About this role

They are looking for a  Full Stack Engineer to join a 5-member 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.

Key Responsibilities:

The Full Stack Engineer role has the following responsibilities:

• Full-stack development from architecture and specifications to live deployments.
• Ability to understand, translate, break down, 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, and 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.

To apply visit : Full stack Developer