Senior Software Development Engineer I

Travelport is hiring a Senior Software Development Engineer to build and operate AI-centered, cloud-native systems for flight search, pricing, and trip planning. The role focuses on scalable backend services, data pipelines, AI-facing platforms, and operational reliability.

Responsibilities:

• Design, build, and maintain backend services and data pipelines spanning streaming ingestion, batch and stream processing, and API layers
• Develop and evolve data models, schemas, and storage patterns that support a growing analytical data lake
• Build and maintain platforms that expose data, tools, and services to AI-driven applications and agents
• Operate, monitor, and troubleshoot workloads running on a Kubernetes-based cloud platform
• Develop and maintain CI/CD pipelines, ensuring reliable, automated build, test, deployment, and release processes
• Collaborate closely with data science, platform, and engineering teams to deliver scalable, production-ready solutions
• Implement automated testing, observability, and operational tooling, including metrics, logging, dashboards, and alerts
• Participate in code reviews, technical design discussions, architecture decisions, and agile planning activities
• Drive continuous improvements in system reliability, scalability, performance, and cost efficiency

Requirements:

• Proven experience in professional software development, including designing, building, and operating production-grade backend systems
• Strong proficiency in Java, Scala, and/or Python, with the ability to work effectively across multiple languages, frameworks, and runtime environments
• Experience building and operating distributed data processing solutions using technologies such as Apache Spark and Kafka
• Experience with cloud-native infrastructure and container orchestration platforms, including Kubernetes, Helm, and AWS
• Familiarity with Infrastructure-as-Code practices and tools such as Terraform and Terragrunt
• Solid understanding of CI/CD principles, automated testing, and software delivery best practices
• Understanding of observability practices, including monitoring, logging, metrics, and alerting for production systems
• Strong collaboration, communication, and problem-solving skills, with experience working in agile, code review-driven engineering environments
• Experience with modern data lake and lakehouse technologies (e.g., Apache Iceberg, Nessie, or similar catalog systems)
• Experience managing schema evolution and data governance within analytical data platforms
• Experience building or integrating AI-facing interfaces and agentic AI solutions (e.g., MCP, RAG, Spring AI, LangChain, LangGraph, LLM function calling)
• Experience with AI/ML lifecycle management and MLOps practices
• Experience mentoring engineers and leading technical initiatives