Software Development Engineer II

Posted 3 Days Ago
Gurugram, Haryana, IND
Hybrid
Mid level
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Design, develop, test, and operate scalable cloud-native services for Expedia’s tax and regulatory platforms. Build streaming, real-time processing, data lake, API, and AI-enabled systems using Kafka, Kubernetes, Spark, Flink, and cloud technologies. Develop RAG pipelines, integrate model inference endpoints, ensure security and financial-grade accuracy, maintain CI/CD and observability, support global regulatory adaptation, and contribute through code reviews, mentoring, and continuous learning.
Summary Generated by Built In

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Introduction to team:

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.

Our team is looking for a Software Development Engineer II for our Tax and Regulatory Platforms. As a member of this team, you will have the opportunity to build and support the Global Tax Platform and Unified Regulatory Platform for the travel industry.

These highly resilient systems must scale to process Expedia Group's entire business transactions in real time, while adapting to ever-changing regulations across global markets. They power complete transaction lifecycles from shopping through booking, invoicing, accounting, filing, reporting, and beyond with financial-grade accuracy and robust audit trails.

This is an opportunity to take a pivotal role in building the travel industry's premier commerce and financial platforms. You will design and implement APIs, data streams, real-time compute, and data lake storage at scale pushing the boundaries of cloud technologies including Kafka, Kubernetes, gRPC, Apache Spark, and Flink.

In this role, you will:

Core Engineering

  • Work in small, agile teams to design, develop, test, and maintain scalable and resilient services across the Tax and Regulatory Platform
  • Build and operate cloud-native streaming data, real-time processing, and data lake platforms at scale using Kafka, Kubernetes, Apache Spark, and Flink
  • Ensure all software meets the highest standards of performance, security, scalability, and financial-grade accuracy
  • Review pull requests and lead by example on code quality refactoring for readability, extensibility, and testability
  • Leverage CI/CD techniques and tools to maximise delivery speed, reliability, and operational confidence
  • Embrace change always open to replacing what you built yesterday with something better today
  • Support ever-changing global regulatory requirements by building adaptable, configurable platform components that reduce time-to-compliance in new markets
  • Drive observability and reliability across services using DataDog, Splunk, or equivalent tooling ensuring proactive detection and resolution of issues
  • Share knowledge, mentor peers, and contribute to a culture of continuous learning including AI fluency across the engineering team

AI & Intelligent Systems

  • Design and integrate AI-powered capabilities into regulatory and financial workflows including intelligent document processing, automated compliance checks, and anomaly detection
  • Build and maintain RAG (Retrieval-Augmented Generation) pipelines connecting internal knowledge sources, regulatory datasets, and transaction data to LLM-powered services for accurate, context-aware outputs
  • Integrate and manage model inference endpoints into production services, ensuring low latency, high availability, and cost-efficient serving at scale
  • Experiment with and adopt AI developer tooling leveraging tools like GitHub Copilot and Claude to accelerate engineering velocity across the team
  • Apply responsible AI practices in compliance-sensitive contexts including prompt engineering, hallucination mitigation, output validation, and audit trail requirements
  • Collaborate with data science and ML teams to translate model outputs into reliable, production-grade engineering solutions aligned to regulatory standards.

Experience & Qualifications:

  • Bachelor's degree in Computer Science or a related technical field, or equivalent professional experience
  • 3+ years of relevant professional experience in software engineering
  • Java preferred Experienced software developer with strong system design, problem-solving, and object-oriented coding skills
  • AWS, Kubernetes/Containerisation, and Apache Spark/Streaming preferredExperience developing in cloud environments
  • Experience delivering and supporting highly available, scalable, and fault-tolerant distributed systems
  • Excellent teamwork and communication skills with the ability to collaborate across cross-functional teams
  • Proficiency with monitoring and observability tools such as DataDog or Splunk
  • Strong experience building and maintaining CI/CD pipelines for rapid, reliable delivery

AI Fluency & Emerging Technologies

  • Foundational understanding of AI/ML concepts and how large language models (LLMs) are applied in production engineering contexts
  • Hands-on or working knowledge of Retrieval-Augmented Generation (RAG) patterns including vector stores, embedding models, and knowledge retrieval pipelines
  • Familiarity with model inference, including serving frameworks (e.g. TorchServe, TGI, vLLM) and integrating inference endpoints into production services
  • Experience or strong interest in AI-powered developer tooling — GitHub Copilot, Claude, or similar and applying them to accelerate engineering workflows
  • Awareness of responsible AI practices prompt engineering, hallucination mitigation, and guardrails in regulated or compliance-sensitive environments
  • Curiosity to explore how AI capabilities can be embedded into regulatory and financial platforms from intelligent document processing to anomaly detection and automated compliance checks
  • Passionate about continuous learning including AI fluency and sharing knowledge with the broader team

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

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.

Skills Required

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent professional experience
  • 3+ years of relevant professional software engineering experience
  • Strong system design, problem-solving, and object-oriented programming skills
  • Experience developing in cloud environments
  • Experience with highly available, scalable, and fault-tolerant distributed systems
  • Experience with monitoring and observability tools such as DataDog or Splunk
  • Strong experience building and maintaining CI/CD pipelines
  • Foundational understanding of AI/ML concepts and production applications of large language models
  • Hands-on or working knowledge of Retrieval-Augmented Generation patterns, vector stores, embedding models, and knowledge retrieval pipelines
  • Familiarity with model inference and serving frameworks such as TorchServe, TGI, or vLLM
  • Java experience
  • AWS, Kubernetes/containerization, and Apache Spark/streaming experience
  • Experience with AI-powered developer tools such as GitHub Copilot or Claude
  • Awareness of responsible AI practices, prompt engineering, hallucination mitigation, and guardrails
  • Excellent teamwork and communication skills

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits Travel discounts across company brands and wellness/travel stipends are positioned as meaningful, travel‑friendly perks. Additional wellbeing resources such as telehealth and an employee assistance program are also highlighted.
  • Healthcare Strength Medical, dental, and vision coverage are described as comprehensive in the U.S., with mental‑health tools and telehealth expanding access. These core plans are consistently presented as a foundation of the package.
  • Parental & Family Support Paid parental leave, family‑building support (fertility, adoption), and caregiving resources are emphasized across company materials. These offerings signal attention to a broad range of family needs.

Expedia Group Insights

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group, Inc. is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds, locations, and disciplines. Day to day, that means sharing ideas, taking ownership, and solving problems together.

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Expedia Group Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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