Software Engineer - Infrastructure
Emergentlabsinc · San Francisco · 2026-06-29
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. We're backed by 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.
What You'll Do:
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, and rollouts
• Debug and resolve complex Kubernetes issues across clusters
• Manage CDN and edge infrastructure (Cloudflare) for performance, caching, and traffic management
• Automate infrastructure lifecycle operations and workflows
Observability and Incident Response
• Own the observability stack: Grafana (dashboards, Loki logs, Prometheus metrics) and New Relic (APM, golden metrics, transaction analysis)
• Enhance monitoring, alerting, and distributed tracing across services
• Participate in on-call rotation via PagerDuty, handle incident response, and perform root cause analysis
• Proactively identify reliability risks before they become incidents
AI Agent Infrastructure
• Support the platform that runs AI agent workloads including job scheduling, trajectory tracking, environment provisioning, deployments, and cost attribution
• Develop Kubernetes controllers and operators to extend platform capabilities for agent orchestration
Collaboration and Internal Tooling
• Work closely with product and backend teams to ensure platform scalability and reliability
• Build internal tools, automate workflows, and integrate systems to improve team productivity
• Stay current with Kubernetes releases, CNCF ecosystem updates, and cloud-native best practices
What We're Looking For:
Core Requirements
Skills asked for
- microservices
- kubernetes
- gcp
- aws
- argocd
- grafana
- prometheus
- go
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