Senior Backend Engineer
Summary
Senior Backend Engineer at Quo builds and maintains scalable, event-driven microservices in Node.js/TypeScript on AWS/Kubernetes, focusing on AI-driven data insights, user onboarding, and messaging features.
About the Role
Potential areas of focus include:
- Leveraging AI and advanced technologies to help customers manage and derive insights from their data, optimizing the customer onboarding experience.
- Empowering users to independently set up, manage, and scale their accounts with a seamless and compliant process.
- Enhancing core messaging and calling features, improving customer data management, and optimizing the visibility of conversations and contacts.
Technical stack and tools:
- Our backend is built on Node using Typescript.
- We use Kubernetes on AWS to orchestrate our infrastructure setup and deployment.
- The overall architecture is event-driven microservices with RabbitMQ at the center of it.
- We use a variety of databases for different purposes: Postgres, Mongo, Elastic, and Redis.
- Observability Tools: Datadog
- Other Tools: Figma, Linear, Notion, and Slack
About you
- Strong experience with Typescript, or experience with object-oriented languages such as Java or C# and Javascript/Node.
- Strong experience with observability tools, including metrics, structured logging and distributed tracing
- You take ownership of your work and understand the importance of communication. You hold yourself to a high standard and help empower others to do the same.
- You are intentional about how your work impacts customers, the community, and each other. You practice empathy, generosity, and thoughtfulness as you evaluate tradeoffs in pursuit of the best solution.
- You are curious. You better seek to understand the ‘why’ behind things, so that you can better plan and build the ‘how’. You support your teammates and customers through the continuous pursuit of knowledge. You’re a lifelong learner.
- Your code is a pleasure for your teammates to read and understand and you strive to ensure it is readable, testable, and maintainable.. When working in the codebase, you leave things better than you found them.
- You embrace AI and find ways to use it to improve your work, rather than shying away from it.