The hospitality industry is uniquely human, and it deserves technology that’s just as inspiring as the people behind it. At Mews, we’re transforming the industry with a platform that helps hotels run smarter, move faster and create better guest experiences.
You’ll work with smart, curious people who care deeply about what they do. You’ll have autonomy and the trust to make good decisions and move quickly. And you’ll enjoy a real sense of purpose as you see the impact of what we’re building.
If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here.
Let's get into the specifics. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distil it into a job description (which we do because this is a job description), it would be this:
You'll own the CI/CD pipelines, infrastructure as code, and security posture behind Mews' Housekeeping and Staff Management (HMS) platform, one of the few genuinely multi-cloud estates at Mews, spanning AWS, GCP, and a growing Azure footprint. Hotels around the world depend on this platform running reliably, and right now the team is converging legacy Mews housekeeping customers onto HMS, which means the infrastructure underneath needs to scale cleanly while staying secure. It's a rare chance to work hands-on across three cloud providers at once, with real say in how a multi-cloud platform gets built and modernized.
You'll work closely with the HMS Quality and HMS Staffing engineering teams, taking ownership of the infrastructure that lets them ship quickly and safely, while steadily modernizing legacy setups (autoscaling, containerization, less manual operation) as the platform absorbs significant customer growth.
AI Fluency Level 4: this role goes beyond using AI tools well in your own workflow. You'll be expected to design and ship AI-powered components as part of the platform itself, whether that's intelligent pipeline triage, automated anomaly detection, or other AI-driven tooling for HMS infrastructure. You understand the underlying models and infrastructure well enough to make real engineering decisions about them.
For more information on AI fluency at Mews, please refer to "AI Fluency at Mews: A Comprehensive Guide for Candidates" on Confluence.
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