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Software Engineer - Full Stack

North America

July 1, 2026 at 1:38 PM

✨ AI summary

Location

  • Boston, MA

Languages

  • JavaScript/TypeScript
  • Node.js
  • Python
  • Go

Frameworks

  • React
  • Jest
  • Cypress
  • Playwright

Cloud Services

  • AWS
  • Docker
  • Kubernetes

Databases

  • PostgreSQL
  • MySQL
  • Redis
  • MongoDB

Experience Level

  • 3-6 years
About The Role

The role is responsible for building and scaling user-facing applications and the underlying services that power them. This position sits at the intersection of frontend user experience and robust backend system design, contributing to a high-volume platform used by millions of customers.

The engineering team focuses on shipping high-quality features rapidly, leveraging modern component libraries on the frontend and highly scalable, event-driven architectures on the backend.

Key Responsibilities

  • Design and implement responsive, high-performance web applications using React, TypeScript, and state management libraries
  • Build and maintain robust backend REST and GraphQL APIs using Node.js, Go, or Python
  • Optimize application performance, resolving database bottlenecks, caching issues, and rendering latency across the stack
  • Collaborate with product managers and designers to translate product requirements into robust, deployable technical architectures
  • Write comprehensive unit, integration, and end-to-end tests using frameworks like Jest, Cypress, or Playwright
  • Deploy and maintain scalable services on cloud infrastructure, utilizing Docker, Kubernetes, and AWS services

What We Are Looking For

  • 3-6 years of professional software engineering experience building and deploying production-grade web applications
  • Strong proficiency in JavaScript/TypeScript and deep experience with modern frontend frameworks, preferably React
  • Solid experience with backend development languages such as Node.js, Python, or Go, and designing RESTful APIs
  • Experience working with relational databases (PostgreSQL, MySQL) and NoSQL databases (Redis, MongoDB), including schema design and query optimization
  • Familiarity with containerization (Docker) and modern CI/CD deployment pipelines
  • Bonus: Experience with GraphQL federated graphs, serverless architectures, or monitoring tools like Datadog