Software Engineer (Back-end)

ENGRAM Lab; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

ENGRAM Lab is seeking a senior backend engineer in San Francisco to design and implement a scalable memory platform. You will build robust APIs capable of handling millions of memory retrievals daily, optimize PostgreSQL databases, and implement caching strategies to ensure high performance.

You will collaborate with AI/ML teams and set engineering best practices. You will work with AWS/GCP, Docker & Kubernetes, and modern frameworks like FastAPI/Django/Flask, ensuring reliable, scalable

Qualifications

• 5+ years of backend engineering experience.
• 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.

Responsibilities

• Design and implement scalable backend architecture for 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.

Skills

Backend engineering

Python

FastAPI

Django

Flask

PostgreSQL

DB optimization

AWS

GCP

Docker

Kubernetes

Redis

Memcached

API design

Microservices

CI/CD

IaC

Tools

Prometheus

Grafana

RabbitMQ

Apache Kafka

Job description

What You'll Do

• 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

What We're Looking For

• 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

Nice to Have

• 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)