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# Backend Engineer: Ranking

- **Company:** Constructors, Inc.
- **Location:** United States (Remote available)
- **Salary:** $80,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Relational Databases, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, Web Services, Real Time Systems, Caching, Backend, Cloudformation, Infrastructure Automation Frameworks, Machine Learning Operations, Api Design, Terraform
- **Published:** September 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e4fed92885334e71

## About the Role

* Experience in designing, developing & maintaining high-load distributed real-time services (in cloud)
 * Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources.
 * Experience with MLOps is a huge plus (delivering, loading, and serving ML models and related infrastructure)
 * Hands-on experience with setting up and improving CI/CD pipelines
 * Proficiency with Python and, as a plus, compiled languages like C, Rust, or Go.
 * Experience in server-side coding for web services, and a good understanding of API design principles.
 * Experience with NoSQL and relational databases, distributed systems, and caching solutions.
 * Experience with any of the major public cloud formation: AWS (ideally), Azure, GCP

Soft skills:

 * Experience collaborating in cross-functional teams.
 * Excellent English communication skills.

## Description

As a member of the Ranking team, you will improve the e-commerce experience for hundreds of millions of users across the world by designing, delivering & maintaining high-load real-time web services in close collaboration with other great engineers from the Ranking team. The job can consist of, but is not limited to:

 * Build, deploy, and support robust high-load machine learning-based real-time systems for search and browse experiences.
 * Collaborate with technical and non-technical business partners to develop and update ranking functionalities
 * Develop Ranking Platform for internal users (DS and MLE mostly)
 * Optimize current ranking service performance to process requests faster
 * Optimize signals delivery and retrieval (aka Feature Store) for machine learning model inference
 * Communicate with stakeholders within and outside the team


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