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Staff Software Engineer

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Published
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12 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

Cloudbeds is seeking a Staff Software Engineer to join their Revenue Intelligence team in a fully remote role. This hands-on leadership position involves shaping technical strategy, designing complex distributed systems, and mentoring engineers. The role requires deep Python expertise and experience with data-intensive systems like PostgreSQL and Redshift. The position is ideal for a seasoned engineer with 10+ years of experience and strong architecture fundamentals.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis role requires a Staff-level engineer with 10+ years of experience and deep technical leadership. It involves tackling ambiguous, complex problems across distributed systems, data pipelines, and production infrastructure, making it one of the most challenging levels.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$210,000
US market range$160k–$280k
AI insightThe offered salary for this position is not explicitly stated, but based on the level of seniority and requirements, the estimated US market median is around $210,000 per year. This figure is competitive for a Staff Software Engineer, typically ranging from $160,000 to $280,000. As this is a remote Europe position, actual compensation may be adjusted based on location.

Core skills

Skills and capabilities most closely associated with this opportunity.

Cover letter sample

Dear Hiring Manager,

I am excited to apply for the Staff Software Engineer position at Cloudbeds. With over a decade of experience in building scalable, data-intensive systems, I have led technical vision and architecture for complex platforms. The opportunity to work with a global team to transform hospitality with AI-powered solutions deeply resonates with me. I thrive in hands-on leadership roles, driving both design and implementation while mentoring fellow engineers. I look forward to contributing to the Revenue Intelligence team and helping Cloudbeds continue its impressive growth.

Sincerely,
[Your Name]

Sample interview questions
Can you describe a time when you had to influence technical decisions across multiple teams?

In my previous role, I led the migration of a monolithic backend to event-driven microservices. I presented a phased roadmap to stakeholders, documented trade-offs, and ran design workshops to get alignment. By involving teams early and addressing their concerns, we successfully delivered with minimal disruption.

How would you design a data pipeline for near-real-time pricing recommendations?

I would start by identifying sources such as booking data and competitor rates. Use a streaming platform like Kafka for ingestion, process with Python workers, and store aggregated results in an analytical store like Redshift. Ensure idempotency and monitoring for data quality and latency.

What strategies do you use to maintain system reliability while delivering new features?

I advocate for incremental improvements, feature flags, chaos engineering, and robust observability. We prioritize key metrics like error rates and latency, and we practice blameless postmortems to learn from incidents.

How do you balance paying down technical debt with new product development?

I quantify the impact of debt in terms of engineering velocity and risk. I work with product managers to allocate a percentage of each sprint to refactoring and technical improvements, ensuring we address critical issues without stalling innovation.

How do you mentor other engineers and elevate the team's technical level?

I conduct regular code reviews, architecture discussions, and pair programming sessions. I document best practices and encourage knowledge sharing through internal talks. I also provide constructive feedback and create growth paths tailored to each engineer's goals.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

What Makes Cloudbeds 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 (Europe)

How You’ll Make an Impact:

As a Staff Software Engineer in Revenue Intelligence, you will shape the technical direction of systems that help hospitality businesses understand demand, identify revenue opportunities, and make better pricing and commercial decisions. You will work across customer-facing applications, backend services, data pipelines, analytical stores, recommendation workflows, and cloud infrastructure. This is a hands-on leadership role: you will solve complex engineering problems directly while establishing architecture, improving reliability and security, reducing systemic technical debt, and aligning multiple teams around durable technical decisions. Your impact will extend beyond individual features to the quality, scalability, operability, and long-term evolution of the Revenue Intelligence platform.

Our Revenue Intelligence Team:

The Revenue Intelligence team builds products and platforms that turn hospitality data into practical decisions for hoteliers, including pricing recommendations, demand insights, reporting, automation, and commercial opportunities. Our systems span frontend experiences, APIs, distributed services, data processing, machine-learning workflows, and production infrastructure. We value pragmatic engineering, strong ownership, evidence-based decisions, and technical leaders who raise the effectiveness of the people and systems around them.

What You Bring to the Team:

  • 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

What Sets You Up for Success:

  • 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

Bonus Skills to Stand Out:

  • 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 

Company Awards:

  • 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
  • Monthly Wellness Fridays – enjoy an extra-long weekend every month
  • Fully Paid Parental Leave
  • Home office stipend based on country of residency
  • Professional development courses in Cloudbeds University
  • Access to professional development, including manager training, upskilling and knowledge transfer 

Everyone is Welcome – A Culture of Inclusion  

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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 accommodations@cloudbeds.com. 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.

#LI-REMOTE

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