Senior Database Software Engineer

Product-based mindset with customer empathy. Proficient in Python/Django. Database depth as a superpower: proven expertise in query optimization, indexing strategies, schema design, and performance tuning (PostgreSQL preferred). Systems thinking: ability to reason about domain boundaries, dependencies, and long-term architecture within a monorepo context. Mentorship ability: communicates trade-offs clearly, helps elevate team skills, and guides less experienced engineers in database best practices. Experience with distributed/asynchronous systems that improve reliability and scale (e.g., messaging queues, background tasks, observability). Full-stack software development experience (React, Rust, Django/Python) - Nice to have. Experience with distributed/asynchronous systems: working knowledge of messaging queues (RabbitMQ, Dramatiq), background task orchestration, and observability - Nice to have. Data modeling across systems - Nice to have. Cloud-native familiarity: exposure to Redis, Kubernetes, AWS (especially RDS/managed Postgres) - Nice to have. Background in CRM integrations, particularly working with APIs from platforms like Salesforce or HubSpot - Nice to have. Prior staff-level or architecture influence: experience making technical decisions that shaped domain boundaries or scaling strategies.

Contribute across the stack while owning data layer optimization and scalability. Design data models and optimize queries. Shape system boundaries. Mentor others. Influence architectural decisions. Integrate data from third-party APIs. Design ETL-like pipelines. Handle rate limits, retries, and deduplication. Work with CRM APIs (Salesforce, HubSpot).