Backend Engineer, Ranking & Personalization (Remote)

March 19

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Constructor

Ecommerce product search and discovery that increases revenue, conversions, and profit.

Search • E-commerce • Product Discovery • Personalization • SaaS

51 - 200

💰 $55M Series A on 2021-09

Description

• A primary focus of this job is to design, deliver & maintain highload real-time web services in close collaboration with other great engineers from the Ranking & Personalization team. The job can consist of, but is not limited to: • Build / deploy / support robust highload real-time (ML) system(s) for personalized search and browse experiences. • Collaborate with technical and non-technical business partners to develop / update ranking functionalities • Optimize current ranking service performance to process requests faster • Optimize signals delivery and retrieval (aka Feature Store) for ML models inference • Communicate with stakeholders within and outside the team

Requirements

• Experience in designing, developing & maintaining highload distributed real-time services (in cloud) • Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources. • Hands-on experience with setting up and improving CI/CD pipelines • Proficiency with Python and, as a plus, compiled language like C, Rust, or Go. • Experience in server-side coding for web services, and a good understanding of API design principles. • Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty. • Familiarity with Service-Oriented Architecture, knowledge of communication protocols like protobuf & familiarity with networking 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 • Experience collaborating in cross-functional teams. • Excellent English communication skills. • Enjoy helping others around you grow as developers and be successful • Pick up new ideas and technologies quickly, love learning and talking to others about them • Love to experiment and use data and customer feedback to drive decision making

Benefits

• Unlimited vacation time — we strongly encourage all of our employees take at least 3 weeks per year • A competitive compensation package including stock options • Fully remote team — choose where you live • Apple laptops provided for new employees • Training and development budget for every employee, refreshed each year • Parental leave for qualified employees • Work with smart people who will help you grow and make a meaningful impact • Compensation: base range of 90-105K USD + stock options • Work from home stipend! We want you to have the resources you need to set up your home office • *drum roll* Company Retreat to Canary Island (if joined to team before AUG 1)

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