Software Engineer, Retool

• We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious
• This is the right role for someone who thrives while making sense of the blurry space at a high growth startup
• Experience in scaling and optimizing relational databases (Postgres preferred) for high throughput and availability
• Strong understanding of query performance tuning, indexing strategies, vacuuming, connection pooling, and replication
• Experience with caching technologies such as Redis, Memcached, or CDN-based edge caching
• A pragmatic, problem-solving approach to balancing performance, reliability, and maintainability
• Strong organizational skills with high attention-to-detail and able to work independently with minimal supervision
• Ability to thrive in a high-energy, high-growth, fast-paced, entrepreneurial environment. Willing to learn new skills and implement new technologies

Desirable

• We’re looking to hire engineers to help us build out our storage ecosystem to serve the needs of our business today and for broader scale years from now
• As a member of the Core Infrastructure team, you will build and optimize foundational systems that power our databases, caching, and data storage architecture for reliability, security, performance, and scalability
• Whether you prefer working across a broad scope or diving deep into specific areas, we offer opportunities for both
• You will work cross-functionally, supporting the engineering, product, customer success, and sales functions to ensure Retool’s storage infrastructure is fast, efficient, and resilient
• Scale Retool’s database and caching infrastructure to ensure high availability, low latency, and global performance
• Evolve our storage infrastructure to scale for both cloud and on-premise deployments
• Design and build systems, tooling, and automation to improve database performance, including query execution, indexing strategies, and efficient storage management
• Work collaboratively with backend engineers on data access patterns, ORM/DAO layers, and schema design to improve performance and maintainability
• Build and maintain observability and monitoring tools for our storage systems, ensuring visibility into performance bottlenecks