What You'll Do
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Design and implement scalable backend architecture for our memory platform
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Build robust APIs that handle millions of memory retrievals per day
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Optimize database performance and implement caching strategies
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Collaborate with the engineering team on technical architecture decisions
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Establish engineering best practices and code quality standards
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Work with AI/ML teams to integrate memory retrieval algorithms
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Monitor system performance and implement automated scaling solutions
What We're Looking For
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5+ years of backend engineering experience
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Strong proficiency in Python and modern web frameworks (FastAPI, Django, Flask)
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Experience with PostgreSQL and database optimization
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Knowledge of cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes)
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Understanding of caching systems (Redis, Memcached) and distributed architectures
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Experience with API design and microservices architecture
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Strong problem-solving skills and attention to detail
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Experience with CI/CD pipelines and infrastructure as code
Nice to Have
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Experience with AI/ML infrastructure and vector databases
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Knowledge of similarity search and embedding systems
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Background in high-performance computing or real-time systems
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Previous startup or early-stage company experience
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Open source contributions
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Experience with monitoring tools (Prometheus, Grafana)
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Knowledge of message queues (RabbitMQ, Apache Kafka)
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