About the Role

As a Backend TypeScript Developer, you will design and maintain reliable, scalable backend systems with a strong emphasis on database design, migrations, SQL optimization, and backend architecture. Your primary focus will be building and optimizing backend services, APIs, and data models that power mission-critical applications. This role is especially suited for engineers who enjoy working with complex datasets, including time-series data.

What You’ll Be Doing

• Designing and implementing backend services using Node.js (NestJS) and TypeScript
• Designing PostgreSQL schemas, queries, and migrations
• Optimizing SQL queries for performance, scalability, and reliability
• Designing and implementing RESTful APIs
• Ensuring backend systems are secure, well-tested, and performant
• Working with time-series data and ensuring efficient data modeling, retention, and query performance
• Participating in architecture discussions and contributing to decisions on scaling and data modeling

What We’re Looking For

We know great candidates don’t fit into neat boxes, but if you bring a mix of the following, we’d love to connect:

• 5+ years of experience with backend development in Node.js/TypeScript (NestJS)
• Advanced SQL skills: query optimization, indexing strategies, execution plans, partitioning, and schema design
• Hands-on experience with database migrations and schema evolution in production systems
• Strong understanding of relational database design and normalization
• Solid knowledge of API design, authentication, and backend architecture patterns
• Experience with debugging, profiling, and performance tuning backend systems
• Hands-on experience with time-series databases such as TimescaleDB and managing time-series workloads at scale

Bonus Points If You Also Have

• Experience with stream processing frameworks such as Apache Flink (or similar technologies like Kafka Streams, Spark Streaming)
• Experience with NestJS, Docker/Kubernetes, or Google Cloud Platform (GCP)
• Familiarity with CI/CD pipelines and DevOps practices