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What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location: Remote with expected travel into Paddington 2 days per week. How You'll Make an Impact: As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability., • Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring., • Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications., • Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs)., • Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance., • Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability., • Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time., • Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field., • 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications). 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 Company Awards to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits:, • Remote First, Remote Always, • PTO in accordance with local labor requirements, • 2 corporate apartment accommodations for team member use for free (San Diego & São Paulo), • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at 858-201-7832 or via email at . Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

About the Team The Innovation team is a sharp, agile group of engineers and designers defined by a single purpose: to build something better. We don’t just upgrade technology; we question it. We exist to prototype the future of living, translating conceptual ideas into the practical, multi-device systems that will define the Essential Operating System. We are tackling the industry's most critical problems—creating adaptive, expressive interfaces that feel less like tools and more like human connection. We move fast because we are small and independent, using foundation models not for the buzz, but to create useful outcomes that could only come from Nothing. What You'll Do • Architect and build transformative user experiences within the Essential Operating System, leveraging foundation models to create features that are genuinely useful rather than just hype., • Take experimental concepts from "zero to one," rapidly prototyping new interaction models across mobile, ambient computing, and multi-device systems., • Dig deep into the OS kernel and Android framework to build adaptive systems and recommendation engines that feel seamless and native to the device., • Drive features from a hacked-together prototype to stable, production-grade code, ensuring we maintain a high velocity of shipping without compromising quality., • Optimise for performance and efficiency, ensuring that our "always-on" behavioural understanding features respect battery life and system resources., • Collaborate intimately with researchers and designers to ensure every interaction is designed to inspire and spark emotion, rather than just function., • Champion the integration of emerging technologies by focusing strictly on the outcome for the user, ensuring we remain a challenger brand that punches above its weight. What We're Looking For • Technical Excellence. You have a clear track record of delivering code that is stable, scalable, and beautifully engineered, with at least two years of hands-on industry experience., • Deep Pragmatism. You know when to hack a prototype together in an afternoon and when to slow down and build robust architecture for the long term., • Ownership and Drive. You don't wait for permission. You have a history of launching products quickly and scaling them successfully in fast-paced environments., • System-Level Curiosity. You possess a challenger-minded passion for hacking mobile interfaces and the OS kernel, always looking for a better way to build., • AI Fundamentals. You understand the mechanics of LLMs and foundation models, with a desire to integrate them into consumer-facing products in a way that feels natural, not forced., • Direct Communication. You speak plainly and with intention, avoiding jargon to collaborate effectively across global marketing, design, and engineering teams., • Foundational Knowledge. A Bachelor’s degree in Computer Science or a related technical field (or equivalent rigorous experience) that grounds your engineering decisions. How We Work We build better tech by moving fast. That speed demands direct collaboration and shared creative energy. We believe the best work happens when we're together. • Location: London (Kings Cross & Farringdon offices)., • Working Pattern: This is a full-time, in-office role (5 days a week). We move fast, and that means being physically present. We design flexibility around personal needs, but we focus on the magic that sparks when we’re all in the same room., • Commute: We ask that you live within a 60-minute commute of your home office location.

