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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Software Development Engineering - **Company:** Expedia Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $184,500.0 - $258,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Code Review, Distributed Systems, Apache Hadoop, Spring Framework, Machine Learning, MongoDB, Node.Js, Dropwizard, Scala (Programming Language), Software Engineering, Datadog, ReactJS, System Availability, Apache Spark, Kotlin, Apache Flink, Cassandra, Apache Kafka, Graphql, Api Design, Splunk, Api Management, Docker - **Published:** June 25, 2026 - **Apply:** https://www.dice.com/job-detail/66f7f6bc-7ae7-4c69-ade0-97bfbcb0b794 ## About the Role * Bachelor's Degree or Equivalent Level; Technical Degree Preferred. * 8+ years of relevant professional experience and 3+ years of people management experience. * Extensive professional experience in software development engineering, including prior experience leading engineers and/or engineering teams delivering production services or applications. * Proven track record owning the end-to-end lifecycle of one or more services or systems, from design and implementation through deployment, operation, and iterative improvement. * Strong technical proficiency in system design (LLD), API design, and data modeling, with hands-on experience building distributed, service-oriented, or cloud-based systems., * Experience leading multiple software engineering teams or a multi-service portfolio, setting technical direction and architectural strategy for complex, distributed systems operating at significant scale. * Demonstrated ability to define and evolve architecture for services and data models, including cross-service API contracts, integration patterns, and resiliency, observability, and security standards. * Strong track record of driving operational excellence, including incident management, root-cause analysis, reliability improvements, and continuous optimization of performance, cost, and scalability. * Safely integrates and operates AI/ML-enabled solutions that improve outcomes, including guiding teams on responsible use of AI-driven components, monitoring model impact, and ensuring alignment with product and customer needs. * Role-specific AI leadership experience such as directing teams that embed AI-assisted development, testing, or personalization capabilities into software products or platforms, and using data-driven experimentation to validate and scale these solutions. ## Description * Lead multiple software engineering teams to design, build, and operate reliable, scalable, and secure services and applications, ensuring high availability and performance for customer-facing and internal systems. * Define and drive technical direction, including system design (low-level design), API design, and data modeling standards, and ensure consistent adoption of these patterns across the teams and services you own. * Establish and evolve engineering practices for high-quality delivery, including code review standards, automated testing, CI/CD pipelines, observability, and incident response to meet or exceed operational SLAs. * Partner closely with Product, Architecture, and cross-functional stakeholders to align engineering roadmaps with business outcomes, prioritize work across domains, and deliver measurable value through iterative releases. * Recruit, develop, and mentor engineers and managers, creating an inclusive, high-performance culture with clear expectations around technical excellence, ownership, and continuous improvement. * Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, and ensure your teams can leverage these capabilities responsibly across multiple domains. * Technologies we use: Kotlin, Java, Scala, Flink, Dropwizard, Spring, Node.js, React, GraphQL, Docker, Kafka, Cassandra, MongoDB, Hadoop, Spark, DataDog, Splunk, AWS cloud ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Why Kotlin is the better Java and how you can start using it](https://www.wearedevelopers.com/videos/661-why-kotlin-is-the-better-java-and-how-you-can-start-using-it) - [Developer Experience in the Age of AI](https://www.wearedevelopers.com/videos/1118-developer-experience-in-the-age-of-ai) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe)