Senior Software Developer

Job description

As a Senior Developer with RMS, you’ll remain close to the code while working in teams that collaborate with AI agents, helping design, build, and evolve systems. You’ll contribute to shaping architecture, integration patterns, and product behaviour, while building and helping build capability in AI toolchains, context management, and repeatable patterns that allow us to achieve consistency and quality at scale, with the time and support to experiment, learn, and ship in an environment that values strong engineering fundamentals and thoughtful problem solving. 

What you’ll be doing 

• Collaborate with AI agents as part of day-to-day development, using specification-driven approaches to generate, refine, andvalidateproduction-quality code.

• Define clear specifications, constraints, and acceptance criteria that guide AI-assisted implementation, testing, and refactoring.

• Help evolve internal AI patterns, playbooks, and guardrails so teams can safely and consistentlyleverageAI at scale.

• Design, build, andoptimisescalable software solutions across the entire stack, from React-driven front ends to robust back-end systems built in C# and PostgreSQL.

• Work seamlessly across UI, APIs, and databases to deliver performant, maintainable, and secure applications that power thousands of hospitality businesses worldwide.

• Build responsive, user-centric interfaces using React, HTML5, CSS3, and JavaScript.

• Develop server-side logic, APIs, and integrations using C# and SQL/PostgreSQL.

• Collaborate with designers to translate Figma prototypes into elegant, functional interfaces.

• Shape architecture, integration patterns, and productbehaviouras the platform evolves.

• Ensure scalability, security, and performance across all layers of the application.

• Implement andmaintainautomated testing strategies including Jest, Mocha, or Jasmine for front-end testing, and unit or integration testing for back-end systems.

• Mentor and guide junior developers to uplift technical capability across the team.

• Evaluate and championnew technologies, frameworks, and development practices.

• Contribute to building capability in AI toolchains, context management, and repeatable patterns that enable consistency and quality at scale.

What you’ll bring 

• Comfort working with AI-assisted development workflows, or strong curiosity and motivation to adopt them quickly and responsibly.

• Ability to think and communicate clearly at the level of intent, specifications, and trade-offs, not just code.

• Strong engineering judgement, including validating, testing, and taking ownership of AI-generated outputs.

• Proven experience building andmaintainingfull stack applications using React, C#, and SQL/PostgreSQL.

• Strong understanding of database design, queryoptimisation, and API development.

• Solid grasp of modern front-end workflows such as Flux or Redux, and testing frameworks such as Jest, Mocha, or Jasmine.

• Familiarity with version control, CI/CD pipelines, and cloud platforms such as AWS or Azure.

• A detail-oriented approach to performance, scalability, and maintainability.

• Excellent communication skills and a collaborative mindset.

• Passion for mentorship, continuous learning, and technical excellence.

Why you’ll love working here

Growth and Progression 
As RMS grows, so do the opportunities. You will have the chance to expand your scope, develop new skills, and progress your career as the business scales. 

Ownership and Autonomy 
You are trusted to own your work and make decisions. We value accountability, initiative, and people who take pride in delivering outcomes. 

Work That Matters 
Your work will have visible impact. You will contribute to meaningful initiatives that shape how our platform evolves and how customers succeed. 

AI as a First-Class Capability 
You will work in teams where AI is embedded into everyday engineering workflows, not treated as an experiment or side project. 

Modern Engineering Evolution 
We are actively evolving how software is built, shifting emphasis toward clear specifications, system design, and high-leverage collaboration with AI agents. 

Space to Learn and Lead 
You will have time, support, and air cover to experiment, help define best practices, and influence how AI-augmented engineering matures across the organisation. 

Remote-First, Collaboration-Ready 
We support remote-first working with occasional in-office time for collaboration and connection when it matters most.