⚡️Your Mission Join us as a Senior Software Engineer and help build the future of mission-driven giving!🚀 We’re looking for a highly capable Senior Engineer who thrives in early-stage environments and enjoys owning complex problems end-to-end. You’ll work closely with our Head of Engineering, CEO, and cross-functional squads to design, build, and scale the core platform powering EverGive. This isn’t a “just ship tickets” role. This is a role for someone who takes pride in architecture, delivery, and enabling the whole team to move faster. You’ll lead by example on code quality, enforce best practices, and make thoughtful technical decisions that set us up for scale. From shipping new features to refining developer workflows, you’ll help us evolve from early product-market fit into a platform trusted by charities and donors worldwide. 🏆 What you'll do: • Own end-to-end delivery of complex features and technical initiatives with minimal oversight., • Enable the team by identifying blockers, unblocking them quickly, and ensuring predictable, steady delivery., • Champion code quality by setting and enforcing modern coding standards and ensuring all code meets agreed quality levels., • Drive architectural discussions and decisions, identifying long-term risks and opportunities for the platform., • Continuously improve performance, tooling, workflows, and overall developer experience across the software lifecycle., • Document with clarity so technical knowledge is complete, accurate, and useful for internal and external stakeholders., • Enforce best practices across the team, including:, • Automated testing and CI/CD pipelines, • Dependency and toolchain upkeep, • Codebase health and disciplined refactoring 👾 Who you are: • 5+ years professional engineering experience, ideally in a high-growth tech or start-up environment., • Proven track record in building and maintaining production systems with:, • TypeScript(Node.js and/or modern frontend frameworks), • PostgreSQL, • AWS services(ECS, RDS, S3), • Strong grounding in software design principles and architectural patterns., • Demonstrated ability to improve workflows, coding standards, or delivery processes., • Excellent written and verbal communication skills - you value clarity, especially in documentation and cross-team collaboration., • Passion for EverGive’s mission and curiosity about Bitcoin as a force for good. Desired • Familiarity with infrastructure-as-code (Terraform, AWS CDK, etc)., • Previous experience in a start-up or fast-paced environment. 👥 Our Team and Way We Work EverGive is largely hybrid‑remote - most roles work remotely and gather in London once a month. This Senior Software Engineer is different: you’ll be on‑site in our central London workspace five days per week, to collaborate more closely with our founder/CEO and Product Manager. 💝 Values 💚Meaning Matters: We’re here to make a real impact. We care deeply about our users, their causes, and the change we create. We focus on building genuine connections, delivering results, and staying true to our mission without compromising on trust. 🧹Mop the Floor: We roll up our sleeves and do whatever it takes to help the team succeed. No task is too small, and “not my job” isn’t in our vocabulary. We take ownership and work together to achieve shared goals. 🚀Forward Momentum: We act quickly and decisively, focusing on progress over perfection. Everyone is empowered to take ownership, make an impact, and keep things moving forward in our fast-paced environment. 🌱1% Better Every Day: We embrace growth by striving to improve just a little every day - individually and as a team. We tackle challenges, learn from experience, and continuously seek new ways to grow, never settling for complacency. 😁Delight Our Customers: Our donors and charity partners are at the heart of everything we do. We listen, empathise, and innovate to solve their problems and exceed expectations, delivering exceptional experiences that create lasting value. Company Benefits We know great work happens when you’re supported to be your best. Here’s how we make it happen: • Competitive Pay: A package designed to reward your talent and drive, with clear growth paths as we scale., • Ownership in Our Success: Receive equity through our share option scheme and become a true stakeholder in EverGive's growth and impact., • Comprehensive Healthcare: Full private healthcare cover, because your well-being matters., • Learn and Grow: Annual training budget plus three paid days to upskill, explore, and develop yourself., • Delicious Team Lunches: On in-person days, enjoy freshly prepared, restaurant-quality lunches made by our personal chef. We believe good food fuels good work, and shared meals are the best kind of team time., • Impact Beyond Your Role: Use our giving programme to support causes close to your heart., • Time to Recharge: 25 days of holiday (plus public holidays), because we believe rest fuels creativity., • Sick Pay: Available to support you on those days when you're under the weather., • Work from Anywhere: Take advantage of working-from-abroad opportunities. Why We’re Moving In-Person We’ve been a remote team since our early days, with brilliant colleagues still working remotely today. That flexibility helped us get off the ground and move fast with an early team. But as we enter our next chapter of doubling down on EverGive, we believe that building something bold and enduring now requires greater speed, creativity, and collaboration. For our new hires in London, we’re moving to full-time, in-person. Here’s why we think that matters, and what it means for you: • A true seat at the table: You won’t just be working through Slack or Zoom. You’ll be in the room with our founder and early teammates, shaping the product, the culture, and the trajectory of the company., • Osmosis at start-up speed: When every whiteboard session, every debate, every breakthrough happens live, you learn and grow at a pace that’s hard to match anywhere else., • The best of both worlds: You’ll still collaborate with brilliant remote colleagues, while being at the heart of a London squad that’s designed for energy, creativity, and momentum., • Mission-driven intensity: If you care about EverGive’s mission, there’s no better place to be than right here, co-creating with people who share your fire. This isn’t the path for everyone. But if you want to build shoulder-to-shoulder with exceptional peers, learn directly from our founder, and see the impact of your work every single day, this will be the most rewarding environment you’ll find. Interview Process • Screening Call with Talent Lead (virtual / 30min), • Hiring manager interview with Head of Engineering (virtual / 30min), • Task / Technical interview (virtual / 1.5hr), • Culture & Values Fit interview (in-person in London / 1.5hr)

Good understanding of logistics operations (such as logistics provider management, shipping fee pricing and analysis, shipping fee settlement for merchant and provider, etc. Work with project management teams to ensure that settlement solutions are delivered at the early stages of logistics projects