Senior Manager, Software Development Engineering

Expedia Inc.
Seattle, WA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$184,500.0 - $295,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Fraud Prevention and Detection Python (Programming Language) NoSQL Systems Development Life Cycle Software Engineering SQL Databases Data Streaming
+9 more
Large Language Models Multi-Agent Systems Apache Spark Generative AI Apache Flink Apache Kafka Virtual Agents Api Design Microservices

Job description

  • Own your team’s platform architecture, design and delivery of solutions for automated risk decisioning and remediation.
  • Hold a high bar for technical operations, establish clear SLOs, observability, and safety/rollback mechanisms for your team’s software.
  • Lead the integration of Generative and Agentic AI into fraud detection workflows, simplifying and modernizing the platform while reducing time to detect and mitigate attacks.
  • Advocate for the use of AI in improving engineering processes, productivity and the SDLC.
  • Partner closely with engineering teams and Data Science/ML Scientists on features, experimentation, monitoring and delivery.
  • Partner with Product and Operations teams to translate functional requirements into technical specifications.
  • Build highly productive and ambitious teams while helping engineers reach their career aspirations.

Requirements

Do you have experience in Team development?, * 9+ years of software engineering, with 2+ years in an engineering leadership role.

  • Strong background in distributed cloud-native engineering at scale (AWS, GCP, or Azure), microservices and API-driven design.
  • Experience with SQL/NoSQL databases and data streaming/processing technology (Kafka, Flink, Spark).
  • Prior experience coding in one or more of Java/Scala/Go/Python.
  • Demonstrable experience guiding teams to achieve excellence in tech operations.
  • Familiarity with ML-integrated systems, working with Data/ML Science partners to deliver product features.
  • Passionate about mentorship, coaching and helping engineers with career growth., * Proven experience building and operating either fraud and risk systems in production, or other similarly ML/AI heavy systems.
  • Track record reducing manual operations via automation and platform simplification.
  • Experience with RAG-based architectures, LLMs and multi-agent applications.

Benefits & conditions

3.83.8 out of 5 stars Seattle, WA $184,500 - $295,000 a year - Full-time, Pulled from the full job description

  • Parental leave
  • Health insurance
  • Paid time off
  • Employee discount
  • Vision insurance
  • Dental insurance
  • Employee assistance program

Full job description

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us., The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent ( IATAN ) membership. View our full list of benefits .

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request .

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group’s family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group Media Solutions, Expedia Local Expert®, CarRentals.com , and Expedia Cruises . © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

About the company

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

At Expedia Group Fraud & Risk (EFR), we are the guardians of marketplace trust. We protect EG from financial loss and brand damage, securing every channel for our customers, partners, suppliers, and employees. Our world-class engineering and machine learning turn massive, noisy signals into real-time decisions that minimize risk while keeping traveler friction low.

What makes this work unique: in travel, risk doesn’t stop at checkout, it spans the entire journey. The global ecosystem is vast and fragmented, control points are scarce, and every leg introduces new unknowns. Our mission is bold: deliver a fully trusted journey from purchase to safe return home. That’s hard and exactly why science and technology matter most.

If you’re energized by complex, high-impact problems with no obvious answers, are passionate about helping people do their best work and want to shape the future of risk with AI on a global scale, join us. Let’s redefine how the world travels, safely, confidently, and at speed.

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