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Founding Backend Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Workwolf
Full Time position
Listed on 2026-06-12
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, DevOps, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

We are hiring a Founding Software Engineer in San Francisco. We are building a small, talent-dense team. This role will define the engineering archetype at Unsiloed AI and set the ceiling for the team. We strongly believe technical DNA compounds (or degrades) with every hire and hence the first few matter disproportionately. You will be expected to operate proactively, take full ownership, and independently drive systems from idea to production.

What

You Will Do

As a Founding Software Engineer, you will own the entire technical stack end-to-end, from core infrastructure and production systems to deployment, reliability, and developer experience.

  • Architect, build, and scale core backend systems powering document intelligence and VLM-based workfows
  • Own production infrastructure end-to-end: deployments, monitoring, performance, reliability
  • Design and operate high-throughput, low-latency services in real production environments
  • Take systems from R&D production enterprise scale
  • Build and maintain cloud and on-prem deployments (Docker, Kubernetes, Helm) for enterprise customers
  • Establish best practices for CI/CD, observability, debugging, and incident response
  • Work closely with the founders and research team to turn research prototypes into production-grade, scalable systems
What We Are Looking For

This role is backend & infrastructure-heavy. You should have most of the following:

  • Experience building and operating scaled production systems
  • Strong backend engineering skills (Python required; C++/Rust is a major plus)
  • Experience with distributed systems (microservices, parallel processing, queues, caches like Redis)
  • Deep familiarity with cloud infrastructure (AWS, GCP, Azure)
  • Hands-on experience with Docker, Kubernetes, Helm, and infrastructure-as-code (Terraform / Pulumi)
  • An ownership mindset
  • Nice to have:
    Experience serving ML / VLM / GPU-heavy workloads
Benefts & Perks
  • Competitive compensation + equity
  • Full health insurance coverage
  • Free company laptop
  • Doordash/Uber credits
Interview Process
  • Pending Approval
  • Initial Chat
  • Technical Coding Round
  • Work Trial
  • Offer Extended
  • Hired
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