Sabre Corporation
Website:
sabre.com
Job details:
Job Description: Lead Software Engineer (Spring Boot | Microservices | AWS/GCP | REST API| Web services)
Role Overview
We are seeking an experienced Lead Software Engineer to design and build scalable, cloud-native platforms using Java, Spring Boot, Microservices, and AWS/GCP. In this role, you will lead engineering initiatives, mentor team members, drive architectural decisions, and deliver high‑quality, resilient services. Exposure to agentic AI frameworks will be a plus.
Key Responsibilities
- Lead end-to-end development of scalable Spring Boot microservices.
- Architect, modernize, and refactor monolithic applications into modular or microservices-based components.
- Design, implement, and optimize REST APIs and SOAP/Web Services.
- Deploy cloud-native applications on AWS or GCP.
- Build persistence layers using Hibernate/JPA, integrating with SQL and NoSQL databases.
- Implement messaging and event-driven integrations using Pub/Sub, Kafka, or similar platforms.
- Ensure application reliability, observability, and performance across distributed systems.
- Drive engineering excellence through code reviews, best practices, and mentoring.
- Collaborate closely with product, architects, DevOps, and cross-functional teams.
- Build and maintain CI/CD pipelines and automated deployment processes.
- Contribute to PoCs or feature development involving agentic AI, automated reasoning, or AI-assisted workflows (Nice to have)
Required Skills & Experience
- 8+ years of hands-on software engineering experience.
- Strong expertise with:
- Java (11/17+)
- Spring Boot, Spring Cloud, JPA/Hibernate
- Microservices architecture & distributed system patterns
- REST API design & implementation
- Proven experience deploying applications on AWS and/or GCP.
- Solid foundation in Docker, Kubernetes, and container orchestration.
- Experience with CI/CD (Jenkins, GitHub Actions etc.).
- Strong understanding of system performance, security, and design patterns.
- Excellent analytical, debugging, and problem‑solving skills.
- Experience with event-driven systems (Kafka, pub/sub).
- Familiarity with observability tools (Grafana, Prometheus, ELK, Splunk).
- Knowledge of Infrastructure-as-Code (Terraform, CloudFormation).
- Strong leadership, communication, and collaboration abilities.
Nice to Have
- Exposure to agentic AI frameworks, autonomous agents, RAG workflows, or LLM‑integrated systems.
Soft Skills
- Ability to lead and mentor engineering teams.
- Strong ownership mindset and proactive problem-solving.
- Comfortable driving clarity in ambiguous situations.
- Passion for innovation and continuous learning.
Click on Apply to know more.