Software Engineer III, FullStack/BackEnd

Rent the Runway (RTR)  is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.”

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

We are looking for a Back End/Full Stack Engineer who values creativity and user experience as much as great code and curiosity. As an engineer on the Consumer Retention team, you will work with an enthusiastic team of engineers focused on the stages of the customer journey across multiple devices and surfaces, increasing customer loyalty and reducing subscription churn. We manage loyalty platform, membership, personalisation, add-ons, and customer promise to build world-class experiences for an eager and passionate customer base, from their first visit to their first order! Our team works in an agile environment, building high-quality, performant software while solving high-impact and complex problems

• →Participate in all aspects of agile software development, including design, implementation, and deployment.
• →Develop clean, testable, scalable systems using Java, Kotlin, Dropwizard, SpringBoot, Redis, MongoDB, RabbitMQ, Spring Boot, Splunk, MySQL and other open source technologies.
• →You’ll build intuitive and well-tested APIs for manipulating & retrieving data.
• →You will optimise for performance and scalability.
• →Drive technical projects to success in a fast-paced startup environment.
• →You’ll deprecate and remove functionality & services that no longer suit our needs.
• →Find architectural improvements to enable rapid growth in traffic and order volumes while continuously improving developer productivity.
• →Work with business stakeholders to identify software solutions to business challenges.
• →Assist in prioritisation efforts, planning future roadmaps, and provide mentorship to others.

• You have hands-on, production-level experience across significant parts of our technology stack: 
• Backend: Java, Kotlin, SpringBoot, RabbitMQ, MySQL, MongoDB.
• Frontend: ReactJS, Next.js.
• You have experience and enthusiasm for testing, test-driven development, and building reliable systems.
• You have a strong command of best practices, design patterns, and system architecture tradeoffs.
• You can hit the ground running and quickly familiarize yourself with an existing codebase and toolset.
• You have experience with distributed system performance analysis and optimisation.
• You can understand, diagnose, and articulate technical challenges and solutions effectively.
• You have a high level of comfort navigating ambiguity and making the tradeoffs without compromising quality.
• You're a collaborative partner who thrives in a cross-functional environment, working closely with product, design, and engineers across various tech stacks to build cohesive, high-impact solutions.

• You are proficient in deploying a diverse stack of LLMs (Gemini CLI, Claude) and AI-native IDEs (Cursor, Windsurf, Copilot) to automate and elevate professional workstreams.
• You have expertise in prompt engineering, focusing on high-density context provision to minimise hallucinations and maximise model accuracy.
• You are skilled in defining AI behaviour through structured system prompts and custom agent configurations for predictable, high-quality output.
• You have a deep understanding of the AI ecosystem, including Model Context Protocol (MCP), API connectors, and the design of autonomous agentic loops.
• You can proactively identify high-impact areas for AI integration to drive measurable gains in operational efficiency and output volume.