Design and scale backend systems for Hedra’s developer platform, focusing on Python services and cloud infrastructure.
Posted by employer 3 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Backend Engineer at Hedra, the individual will focus on designing and scaling backend systems that support the company's developer platform and inference infrastructure. Key skills include proficiency in Python, experience with cloud services like AWS, and familiarity with databases such as Postgres and DynamoDB. This position is ideal for seasoned engineers with at least five years of experience in backend development, particularly those interested in transforming advanced research into practical applications. The team is poised for growth as Hedra expands its offerings beyond media generation into more complex physical world models.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Hedra's career page.
- Hedra has 7 other open roles including Research Scientist, Account Executive, Senior Video Producer.
- 6517 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2566 active Kubernetes roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3225 roles). See Python salary trends
Quick facts
- Is the Senior Backend Engineer role remote?
- No — this is an on-site role in San Francisco.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Backend Engineer role.
- Where is the role based?
- Hedra is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, DynamoDB, EKS, FastAPI, JWT, Kafka.
- What seniority level is this role?
- Hedra targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Backend Engineer role at Hedra.
From the original posting
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