Software Engineer (Back-end)

ENGRAM Lab; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

ENGRAM Lab is seeking an experienced backend engineer to design and implement scalable systems for a memory platform. You will craft robust APIs handling millions of retrievals daily, optimize PostgreSQL performance, and implement caching and autoscaling.

You will collaborate with AI/ML teams to integrate memory retrieval algorithms and help set engineering best practices across the stack. This role expects 5+ years of backend experience and strong Python expertise.

Qualifications

• 5+ years of backend engineering experience.
• Strong proficiency in Python and 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.

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.

Skills

Python

FastAPI

Django

Flask

API design

Distributed systems

CI/CD

Tools

PostgreSQL

Docker

Kubernetes

Redis

Memcached

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)