering stable, fault-tolerant, high-performance, well-instrumented, compliant, always-on distributed systems
- Experience with design patterns, software engineering best practices, Agile SDLC, build and deployment tools, and CI/CD
- Strong understanding of non-functional requirements and software/application architecture
- Hands-on expertise with Java, J2EE, Spring, Spring Boot, RDBMS, NoSQL, and OOAD
- Experience with SOAP, REST, RESTful services, JSON-RPC, JMS, SOA/EDA, microservices, client-server, distributed systems, and enterprise integration
- Practical knowledge of cloud technologies and application containerization
- Experience with SaaS, PaaS, IaaS, and cloud migration strategy
- Understanding of web and application servers such as Tomcat
- Experience with integration frameworks, rule engines, JVM monitoring, diagnostics, and tuning
- Proficiency in Test-Driven Development, networking, system monitoring, and problem diagnostics
- Knowledge of command-line tools and scripting, including Bash or Python
- Understanding of HTML, JavaScript, jQuery, presentation technologies, distributed caching, and data engineering
- Excellent communication, analytical, problem-solving, mentoring, and cross-functional collaboration skills
- Knowledge of GCP
- Knowledge of the payment domain
- Hands-on experience with AI technologies and MCP servers
- Experience in the travel domain and payment solutions
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.
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The Company
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.”
