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Hedra

Posted 13 days ago

Open

Senior Backend Engineer

San FranciscoOn-siteFull-time

AI Summary

Senior Backend Engineer designs, builds, and deploys backend services and APIs powering web-based image/video tools, with a focus on scalable Python code, cloud infrastructure, and data stores in AWS.

About this role

Summary:

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.

Required Experience:

  • 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

Nice to have:

  • 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:

  • Competitive compensation and equity

  • 401k

  • Healthcare (Silver PPO Medical, Vision, Dental)

  • Lunch and snacks at the office

Skills

AWSCI/CDDockerDynamoDBEKSEvent StreamingFastAPIIntegration TestingJWTKafkaKubernetesNVIDIA Hardware ML DeploymentOAuth2OIDCPostgreSQLPydanticPythonRedisREST APIS3SQSUnit Testing

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