Senior Software Development Engineer I

• 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.

• 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.

Other Valuable Experience

• 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

Travel obsessed? Big tech fan? Hey, you’re in good company. If you want to be part of the industry that makes the world go round, then look no further.

Travelport is the brains behind lots of your travel bookings- plane, car or hotel. Our technology is used to book that magical holiday, infamous long-awaited bucket list trip or that overdue school reunion. While we can’t solve mosquito bites or lost luggage, we can simplify a lot of the technical parts of travel, and we’re looking for the best thinkers to help us do it.