Design and implement scalable backend architecture for our memory platform

Build robust APIs that handle millions of memory retrievals per day

Optimize database performance and implement caching strategies

Collaborate with the engineering team on technical architecture decisions

Establish engineering best practices and code quality standards

Work with AI/ML teams to integrate memory retrieval algorithms

Monitor system performance and implement automated scaling solutions

5+ years of backend engineering experience

Strong proficiency in Python and modern web frameworks (FastAPI, Django, Flask)

Experience with PostgreSQL and database optimization

Knowledge of cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes)

Understanding of caching systems (Redis, Memcached) and distributed architectures

Experience with API design and microservices architecture

Strong problem-solving skills and attention to detail

Experience with CI/CD pipelines and infrastructure as code

Experience with AI/ML infrastructure and vector databases

Knowledge of similarity search and embedding systems

Background in high-performance computing or real-time systems

Previous startup or early-stage company experience

Open source contributions

Experience with monitoring tools (Prometheus, Grafana)

Knowledge of message queues (RabbitMQ, Apache Kafka)