Software Engineer - Infrastructure

About the 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.

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

- 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