Set and evolve the technical strategy for Revenue Intelligence, translating product and business goals into coherent architecture and executable engineering plans
Lead the design and delivery of complex capabilities across customer-facing web applications, backend APIs, event-driven services, data pipelines, analytical storage, and recommendation workflows
Identify and resolve systemic risks in scalability, reliability, security, data quality, observability, and operability before they become recurring customer or engineering problems
Drive modernization of legacy systems and infrastructure through incremental, well-reasoned migrations that preserve delivery momentum and production stability
Partner with Product, Data Science, Infrastructure, Security, and engineering leaders to define boundaries, contracts, ownership, and long-term platform direction
Remain hands-on in the codebase through implementation, technical spikes, design reviews, debugging, incident response, and the most consequential or ambiguous engineering work
Raise the technical effectiveness of the wider organization through mentoring, architecture guidance, engineering standards, documentation, and constructive challenge
10+ years of software engineering experience, including significant technical leadership across complex production systems
Deep hands-on expertise in Python, with the ability to work effectively across both ecosystems and guide engineering decisions beyond a single language
Strong architecture and distributed-systems fundamentals, including API design, event-driven workflows, consistency, failure handling, scalability, and service boundaries
Experience with data-intensive systems such as PostgreSQL, Redshift or similar analytical platforms, batch and streaming pipelines, and large-scale data processing
Experience designing or operating recommendation systems, machine-learning platforms, pricing systems, experimentation workflows, or other decision-support products
Strong cloud and platform engineering experience across AWS, containers, Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability, and secure production operations
A demonstrated ability to lead through influence, create alignment across teams, communicate complex tradeoffs clearly, and drive decisions from ambiguity to execution
A strong record of improving engineering quality through testing strategy, operational readiness, incident learning, security, documentation, and sustainable technical standards
Product judgment and customer empathy, with the ability to connect technical investments to measurable outcomes for hoteliers and the business
Business-level English fluency and experience collaborating effectively in a remote, globally distributed organization
Deep hands-on expertise in .NET/C#
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary
Learn more online at cloudbeds.com