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🌐 Remote💼 Full-time💰 $80,000–$80,000🗓 2026-06-25

Core

Designing, delivering, and maintaining high-load real-time web services for e-commerce search and browse experiences to improve product discovery for hundreds of millions of users.

Role type

Senior IC backend engineer (ranking & search)

Builds

High-load machine learning-based real-time systems, ranking platform, and feature store for model inference.

Domain

E-commerce, search, and recommendation systems

Deliverable

production ML models | product features | infrastructure

Required skills

distributed real-time systems, Infrastructure as Code (IaC), CI/CD pipelines, Python, server-side web services, API design, NoSQL and relational databases, caching solutions, public cloud platforms

Preferred skills

MLOps, compiled languages (C, Rust, Go)

Technologies

CloudFormation, Terraform, AWS, Azure, GCP

Responsibilities

Build and support robust high-load ML-based real-time systems; optimize ranking service performance; optimize signals delivery and retrieval for ML model inference; develop ranking platform for internal data science and ML engineering users.

Seniority

Senior, hands-on IC

Rewrite
## About the Team Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. 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 ## Requirements ### Hard skills: - 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. ## Benefits - 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. - 🎉 Regular team offsite events to connect and collaborate. - 🌎 Fully remote team - choose where you live. - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🎓 Training and development budget for every employee, refreshed each year. - 👶 Maternity & Paternity leave for qualified employees. - 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary ## Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities.
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