Coframe
Agent Platform Engineer
About this role
Build and maintain the core infrastructure powering an AI-first platform, enabling company-wide productivity and scalability. Design systems spanning deployment, security, monitoring, and cost optimization while partnering with both technical and non-technical teams to ship faster and safer.
What you'll do
- Architect and scale internal platforms and AI-driven systems to accelerate development velocity
- Strengthen security, compliance (SOC 2), and production operational readiness
- Enhance CI/CD pipelines, testing frameworks, deployments, and developer environments
- Evaluate, implement, and manage cloud infrastructure and tooling across storage and compute
- Respond to production incidents with immediate fixes and systematic long-term improvements
- Enable teams across the company to build and deploy enterprise-grade systems safely and quickly
What they're looking for
- Kubernetes and container orchestration
- Cloud platforms (AWS, GCP, Cloudflare)
- CI/CD pipeline design and implementation
- ETL and data pipeline development
- Infrastructure-as-code and system design
- Security and compliance (SOC 2)
- AI/ML systems and deployment
- Production incident response and reliability
Benefits
- Unlimited paid time off
- Medical, dental, and vision coverage for employees and families
- Life insurance and disability benefits
- 401(k) plan with company match
- In-office meals
- Gym membership
Opens the official application on the employer’s site. No login required.
Coframe
Coframe builds an AI-powered growth platform that automatically generates, validates, and optimizes web interfaces and features at scale using LLMs and continuous monitoring. The company is hiring Solutions Engineers, AI systems engineers, infrastructure engineers, Product Engineers, and Forward Deployed Engineers to implement customer integrations, build core platform systems, and drive enterprise deployments.
- Website
- coframe.ai
Likely interview questions
- Walk us through a complex infrastructure system you've built and scaled—what were the key challenges around security, reliability, cost, and speed tradeoffs you had to navigate?
- Describe your experience with Kubernetes and CI/CD pipelines. How have you improved deployment velocity while maintaining reliability in production environments?