Software Development Engineer II

Overview

Software Development Engineer II on Expedia Group's Clickstream team, designing, building and operating the real-time data platform that captures and processes user behavior across Expedia Group sites and apps.

What you'll do

• Design, build, and operate highly available, low-latency streaming services and data pipelines (primarily in Java/Kotlin) running in public/hybrid cloud environments.
• Write clean, efficient, well-tested code; practice pair programming and conduct thorough code reviews.
• Apply object-oriented design, distributed computing, performance/scalability tuning, and advanced data structures/algorithms to real-time streaming and data processing.
• Build and evolve microservices and data APIs that power analytics and personalized experiences.
• Implement robust testing, monitoring, alerting, and observability to ensure reliability and rapid incident response.
• Troubleshoot complex production issues, perform root-cause analysis, and drive long-term fixes and improvements.
• Collaborate with product managers, data engineers, analysts, and platform teams to deliver high-impact solutions.
• Contribute to technical design documents; communicate trade-offs and decisions clearly within the team.
• Stay current with advancements in cloud data platforms, streaming technologies, and best practices; mentor junior engineers.

What you'll need

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent professional experience.
• 2+ years of professional software development experience, including building and operating backend/microservices in Java.
• Hands-on experience with streaming platforms (e.g., Kafka, Kinesis, Pub/Sub) and event-driven architectures.
• Experience building production-grade data processing applications in public/hybrid cloud environments (e.g., AWS, GCP, Azure).
• Solid understanding of software engineering fundamentals: algorithms, data structures, concurrency, distributed systems, and design patterns.
• Proficiency in testing strategies (unit, integration), CI/CD, monitoring, alerting, and incident management.
• Familiarity with observability concepts and tools to monitor application health and performance.
• Strong debugging, problem-solving, communication, and collaboration skills; self-starter with a learning mindset.
• Familiarity with basic AI tools (e.g., GitHub Copilot, code assistants) to accelerate development or documentation, used responsibly within company policies.

Nice to have

• Kotlin or Scala experience.
• Experience with Kafka Streams (KStream) and/or Apache Flink for stateful stream processing.
• Familiarity with schema registry, data lake technologies, and data quality frameworks.