Startups · AI

Software Engineer - Infrastructure

Emergent · San Francisco · On-site

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About Emergent

AI app builder that turns your ideas into monetizable software. Backed by Y Combinator.

About the role

We're hiring builders who want ownership, speed, and impact at global scale.

What they're looking for

  • 3+ years of software/platform engineering experience with production systems
  • Strong proficiency in Go or Python, you write production code in at least one daily
  • Hands-on experience building and deploying services on Kubernetes, not just YAML, you've developed something that runs on K8s
  • Experience with GitOps tooling (ArgoCD, Flux, or similar)
  • Strong networking and DNS fundamentals: TCP/IP, HTTP, load balancing, DNS resolution, TLS, and debugging connectivity issues
  • Solid Linux/OS fundamentals: process management, filesystem, memory, systemd, and comfortable debugging with tools like strace, tcpdump, and netstat
More about this role

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since our public launch, we've crossed $100M in ARR and grown to over 10M users across 190+ countries , who have built 12M+ applications on Emergent. We're backed by Creaegis, Claypond, Sentinel Global, Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

Platform and Infrastructure

  • Maintain stability of our platform consisting of distributed microservices closely interacting with Kubernetes and cloud providers (GCP, AWS)
  • Manage Kubernetes workloads with ArgoCD (GitOps), deploy, monitor, and troubleshoot application syncs, resource trees,...

Read the full posting on Emergent's site ↗

Engineering

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