Senior / Staff Backend Engineer

Hedra•San Francisco, CA

61d

About The Position

About Hedra: Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation — it’s the next evolution of AI-driven content creation. Summary: As a Senior Backend Engineer, you will design, build, and deploy the backend services that power our transformative products, including Create, Stylize, and Studio. You will work with web and video standards to power our suite of web-based video and audio creation / editing tools. You will also dive deep into video container formats and streaming protocols, such as MP4, MKV, HLS, and MP-DASH, and work with tools such as FFMPEG. You will also work on building and deploying backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with SQS, Kafka, 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 for our New York or San Francisco offices.

Requirements

Experience developing scalable services using Python
Experience developing RESTFUL APIs using frameworks such as FastAPI and Pydantic
Familiarity with authentication / authorization, utilizing standards such as oauth2, OIDC, and JWT
Experience working with relational and noSQL datastores (such as DynamoDB)
Experience writing unit and integration tests and working with CI/CD and dev-containers
Experience writing scalable, async code and leveraging asyncio, generators, coroutines
Experience building and scaling cloud-based infrastructure leveraging Kubernetes and EKS
Familiarity with AWS IAM, IRSA, ALB/NLB, route53, S3, lambda
Familiarity leveraging schema-registry, and serialization protocols such as avro, parquet, and JSON-schema
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.
At least 5 years of professional Python or Golang.