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Brandlight

Senior Full Stack Engineer

Posted 5 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Office, Machaze, Manica
Senior level
Remote or Hybrid
Hiring Remotely in Office, Machaze, Manica
Senior level
Own full-stack product modules from concept through production, including scalable data models, APIs, ETL/ELT pipelines, backend services, and polished data-intensive interfaces. Improve performance, data quality, reliability, and delivery across the stack. Partner with product and design, make architectural decisions, and operate applications and pipelines in the cloud using CI/CD, testing, monitoring, and production debugging.
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About Brandlight

Brandlight is the leading enterprise AI visibility platform, built to help the world’s leading brands understand, manage, and optimize how they appear across AI-driven search, commerce, and advertising.

As AI rapidly becomes a trillion-dollar marketing and distribution channel, Brandlight is defining the systems that decide how brands are surfaced, trusted, and chosen.

Join our team and help build the next generation of tools shaping the future of brand management in an AI-first world.

About the Role

We’re looking for a Core Full-Stack Engineer who combines strong product instincts, deep engineering skills, and the ability to move fast without compromising on execution quality.

You’ll be a primary technical driver, taking significant product modules from concept through design, architecture, implementation, and production. You won’t just implement finished specifications, you’ll partner with product and design to shape the solution, make technical decisions, and own delivery across the entire stack.

Your work will turn complex, large-scale data into fast, intuitive products for Fortune 500 marketing teams. You’ll build across the entire data and application stack—from data ingestion and ETL pipelines to scalable backend services, polished interfaces, and responsive visualizations. This role combines full-stack development with hands-on data engineering, owning how data is collected, transformed, stored, and served to make exploring datasets with billions of records feel effortless.

This is a hands-on role for someone who has driven meaningful product development in a fast-growing startup and is comfortable taking ownership before every requirement has been defined.

Responsibilities
  • Own complete product modules from concept to production.

  • Build and own production data pipelines.

  • Design scalable data models and APIs.

  • Build fast, polished, data-intensive interfaces.

  • Drive performance across the entire stack.

  • Ensure data quality and reliability.

  • Create reusable product foundations.

  • Own production reliability and safe delivery.

  • Lead through hands-on execution.

Requirements
  • 5+ years of experience building and shipping data-intensive production web applications, with substantial hands-on responsibility across frontend and backend development.

  • A proven track record as a primary technical driver at a fast-growing startup.

  • Strong React, TypeScript, and frontend engineering skills.

  • Strong backend engineering skills, including API design, service architecture, caching, asynchronous processing, and integrating external systems.

  • Hands-on data engineering experience, including building, deploying, and maintaining production ETL/ELT pipelines.

  • Strong SQL and data modeling skills, with experience preparing and serving large datasets for analytical workloads.

  • Demonstrated ability to diagnose and improve performance across the stack.

  • Experience deploying and operating applications and data pipelines in a cloud environment, including CI/CD, automated testing, containerization, logging, monitoring, and production debugging.

  • Strong product judgment, clear communication, and proactive ownership.

Why join us

At Brandlight, you’ll build and shape a new category at the intersection of AI, marketing, and commerce.

We’re a fast-growing startup led by repeat entrepreneurs, world-class engineers, and marketing leaders, all driven to reinvent how brands are built, discovered, and chosen in the age of AI.

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