Software Engineer - Infrastructure

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 public launch, Emergent has reached $100M ARR in 8 months. 6M+ users across 190+ countries have built 6.5M+ applications on Emergent. We've raised $100M+ , 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 Be Responsible For
Platform & 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 & Incident Response


• Own the observability stack:  Grafana  (dashboards, Loki logs, Prometheus metrics),  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 — job scheduling, trajectory tracking, environment provisioning, deployments and cost attribution

• Develop Kubernetes controllers and operators to extend platform capabilities for agent orchestration

Collaboration & 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


• 4+ 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)

Systems Fundamentals


• 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

Data & Messaging Infrastructure


• Relational databases  — experience with PostgreSQL, MySQL, or similar; indexing, query optimization, replication, and backup/restore procedures

• NoSQL databases  — familiarity with MongoDB, DynamoDB, Redis, or similar for document/key-value workloads

• Caching  — experience with Redis, Memcached, or similar for application and infrastructure-level caching

• Message queues & streaming  — hands-on with Kafka, SQS, RabbitMQ, or similar for event-driven architectures

• Strong SQL skills for debugging and operational queries

Infrastructure & Observability


• Comfortable with the  CNCF ecosystem  — Helm, Kustomize, cert-manager, Ingress controllers, CNI/CSI interfaces

• Hands-on with at least one observability stack (Grafana/Prometheus/Loki, New Relic, Datadog, or similar)

• Familiarity with  GCP  and/or  AWS  — managed Kubernetes (GKE/EKS), networking, IAM, storage, and cloud-native services (SES, SQS, S3, etc.)

• Experience with  CDN/edge platforms  (Cloudflare, CloudFront, or similar)

Nice to Have


• Experience building  Kubernetes Operators  (kubebuilder, operator-sdk, or controller-runtime)

• Experience tuning Kubernetes core components (API server, kubelet, scheduler)

• Familiarity with AI/LLM infrastructure — token management, cost tracking, agent orchestration

• Experience with CI/CD pipelines (GitHub Actions, automated testing, deployment pipelines)

• Infrastructure as Code experience (Terraform, Pulumi, or similar)

• Previous work on large-scale distributed systems or platform-as-a-service

• Startup experience — you thrive in fast-paced, ambiguous environments

What You're Like


• You're a  generalist  who can context-switch between debugging a K8s deployment, setting up a Grafana alert, and configuring CDN rules — all in the same day

• You enjoy solving complex infrastructure challenges and automating away toil

• You dig deep — when something breaks, you find the root cause, not just the workaround

• You communicate clearly and can collaborate effectively in a fast-moving, distributed team

Tech Stack
We don't require previous experience with our entire stack, but enthusiasm for learning is key.
Go · Python · Kubernetes · ArgoCD · Helm · GCP · AWS · Cloudflare · Grafana · Prometheus · Loki · New Relic · PagerDuty · PostgreSQL · MongoDB · Redis · Kafka · GitHub
Why Emergent Labs


• YC S24  backed with strong investor support

• Building at the frontier of AI-powered software creation

• Small team, high ownership, real impact from day one


Benefits and Perks:


• 401(k)

• Health, dental, and vision insurance

• Unlimited Paid Time Off: take the time you need to recharge and come back refreshed

• Flexible Working Hours: work arrangements that fit your life and commitments

Let's build the future of software together.