Contract GraphQL Architect
The Motley FoolJob Summary
The Motley Fool is seeking a Contract GraphQL Architect to improve their GraphQL architecture for premium members. The ideal candidate will have extensive experience with Apollo GraphQL, performance tuning, debugging issues in resolvers, and improving the current architecture which serves 40M+ operations every month. They will investigate bottlenecks in GraphQL using DataDog and Apollo Studio, leverage experience building granular authorization systems inside of Apollo GraphQL, and convert a decently large JavaScript database to TypeScript. The candidate should have strong skills in JavaScript, TypeScript, React, NextJS, Python, and DataDog, as well as excellent problem-solving skills and the ability to communicate effectively with cross-functional teams. This is a remote position with an hourly pay range of $85-$95 USD.
Who are we?
We are The Motley Fool, a purpose-driven financial information and services firm with nearly 30 years of experience focused on making the world smarter, happier, and richer. But what does that even mean?! It means we're helping Fools (always with a capital "F") demystify the world of finance, beat the stock market, and achieve personal wealth and happiness through our products and services.
The Motley Fool is firmly committed to diversity, inclusion, and equity. We are a motley group of overachievers that have built a culture of trust founded on Foolishness, fun, and a commitment to making the world smarter, happier and richer. However you identify or whatever winding road has led you to us, please don't hesitate to apply if the description here leaves you thinking, "Hey! I could do that!"
What does this team do?
The Motley Fool US Membership serves over 600,000 paying subscribers, empowering them to become smarter, happier, and richer. In the past 15 months, we have significantly enhanced our technological capabilities to elevate our offerings. This position is ideal for someone who thrives on working with cutting-edge technology and building exceptional products.
What will you do in this role?
We are looking for someone with extensive experience with Apollo GraphQL to assist us in improving our GraphQL architecture for premium members. This would entail performance tuning, debugging issues in resolvers, and improving the current architecture which serves 40M+ operations every month.
Okay, but what will you actually do in this role?
- Investigate and recommend changes to GraphQL schemas to improve querying.
- Provide recommendations for improving performance of GraphQL queries.
- Provide recommendations for caching strategies for a mix of real-time and static data.
- Leverage experience building granular authorization systems inside of Apollo GraphQL and caching data in the appropriate manner.
- Use DataDog and Apollo Studio to investigate bottlenecks in GraphQL (including in downstream REST APIs).
- Leverage experience upgrading to GraphOS.
- Leverage experience implementing and using GraphQL Router for subgraphs.
- Convert a decently large JavaScript database to TypeScript.
- Understand the business and frontend requirements and provide the appropriate data with GraphQL.
What technologies will you use?
- Apollo GraphQL SDK
- Apollo Studio
- Express
- JavaScript/TypeScript
- React/NextJS
- Python
- DataDog
What do you need to apply?
- Extensive experience with Apollo GraphQL to assist us in improving our GraphQL architecture for premium members. This would entail performance tuning, debugging issues in resolvers, and improving the current architecture which serves 40M+ operations every month.
- Deep understanding of the Apollo GraphQL SDK and its capabilities for building scalable and performant GraphQL APIs.
- Proficiency in using Apollo Studio for schema management, performance monitoring, and error tracking.
- Solid experience with Express for building server-side applications and integrating with GraphQL.
- Strong skills in JavaScript and TypeScript for developing robust and maintainable code.
- Familiarity with React and NextJS for understanding the frontend requirements and optimizing GraphQL queries accordingly.
- Knowledge of Python for potential backend integrations and data processing tasks.
- Experience with DataDog for monitoring and troubleshooting application performance, including GraphQL APIs.
- Proven ability to analyze complex systems, identify performance bottlenecks, and implement effective optimizations.
- Excellent problem-solving skills and the ability to dive deep into code to resolve issues and improve functionality.
- Strong communication skills to collaborate effectively with cross-functional teams and convey technical concepts to both technical and non-technical stakeholders.
Compensation:
Below is our target compensation range. While we are budget conscious, we’re also eager to find the right person for this role, so if your target is outside of this range, please don’t hesitate to apply and we’d be happy to have a conversation.
Hourly Pay Range
$85 - $95 USD
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