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# Senior Backend Engineer

- **Company:** ZEST FOR TRAVEL, L.L.C.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $260,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Big Data, Cloud Computing, Distributed Systems, Python (Programming Language), NoSQL, Standard Sql, Software Engineering, TypeScript, Data Processing, AI Coding Agents, Backend, Event Driven Architecture, Data Pipelines, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_bc506c449aa159a5303d835b3955fbc9

## About the Role

* 8-10+ years of software engineering experience, with extensive hands-on backend development.
 * Proven experience designing, building and scaling complex backend systems in production.
 * Strong understanding of distributed systems, asynchronous processing and event-driven architectures.
 * Proficiency in at least 2 of TypeScript, Python and Go.
 * Experience designing and working with SQL and NoSQL databases.
 * Ability to independently own substantial engineering projects from design through to production.
 * Regular use of AI coding tools within your development workflow.
 * Cloud infrastructure experience is beneficial but not essential.

## Description

We're working with a well-funded Series B scale-up that's raised over $60m and grown to more than 100 employees. They're looking for a Senior II Backend Engineer to design, build and scale complex distributed systems and core backend services.

This is a hands-on engineering role focused on backend architecture, high-volume data processing and asynchronous systems, with significant ownership over technical design and delivery.

You'll join a small team of 3 senior engineers within a wider engineering organisation of 50, responsible for building and scaling the core backend systems that support the business, with significant autonomy and ownership.

What you'll be working on

 * Designing and building scalable distributed backend systems.
 * Developing large-scale data ingestion and processing pipelines.
 * Building asynchronous systems using queues, workers and event-driven architectures.
 * Developing high-throughput APIs and complex data models.
 * Building reliable notification, messaging and external integration systems.
 * Taking ownership of technical design decisions and mentoring other engineers.