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求人Expedia Group

Senior Software Development Engineer

Expedia Group

Senior Software Development Engineer

Expedia Group

India - Bangalore

·

On-site

·

Full-time

·

1w ago

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.

About Our Team:

Within Expedia Group, at the foundation of every successful initiative is DATA.
Our team at Expedia Group is looking for a proven, entrepreneurial, hands-on technical leader at a senior level who will define and implement the vision for AI automated data and platform engineering that will power EG’s hyper personalized traveler experiences.
Our team is at the heart of Expedia Group's AI transformation working on data and platforms powering Destination domain and Marketing Communications while also being one of the AI platform development team taking AI initiatives to production for Enterprise Data Platform. We work on data experiences for over 700 million travelers annually across Expedia, Hotels.com, Vrbo, and our entire brand portfolio. We're a dynamic group of data engineers, full stack engineers, and product experts who are pioneering the use of generative AI and agentic systems to revolutionize how travel data is processed, understood, and activated at massive scale.

We're not just building data pipelines – we're also creating autonomous AI systems that understand destination and marketing domains for traveler intent, predict needs, and enable magical travel experiences in real-time. As early adopters of cutting-edge agentic AI frameworks and MCP (Model Context Protocol), we're building self-optimizing systems that process petabytes of data daily while continuously learning and evolving.

Our team culture celebrates innovation, where experimentation is encouraged, failures are learning opportunities, and breakthrough ideas come from everyone. This is a rare opportunity to shape the future of travel technology while having immediate impact on how millions of people experience the joy of travel.

In this role, you will:

  • Design, build, and evolve complex, highly available, and performant services, APIs, and data models that power customer and partner-facing products across multiple domains.

  • Lead end-to-end implementation of features and systems, including low-level design, API design, data modeling, coding, testing, deployment, and operational readiness for services you own.

  • Drive technical decision-making within your area by evaluating trade-offs, proposing pragmatic solutions, and mentoring other engineers on engineering best practices, code quality, and system design.

  • 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 where appropriate.

  • Collaborate closely with product, design, and other engineering teams to translate business and customer requirements into scalable technical solutions that can be reused across multiple services and domains.

  • Champion operational excellence by improving reliability, observability, and incident response processes, and by continuously optimizing system performance, cost, and security.

Minimum Qualifications:

  • Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

  • 8+ years of relevant professional experience.

  • Proven experience owning the design, implementation, and operational support of one or more services or components, including APIs, data models, and integrations with other systems.

  • Proven experience in AI engineering.

  • Strong foundation in computer science fundamentals, including data structures, algorithms, object-oriented or functional design, and system design for distributed or service-oriented architectures.

  • Demonstrated ability to collaborate in a cross-functional environment, breaking down complex requirements into incremental, high-quality deliverables with a focus on testing, reliability, and maintainability.

Preferred Qualifications:

  • Experience designing and evolving service architectures at scale, including clear API contracts, resilient integrations, and data modeling that supports high-throughput, low-latency workloads.

  • Track record of driving AI enabled technical initiatives that improve reliability, observability, or cost efficiency across multiple services or teams, including ownership of on-call readiness and incident reviews.

  • Proficiency in applying data-driven approaches to engineering decisions, such as using metrics, logs, and experimentation to guide performance tuning and feature rollout strategies.

  • Hands-on experience integrating or extending AI/ML‑enabled capabilities in production systems, including responsible use of AI services, evaluation of model impact, and safe automation of workflows, with the ability to guide others on safe and effective AI adoption.

  • Depth in at least one technical domain (such as backend services, full stack, data-intensive systems, or platform components) with the ability to quickly learn adjacent technologies and contribute across domain boundaries.

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®, Cheap Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car Rentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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Expedia Groupについて

Expedia Group

Expedia Group, Inc. is an American travel technology company that owns and operates travel fare aggregators and travel metasearch engines, including Expedia, Hotels.com, Vrbo, Travelocity, Hotwire.com, Orbitz, Ebookers, CheapTickets, CarRentals.com, Expedia Cruises, Wotif, and Trivago.

10,001+

従業員数

Seattle

本社所在地

$6.8B

企業価値

レビュー

3.8

9件のレビュー

ワークライフバランス

4.2

報酬

3.5

企業文化

4.1

キャリア

4.0

経営陣

3.4

75%

友人に勧める

良い点

Supportive work environment and colleagues

Good work-life balance

Great benefits and perks

改善点

Poor management and leadership issues

Compensation below market rate

Organizational chaos from acquisitions

給与レンジ

1件のデータ

Intern

Intern · Machine Learning Scientist Intern

1件のレポート

-

年収総額

基本給

-

ストック

-

ボーナス

-

面接体験

6件の面接

難易度

2.8

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical/Coding Assessment

4

Final Interview

5

Offer Decision

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit