Full Stack Engineer at Aperture

Setup: Remote
Type: Full-time
Posted: May 26, 2026

Description

Aperture is seeking a highly experienced and autonomous Full Stack Engineer to lead the development and ownership of their internal Aperture OS platform. This role involves defining the platform's architecture, driving feature development from concept to deployment, managing API and AI/Large Language Model integrations, designing databases, ensuring robust infrastructure and security, and upholding compliance standards. The ideal candidate thrives in a fast-paced, remote-first startup environment, demonstrating strong product instincts and a commitment to continuous improvement.

Required Skills

TypeScript
React
Serverless Functions
Supabase
DNS
Domain Management
SSL/TLS
Hosting Configuration

Additional Information

Required Previous Experiences: Proven track record shipping with AI-first development tools like Lovable or Cursor.
Experience owning a full codebase, not just contributing to one.
Strong command of TypeScript and React on the frontend; and serverless/edge functions for backend logic.
Good working knowledge of Supabase for authentication and database (Postgres).
Experience integrating third-party APIs, especially AI and LLM APIs.
Solid working knowledge of DNS, domain management, SSL/TLS, and hosting configuration.
Experience scaling systems in a multi-tenant SaaS environment, with asynchronous processing such as worker fleets, pub/sub, queues and streams.
A sensible approach to testing: you know what needs a test and what doesn't.
You think about security and data compliance as you build, not as an afterthought.
Strong product instincts: you know the difference between something that works and something that is right.
Ability to set priorities and make tradeoffs without constant direction.
Familiarity with performance marketing, ad creative testing, or growth tooling.
Preferred Qualifications: Background in performance marketing, growth, or adtech, or genuine curiosity about it.
Proficient in using AI tools as a force multiplier, understanding when to trust and verify outputs.