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, 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 S24backed 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.