2 months ago
San Francisco, CA, USAMid Level
Base Salary
$180k - $300k/yr
Responsibilities
- Design, build, and operate reliable backend services and APIs.
- Own technical projects from architecture through production deployment and ongoing operation.
- Build systems that process high volumes of events, experiments, and customer data.
- Improve platform interoperability, reliability, performance, observability, and scalability.
- Make architectural decisions balancing speed, simplicity, and long-term maintainability.
- Translate real-world needs into reusable platform capabilities with product and customer-facing teams.
- Establish engineering standards and shape Coframe’s technical foundation.
Requirements
- 3+ years of experience building and operating backend systems in production.
- Strong software engineering fundamentals and experience designing distributed or data-intensive systems.
- Proficiency in Python or another modern backend language.
- Experience building APIs, services, databases, and asynchronous workflows.
- Track record of owning meaningful technical projects from conception through production.
- Strong judgment regarding system design, reliability, and technical tradeoffs.
- Clear communication, collaboration, and comfort working with ambiguity and limited structure.
- Experience at an early-stage or high-growth startup.
- Familiarity with AWS, Kubernetes, Docker, Kafka, and Postgres.
- Familiarity with evaluation systems, observability, orchestration, or distributed task execution.
- Experience with systems where correctness, latency, and reliability directly affect customer experience.
Benefits
- Flexible unlimited paid time off.
- Medical, dental, and vision benefits for employees and families.
- Life insurance and disability benefits.
- 401(k) plan with Coframe match.
- Meals covered in the office.
- Gym membership.
- Primarily in-person work in San Francisco, five days per week.
Categories
About Coframe
Coframe builds AI software that lets product and engineering teams ship living user interfaces that adapt and improve themselves across web and mobile. Its platform trains and runs multimodal models to optimize UI flows for humans and agents, delivered as tools and APIs. The company is privately held, headquartered in San Francisco, and raised a seed round in 2024.