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Constructor

SaaS search and product discovery platform

Backend Engineer: Retail Media

Backend EngineeringPosted on Nov 12
Full-time

About the Job

Requirements

  • Strong computer science background and familiarity with networking principles.
  • Experience designing, developing, and maintaining high-load real-time services.
  • Proficiency with Infrastructure as Code tools such as CloudFormation or Terraform for managing cloud resources.
  • Hands-on experience setting up and improving CI/CD pipelines.
  • Proficiency in Python.
  • Experience with server-side coding for web services and a good understanding of API design principles.
  • Skill in setting up and managing observability tools such as Prometheus and Grafana, and integrating alert systems such as PagerDuty.
  • Familiarity with Service-Oriented Architecture and knowledge of communication protocols such as protobuf.
  • Experience with NoSQL and relational databases, distributed systems, and caching solutions, including MySQL, PostgreSQL, ClickHouse, and Athena.
  • Experience with a major public cloud service provider such as AWS, Azure, or GCP.
  • Experience collaborating in cross-functional teams.
  • Excellent English communication skills.

Responsibilities

  • Build, deploy, and support services using Python and FastAPI.
  • Write AWS CloudFormation scripts, Jenkins jobs, and GitHub Actions following industry standards.
  • Set up service observability, monitoring metrics, and alerting using Prometheus, Grafana, PagerDuty, and AWS CloudWatch.
  • Implement CI/CD pipelines and separate stability testing.
  • Collaborate with technical and non-technical business partners to develop and update functionalities.
  • Communicate with stakeholders within and outside the team.
  • Design, deliver, and maintain web services in close collaboration with other engineers.

Desired Qualifications

  • Previous experience building ad tech solutions.

About the Company

Constructor

SaaS search and product discovery platform

Constructor.io provides a SaaS search and product discovery platform for ecommerce. It helps large ecommerce brands personalize online experiences and improve key metrics by using customer clickstream data and transformer-based machine learning models to understand and predict user behavior. The platform is API-first, headless, and composable, so it can plug into a company’s existing systems and workflows. It is designed to reduce manual merchandising tasks and empower ecommerce teams to act more strategically and quickly. Unlike many competitors, it emphasizes enterprise-grade integration, strong customer success through dedicated managers, training, performance reviews, and live support, and a subscription-based model that ensures ongoing support and updates. The goal is to help clients optimize digital merchandising, personalize customer experiences, and boost business KPIs such as conversion, revenue, and efficiency.

Company size
1,001-5,000
Company stage
Series B
Total funding
$86.1M
Headquarters
San Francisco, CA
Founded
2015

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