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Full Stack Engineer at Pareto, Remote (United States)

We’re seeking a Full Stack Engineer to join our platform engineering team. You’ll play a pivotal part in developing the next-generation human data collection infrastructure for AI/ML development, driving product strategy, and directly impacting our startup trajectory.

You’d be a great fit at Pareto if:

• You value dedicated teamwork, respect, and curiosity, as well as navigating communication in cross-functional, culturally diverse environments.
• Engineering excellence is your pursuit, demonstrated by your solid understanding of modern front-end technologies (React) and back-end libraries (Django).
• You are not content with the status quo and consistently seek innovative solutions to existing problems, with a commitment to personal and collective growth.

Key responsibilities:

• Full-stack development from architecture and specifications to live deployments.
• Ability to understand translate, breakdown and estimate the product roadmap into features.
• Lead user testing sessions with stakeholders on some of the features you implement.
• An understanding of optimization, security and an eye for code cleanliness.
• Contribute to maintaining a best-in-class quality pipeline, encompassing Linting, CI/CD, and usability tests.

What you’ll need:

• Ambition to be consistently testing and optimizing code and queries.
• 2+ years of professional experience with enterprise architecture and a deep understanding of REST/GraphQL API patterns.
• Proficiency in React or a recent JavaScript Framework, as well as knowledge of Storybook and CSS preprocessors.
• Professional experience with Django
• Experience with Webpack bundler and optimizing builds, or the ambition to jump in and learn.
• Knowledge of different database systems (RDBMS) — we use Postgres
• Understanding of securing API endpoints and microservice architecture challenges.
• Familiarity with product and design lifecycles, collaborating with designers and product managers.
• Proven ability to write high-quality, well-tested, and maintainable code.
• Familiarity with current trends and best practices.
• Excellent communication skills and ability to work in a fast-paced environment.

Nice to have:

• Familiarity with GraphQL — such as usage of Apollo, Relay or Graphene.
• Familiarity with Celery, Redis, Webpack.
• Dev ops experience — we have automated pipelines that build AWS clusters.
• Familiarity with or an interest in improving developer tooling — we’re currently running a one-command setup for a full-blown local dev environment that mimics prod!
• Exposure to data science or data engineering.

Our stack:

Backend:

• Django 5
• Python 3.12
• Celery
• Redis

Frontend:

• React 18.2

Infra (AWS):

• Fargate
• ECS
• RDS