Backend Engineer
Peppr AI | Cupertino, California, United States+1 | 3w ago
locations: Cupertino, California, United States · San Francisco, California, United States
$100,000 – $149,998/yr| full-time | on-site | entry | 0+ years | visa sponsorship
skills: postgresql, authentication, authorization, kubernetes, aws, gcp, azure, docker, api frameworks, fastapi, flask, django, encryption, rbac, iam, terraform, helm, gitops, rag, langchain, vector stores, ci/cd
What You'll Do As a founding backend engineer at Peppr AI, you'll architect and build the robust infrastructure that powers our agentic AI platform. You'll design PostgreSQL-based systems, implement secure authentication layers, manage cloud deployment pipelines, and help build the foundational systems that let AI agents interface securely with enterprise data.
Key responsibilities include:
- Design and maintain reliable PostgreSQL schemas, indexes, migrations, and backups
- Build secure auth layers: authentication, fine-grained authorization, and RBAC systems
- Containerize and deploy services on Kubernetes (or similar), integrating with CI/CD tooling
- Monitor production performance, latency, reliability, and security across all systems
- Collaborate on frontend integration and infrastructure improvements
- Bonus: Help architect and build AI agent pipelines and orchestration systems
What We're Looking For We're seeking a builder who can create scalable, secure backend systems that form the foundation for AI-powered enterprise tools. You should have:
Required:
- 3+ years in backend development with strong PostgreSQL experience
- Solid grounding in cloud platforms: AWS/GCP/Azure, Docker, and Kubernetes
- Strong security awareness: authentication, authorization, and encryption best practices
- Familiarity with API frameworks (FastAPI, Flask, Django)
- Excellent collaboration and code review habits with a strong team mindset
Nice-to-Have:
- Hands-on experience with AI-centric pipelines, vector stores, and agent orchestration (RAG, LangChain, etc.)
- Experience with cloud infrastructure tools: Terraform, Helm, GitOps
- Background in production-grade security architectures (RBAC, IAM policies)
- A product mindset and experience shipping end-to-end features
- Comfort with ambiguity and rapid iteration in a startup environment
This role offers the opportunity to shape both our technical architecture and product direction while working on cutting-edge AI infrastructure challenges.
Benefits
health insurance
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