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About the Role
We are seeking a talented backend engineer to design and implement scalable backend architecture for our memory platform. You will build robust APIs, optimize database performance, and collaborate with engineering teams on technical decisions. This role involves establishing best practices, integrating AI/ML algorithms, and implementing automated scaling solutions.
Responsibilities
- 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
Requirements
- 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
Skills
- Python
- FastAPI
- Django
- Flask
- PostgreSQL
- AWS
- GCP
- Docker
- Kubernetes
- Redis
- Memcached
- API design
- Microservices architecture
- CI/CD
- Infrastructure as code
- AI/ML infrastructure
- Vector databases
- Similarity search
- Embedding systems
- High-performance computing
- Real-time systems
- Monitoring tools
- Prometheus
- Grafana
- Message queues
- RabbitMQ
- Apache Kafka
Experience Level
- 5+ years of backend engineering experience