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Backend engineer on Constructor's Retail Media team designs and maintains Python/FastAPI web services powering ad placements, bidding, and analytics inside ecommerce search results, with AWS CloudFormation/IaC, CI/CD pipelines, and observability tooling. Fully remote; must overlap 11:00–16:00 UTC.
Staff backend engineer on the SABR team owning the request-processing layer of Constructor's e-commerce search platform: designing public APIs and high-traffic, low-latency Python services that orchestrate ranking/retrieval at up to 15k RPS, with architecture ownership, mentoring, and on-call.
Full Stack Engineer on Constructor's Retail Media team, building a customer dashboard web app that connects ecommerce retailers and brands (ad placements, bidding, analytics). Day to day: designing and maintaining features in TypeScript/React with Python/FastAPI backend services.
Senior ML Engineer builds and deploys search and recommendation models using transformers, LLMs, and multimodal approaches to optimize e-commerce discovery and business KPIs at scale.
Senior Backend Engineer on Constructor's ML Infrastructure team, building and operating distributed backend services, data pipelines, and platform components (including LLM/model serving) that let ML and product teams run machine learning at scale. Python is the primary language, with AWS/Kubernetes; fully remote worldwide.
Designs, builds, and maintains scalable backend services using Python, FastAPI, and AWS, with a focus on observability, CI/CD, and ad tech systems.
Compensation: $80k – $110k About us Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search…
Compensation: $80k – $120k About Us 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…
Backend engineer on Constructor's Core team, building and operating the foundational systems of its in-house ecommerce search engine at massive scale (1B+ queries/day). Day to day: designing, scaling, and running high-availability backend services in Rust, C++, and Python on AWS with Prometheus/Grafana observability.
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