Backend Engineer

ONE STOP COLLECTIBLE CORP
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Amazon S3 Computer Networks Continuous Integration Relational Databases Distributed Systems Amazon DynamoDB Identity and Access Management Python (Programming Language) PostgreSQL Machine Learning
+16 more
OpenID Redis Data Streaming Video Editing Cloud Platform System System Availability Backend Fastapi Integration Tests Kubernetes Cloudflare Apache Kafka Route53 Restful APIs Amazon Simple Queue Service (SQS) Docker

Job description

As a Senior Backend Engineer, you will design, build, and deploy the backend services that power our creative brainstorming and creation products. You will work with web and video standards to power our suite of web-based image and video creation / editing tools.

You will also work on building and deploying backend services and APIs to our AWS infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with Postgres, Redis, S3, and DynamoDB to implement event streaming/processing logic.

You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. We’re looking for full-time hires in our San Francisco office.

Requirements

  • Experience developing scalable services using Python, using frameworks such as FastAPI and Pydantic
  • Experience building and scaling cloud-based infrastructure leveraging Kubernetes and EKS
  • Experience working with relational databases
  • At least 5 years of professional experience building backend services, * Experience building high availability services using CI/CD, full ranges of test validation approaches, monitoring and alerting
  • Familiarity with authentication / authorization, utilizing standards such as oauth2, OIDC, and JWT
  • Experience writing unit and integration tests and working with CI/CD and dev-containers
  • Familiarity with AWS IAM, ALB/NLB, route53, S3, Cloudflare
  • Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka
  • Experience architecting and implementing REST APIs for distributed systems
  • Experience with k8s, docker, especially in the context of deploying machine learning models on nvidia hardware

Benefits & conditions

  • Competitive compensation and equity
  • 401k
  • Healthcare (Silver PPO Medical, Vision, Dental)
  • Lunch and snacks at the office

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Good distractions

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Comparing in-memory and Redis storage for cache scalability

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