Staff Revenue Intelligence Engineer - Remote Europe

JobFluent; United States; Remote; USD 161,000 - 207,000; Full time

Benefits offered by this job

Remote First

PTO and leave policies

Home office stipend

Professional development

Job summary

Cloudbeds is redefining hospitality with a fully remote engineering team spanning Europe. As a Staff Software Engineer in Revenue Intelligence, you will shape technical direction for demand insight, pricing, and analytics, working across customer-facing apps, data pipelines, and cloud infrastructure.

You will lead with hands-on coding, mentor engineers, and collaborate with Product, Data Science, and Security to establish durable platform decisions, while delivering scalable, secure, and

Qualifications

• 10+ years of software engineering experience with leadership.
• Strong Python expertise guiding engineering beyond a single language.
• Strong cloud and platform experience across AWS, containers, Kubernetes, Terraform, and CI/CD.
• Experience with PostgreSQL, Redshift, data pipelines, and large-scale data processing.

Responsibilities

• Set and evolve the technical strategy for Revenue Intelligence, translating product and business goals into architecture and engineering plans.
• Lead design and delivery across web apps, backend APIs, data pipelines, analytics storage, and workflows.
• Mentor teams, raise engineering quality, and drive standards across the organization.

Skills

Python

Technical leadership

Distributed systems

API design

Event-driven

PostgreSQL

Redshift

Data pipelines

AWS

Kubernetes

Terraform

CI/CD

Observability

Security

Remote collaboration

English fluency

NET/C#

Tools

.NET/C#

Job description

Cloudbeds is redefining hospitality with a fully remote engineering team spanning Europe. As a Staff Software Engineer in Revenue Intelligence, you will shape technical direction for demand insight, pricing, and analytics, working across customer-facing apps, data pipelines, and cloud infrastructure.

You will lead with hands-on coding, mentor engineers, and collaborate with Product, Data Science, and Security to establish durable platform decisions, while delivering scalable, secure, and