Summary
A Senior Backend Engineer is sought to design, build, and deploy scalable backend services for web-based creative tools. The role emphasizes secure Python development, cloud infrastructure, Kubernetes, APIs, relational and NoSQL databases, and event-driven processing, with close collaboration between engineering and research teams.
Highlights
Work with experienced engineers and researchers on novel creative technology, building secure and scalable backend services and cloud infrastructure. The role offers substantial ownership across APIs, distributed processing, databases, and modern cloud systems.
Description
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 PydanticExperience building and scaling cloud-based infrastructure leveraging Kubernetes and EKSExperience working with relational databasesAt 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 alertingFamiliarity with authentication / authorization, utilizing standards such as oauth2, OIDC, and JWTExperience writing unit and integration tests and working with CI/CD and dev-containersFamiliarity with AWS IAM, ALB/NLB, route53, S3, CloudflareExperience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or KafkaExperience architecting and implementing REST APIs for distributed systemsExperience with k8s, docker, especially in the context of deploying machine learning models on nvidia hardware
Benefits:
Competitive compensation and equity401kHealthcare (Silver PPO Medical, Vision, Dental)Lunch and snacks at the office
Compensation Range: $175K - $275K
