DevOps Engineer - I (Remote)
Illinois, Chicago, United States of America
PriceLabs
PriceLabs is a dynamic pricing tool and revenue management platform for Airbnb, Vrbo, short-term & vacation rental owners, and property managers.
About the Role:
Data Engineering is a small, dynamic team working with large volumes of data—hundreds of gigabytes per day—that require extensive pre-processing and rigorous data quality checks. As a DevOps Engineer, you will join the Data Engineering team and collaborate closely with both Engineering and Data Science to ensure efficient, reliable, and scalable systems. If you’re eager to learn, enjoy a fast-paced environment, and want to make a real impact, we’d love to hear from you.
About You:
Please fill out the form with the required details. If your profile is shortlisted, our team will reach out to you via email. If you don't find the emails in your inbox, please check your spam folder.
Tip: Avoid using AI-generated responses. We want to hear from you!
About PriceLabs:
PriceLabs is a revenue management solution for the short-term rental and hospitality industry, founded in 2014 and headquartered in Chicago, IL. Our platform helps individual hosts and hospitality professionals optimize their pricing and revenue management, adapting to changing market trends and occupancy levels.
With dynamic pricing, automation rules, and customizations, we manage pricing and minimum-stay restrictions for any portfolio size, with prices automatically uploaded to preferred channels.Every day, we price over 450,000+ listings globally across 150+ countries, offering world-class tools like the Base Price Help and Minimum Stay Recommendation Engine.
In 2024, we scaled to;
PriceLabs is an equal-opportunity employer. We are committed to providing equal opportunity in all aspects of employment. We do not discriminate based on race, colour, religious creed, national origin, ancestry, sex, age, veteran status, marital status or physical challenges.
- Deploy and manage databases such as MySQL, PostgreSQL, and Redis.
- Set up and maintain message queueing systems, including RabbitMQ and Kafka.
- Deploy and manage workflow processing tools like Apache Airflow, Apache Flink, and Apache Spark.
- Administer and manage Linux-based systems (e.g., Ubuntu, Debian).
- Develop automation scripts and pipelines for the consistent deployment of infrastructure components.
- Build and manage CI/CD pipelines, use Docker for containerized deployments.
- Familiarity with managing both cloud-based (managed) services and on-premises (self-hosted) infrastructure.
- Write and maintain tooling in Python for system orchestration and monitoring.
- Collaborate with cross-functional teams to ensure a scalable and resilient system architecture.
- Adapt new technologies and tools into our infrastructure stack.
- Support a hybrid environment of managed and self-hosted services.
Data Engineering is a small, dynamic team working with large volumes of data—hundreds of gigabytes per day—that require extensive pre-processing and rigorous data quality checks. As a DevOps Engineer, you will join the Data Engineering team and collaborate closely with both Engineering and Data Science to ensure efficient, reliable, and scalable systems. If you’re eager to learn, enjoy a fast-paced environment, and want to make a real impact, we’d love to hear from you.
About You:
- You have a minimum of two (2) years of relevant experience.
- Strong experience maintaining databases.
- Proficiency in Python for scripting and automation.
- Demonstrated adaptability and willingness to learn new systems and technologies.
- Prior experience working in a fast-paced environment.
- Willingness to take on diverse responsibilities.
- Infrastructure as Code: Familiarity with tools and practices to automate deployments of databases, queues, and workflow processors.
- Data Analysis: Basic understanding of data analysis techniques and tools.
Please fill out the form with the required details. If your profile is shortlisted, our team will reach out to you via email. If you don't find the emails in your inbox, please check your spam folder.
Tip: Avoid using AI-generated responses. We want to hear from you!
About PriceLabs:
PriceLabs is a revenue management solution for the short-term rental and hospitality industry, founded in 2014 and headquartered in Chicago, IL. Our platform helps individual hosts and hospitality professionals optimize their pricing and revenue management, adapting to changing market trends and occupancy levels.
With dynamic pricing, automation rules, and customizations, we manage pricing and minimum-stay restrictions for any portfolio size, with prices automatically uploaded to preferred channels.Every day, we price over 450,000+ listings globally across 150+ countries, offering world-class tools like the Base Price Help and Minimum Stay Recommendation Engine.
In 2024, we scaled to;
- 450K+ properties syncing daily
- 55K+ customers worldwide
- 220+ globally remote team
- 36% diversity
- SaasBoomi 2021
- The Shortyz 2020
- The Shortyz 2023
- STRive Awards 2025
- We are a remote-first organization and accept work from home as the norm.
- Work with an industry-leading product that has thousands of customers worldwide, and our customers love the product! (NPS in the 70s, Customer reviews here)
- Work with a global team (15 countries and counting) of passionate individuals that accept open communication, empowerment, and a shared focus on customer success.
- We are a freemium product, so marketing leads the charge on customer acquisition.
PriceLabs is an equal-opportunity employer. We are committed to providing equal opportunity in all aspects of employment. We do not discriminate based on race, colour, religious creed, national origin, ancestry, sex, age, veteran status, marital status or physical challenges.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Engineering Jobs
Tags: Airflow Architecture CI/CD Data analysis Data quality DevOps Docker Engineering Flink Kafka Linux MySQL Pipelines PostgreSQL Python RabbitMQ Spark
Perks/benefits: Career development
Regions:
Remote/Anywhere
North America
Country:
United States
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