Overview
SUMMARY:
Full job description
SUMMARY: As a Senior Backend Engineer, you will design, build, and scale the backend systems that power Hedra’s developer platform and inference infrastructure. You’ll build the services and APIs that allow developers and production customers to access, orchestrate, and run first- and third-party visual models at scale. You’ll work across the core platform, building secure, reliable, and scalable Python services on AWS and solving problems around inference orchestration, asynchronous workloads, model routing, authentication, billing, observability, and platform reliability. You’ll work with systems like Postgres, Redis, S3, and DynamoDB while helping evolve the infrastructure as usage and model complexity grow. You’ll work closely with engineers and researchers building physical world models across generation, perception, prediction, and planning, and help turn frontier research into infrastructure that developers can reliably build on. As Hedra expands beyond media generation into the broader class of physical world models, you’ll have significant ownership over the backend systems that make those models accessible at scale. We’re looking for full-time hires to join us 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
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