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Senior Front End Engineer (React/TypeScript)

Materialize is the streaming SQL database company that makes it easy for any developer or analyst to understand streaming data, answer complex questions and build intelligent applications using standard technology. Whether it's delivering personalized experiences, accurately identifying fraud, building predictive AI, or discovering new business opportunities, the ability to run complex queries on multiple streams of data and keep their answers up to date is critical to making better decisions about the changing world around us.

We are focused on bottom-up developer adoption, our core software is free to use and source available, our business model is a cloud product that handles management of Materialize and lets businesses focus on building value. We have a vibrant developer community on Slack and as much as possible we work in public on GitHub.

Who We Are:

The Materialize team includes engineers who were early employees of Cockroach Labs, Flink, Dropbox, and YouTube. Our work builds on top of Timely Dataflow and Differential Dataflow, both created by our co-founder Frank McSherry, a world-leading computer scientist with decades of award-winning research in all aspects of data.

Investors:

Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners. Additional investors include executives from Cockroach Labs, Datadog, and Rubrik.

About the Role:

Materialize Cloud is currently in early, rapid development, but it will soon become the primary way for customers to use Materialize. The user interface for Materialize Cloud will help new users become productive with their data workflows and understand the work Materialize is doing on their behalf. Our first audience has been highly technical engineers deploying the Materialize binary themselves. Our hope is that through the Cloud UI we will make the product accessible to data scientists and others with SQL expertise as well.

Our second Front End Engineer will have the opportunity to shape the technology and vision for the Cloud UI. We currently use React and TypeScript for the frontend. On the backend, we use Python and Django as a bridge between the UI and our cloud infrastructure. Our tech stack will evolve over time, so we're looking for people who are excited about learning new technologies.

You will:

- Work on the frontend (and backend, if desired) for the Materialize Cloud web UI.
- Coordinate with other user-facing colleagues in developer experience, product, and marketing.
- Influence the Cloud roadmap.
- Help make sense of technical concepts with a human-friendly, reasonably attractive interface.

You should have:

Experience with React and TypeScript.
Experience writing modern web applications.
Ability to write substantial new feature code.
A bias toward simple and sustainable solutions to technical challenges.
Comfort making technology decisions that will stand the test of time.
Track record of picking up new technologies and skills quickly.
Working knowledge of computer science basics, such as basic data structures and algorithms.
Ability to prototype new concepts quickly and iterate for rapid feedback.

Bonuses:

Experience with Python
Experience with Django
Experience with data visualization
Knowledge of databases and/or streaming data processing
Knowledge of web performance best practices
Experience with frontend tooling: builds, linting, deployment, testing, etc.
Experience with developing human-friendly abstractions for deeply technical products

We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.

Materialize Glassdoor Company Review

5.0

Materialize DE&I Review

5.0

CEO of Materialize

Arjun Narayan

Approve of CEO

By Materialize

The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing.

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