Data & Integrations Team | Navan
Navan has transformed the corporate travel, payment, and expense landscape by consistently prioritizing user needs. As a Senior Backend Engineer on the Enterprise Team, you will be a technical leader building the backbone of our corporate travel infrastructure. You will architect and develop the critical systems that allow the world’s largest companies to configure, manage, and scale their travel programs—covering everything from complex policy engines and approval workflows to user lifecycle management and enterprise analytics.
This is a high-impact engineering role where you will solve complex logic and scalability challenges. You will ensure that our platform can handle sophisticated corporate rules and seamless integrations for massive global organizations. You’ll collaborate closely with a talented team of engineers, product managers, and architects to design and build innovative solutions that empower our customers to manage their travel spend effectively.
What You’ll Do
- Architect Enterprise Core Services: Design, build, and evolve the backend microservices that power the "brain" of the corporate travel platform—specifically the engines responsible for travel policies, dynamic approval workflows, and compliance enforcement.
- Build Data-Driven Services: Design and develop highly scalable APIs and data processing services that manage high volumes of data, power reporting features, and enable seamless integrations with both internal and external systems.
- Own Systems End-to-End: Take technical ownership of a problem domain, architecting, developing, and launching key backend features and microservices that have a direct impact on our users and business operations.
- Collaborate Across Teams: Work cross-functionally with various engineering, product, and business teams to deliver complex, cross-domain features in a collaborative, global environment.
- Drive the Technical Vision: Partner with engineering and product leadership to define and execute the long-term technical roadmap for our data platform. Be a subject matter expert on backend architecture, distributed systems, and data integration patterns.
- Champion Best Practices: Contribute to a culture of technical excellence by writing high-quality, scalable, and well-tested code. Mentor other engineers on backend development and advocate for best practices in system design, API development, monitoring, and operational reliability.
What We’re Looking For
- 4+ years of experience in backend software development, building large-scale distributed systems for SaaS products or consumer-facing applications in a fast-paced environment.
- Deep expertise in backend development using Java and Spring Boot, with a strong grasp of JVM fundamentals, performance tuning, and concurrency.
- Proven experience with databases (SQL and/or NoSQL), complex data modeling, and query optimization to handle large datasets.
- Extensive experience designing and implementing scalable, resilient applications using microservices, distributed systems, and event-driven architectures on cloud platforms (AWS preferred).
- Demonstrates strong technical ownership and a collaborative mindset, with excellent communication skills and a proven ability to ship production-quality services equipped with robust testing, monitoring, and documentation.
- A passion for investigating and solving challenging problems in system scalability and data integrity, with a willingness to learn and utilize new tools and technologies.
- Ability to effectively leverage AI development tools (such as GitHub Copilot, CodeGPT, Claude, and Cursor) to accelerate development and innovate on engineering workflows while maintaining high standards for code quality.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent hands-on experience.
Bonus Points For
- Experience with AI/ML technologies, particularly in building backend systems to support agentic AI, LLM-based features, or autonomous workflows.
- Deep familiarity with data pipelines (e.g., Kafka, Kinesis), ETL processes, and reporting systems.
- Experience with performance and scalability testing for high-throughput services.
- Familiarity with travel industry concepts (e.g., bookings, inventory, integrations with GDS or other suppliers).
Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.
Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.
Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.
Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.
Skills Required
- 4+ years of backend software development experience building large-scale distributed systems for SaaS or consumer-facing applications
- Deep expertise in backend development using Java and Spring Boot
- Strong understanding of JVM fundamentals, performance tuning, and concurrency
- Experience with SQL and/or NoSQL databases, complex data modeling, and query optimization
- Experience designing scalable and resilient applications using microservices, distributed systems, and event-driven architectures
- Experience with cloud platforms, preferably AWS
- Technical ownership, collaboration, communication, and ability to deliver production-quality services
- Experience with testing, monitoring, documentation, and operational reliability
- Ability to investigate scalability and data integrity problems and learn new technologies
- Ability to effectively use AI development tools such as GitHub Copilot, CodeGPT, Claude, and Cursor
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience
- Experience with AI/ML technologies, agentic AI, LLM-based features, or autonomous workflows
- Familiarity with data pipelines such as Kafka or Kinesis, ETL processes, and reporting systems
- Experience with performance and scalability testing for high-throughput services
- Familiarity with travel industry concepts, bookings, inventory, GDS, or supplier integrations
What the Team is Saying
Navan Compensation & Benefits Highlights
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Healthcare Strength — Medical, dental, and vision coverage for employees and dependents are highlighted, with mental health resources such as Headspace included. This breadth of core health benefits signals strong baseline coverage.
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Leave & Time Off Breadth — Flexible vacation in the U.S., a company-wide year-end quiet week, and a U.K. policy listing five weeks of PTO point to generous time-away options. These elements indicate meaningful support for rest and recharge across regions.
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Parental & Family Support — Paid parental leave is specified as 16 weeks for the birthing parent and 10 weeks for the non-birthing parent. Clear, above-basic leave durations suggest solid family support.
Navan Insights
What We Do
Navan (Nasdaq: NAVN) is the leading all-in-one business travel, payments, and expense management platform that makes travel easy for frequent travelers. From finding flights and hotels to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com.
Why Work With Us
At Navan, we’re never satisfied with the status quo, and we know breakthrough ideas come from diverse perspectives. We are committed to cultivating a workplace that reflects the diversity of the customers we serve while fostering leadership and innovation.
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Navan Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In-person connections is the foundation of Navan, the connections forged through face-to-face interactions improve company culture and what we can achieve together. We operate on a hybrid working model, which we define as four days a week in-office.
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