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Backend Engineer

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Peppr AI (YC W25)
Full Time position
Listed on 2025-10-08
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, AI Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Backend Engineer role at Peppr AI (YC W25)

This range is provided by Peppr AI (YC W25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

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 Postgre

SQL-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.

  • Design and maintain reliable Postgre

    SQL 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  Looking For
  • 3+ years in backend development with strong Postgre

    SQL 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, Lang Chain, etc.)
  • Experience with cloud infrastructure tools:
    Terraform, Helm, Git Ops
  • 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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Technology, Information and Internet
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