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🌐 Remote💼 Full-time🗓 2026-06-25

Core

Building a marketing intelligence platform for e-commerce brands and agencies by unifying marketing, advertising, website, and customer data to power reporting, attribution, and AI-driven insights.

Role type

Mid-level Full-Stack Engineer

Builds

Marketing intelligence platform features, APIs, dashboards, reporting flows, and integrations for e-commerce brands and agencies

Domain

E-commerce, Marketing Technology, Data Analytics

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Python, Django, PostgreSQL, JavaScript, TypeScript, Angular, React, REST APIs

Preferred skills

JavaScript tags/pixels, browser cookies/local storage, Shopify, Meta Pixel, Google Tag Manager, GA4, AWS, Jenkins, Sentry, Prometheus, Grafana

Technologies

Python, Django, PostgreSQL, JavaScript, TypeScript, Angular, React, AngularJS, AWS, Jenkins, Sentry, Prometheus, Grafana

Responsibilities

Build and maintain backend services using Python and Django; Work with PostgreSQL models, queries, indexes, and data workflows; Build and improve frontend features using JavaScript, TypeScript, Angular/React/AngularJS; Develop APIs, dashboards, reporting flows, integrations, and internal tools; Work on JavaScript tags, pixels, and browser-based event tracking; Debug issues across frontend, backend, database, APIs, and tracking flows; Use AI tools to accelerate software design, development, testing, debugging, documentation, and release readiness

Seniority

Mid-level, hands-on IC

Rewrite
## About LayerFive LayerFive is building a marketing intelligence platform for e-commerce brands and agencies. Our platform unifies marketing, advertising, website, and customer data to power better reporting, attribution, audience intelligence, and AI-driven insights. We are looking for a mid-level Full-Stack Engineer to join our remote engineering team in India. ## Role Overview You will work across the LayerFive platform — backend, frontend, database, integrations, and JavaScript tracking/pixels. This is a hands-on engineering role for someone who can build product features, solve technical problems, work with existing code, and use AI tools to move faster without compromising quality. You will report to an Engineering Lead. ## Core Skills We are looking for someone with strong experience in: - Python - Django - PostgreSQL - JavaScript / TypeScript - Angular, React, or AngularJS - REST APIs and full-stack application development Strong Angular or React experience with willingness to work on AngularJS is acceptable. ## What You Will Do - Build and maintain backend services using Python and Django. - Work with PostgreSQL models, queries, indexes, and data workflows. - Build and improve frontend features using JavaScript, TypeScript, Angular/React/AngularJS. - Develop APIs, dashboards, reporting flows, integrations, and internal tools. - Work on JavaScript tags, pixels, and browser-based event tracking. - Debug issues across frontend, backend, database, APIs, and tracking flows. - Collaborate with product and engineering teams to ship practical, customer-facing features. - Use AI tools to accelerate software design, development, testing, debugging, documentation, and release readiness. - AI Tool Fluency: Can demonstrate how the candidate usage AI tools to improve efficiency and quality We are looking for someone who uses AI as an engineering accelerator, not as a replacement for technical judgment. ## Nice to Have - Experience with JavaScript tags, tracking pixels, analytics scripts, or website event collection. - Experience with browser cookies, local storage, session tracking, or visitor identifiers. - Experience with Shopify, Meta Pixel, Google Tag Manager, GA4, Meta Ads, Google Ads, Klaviyo, or similar tools. - Experience with SaaS, marketing technology, analytics, e-commerce, or data-heavy products. - Experience with AWS, Jenkins, Sentry, Prometheus, or Grafana. ## Who Will Do Well You will thrive in this role if you: - Are a practical full-stack engineer. - Can work across frontend, backend, and database layers. - Are comfortable with evolving startup requirements. - Can work with existing code and improve it over time. - Communicate clearly and take ownership. - Are curious, resourceful, and comfortable using AI tools in your daily workflow.
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