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 ForPlatform & InfrastructureMaintain 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 rolloutsDebug and resolve complex Kubernetes issues across clustersManage CDN and edge infrastructure (Cloudflare) for performance, caching, and traffic managementAutomate infrastructure lifecycle operations and workflowsObservability & Incident ResponseOwn the observability stack: Grafana (dashboards, Loki logs, Prometheus metrics), New Relic (APM, golden metrics, transaction analysis)Enhance monitoring, alerting, and distributed tracing across servicesParticipate in on-call rotation via PagerDuty, handle incident response, and perform root cause analysisProactively identify reliability risks before they become incidentsAI Agent InfrastructureSupport the platform that runs AI agent workloads — job scheduling, trajectory tracking, environment provisioning, deployments and cost attributionDevelop Kubernetes controllers and operators to extend platform capabilities for agent orchestrationCollaboration & Internal ToolingWork closely with product and backend teams to ensure platform scalability and reliabilityBuild internal tools, automate workflows, and integrate systems to improve team productivityStay current with Kubernetes releases, CNCF ecosystem updates, and cloud-native best practicesCore RequirementsWhat We're Looking For4+ years of software/platform engineering experience with production systemsStrong proficiency in Go or Python — you write production code in at least one dailyHands-on experience building and deploying services on Kubernetes — not just YAML, you've developed something that runs on K8sExperience with GitOps tooling (ArgoCD, Flux, or similar)Systems FundamentalsStrong networking and DNS fundamentals — TCP/IP, HTTP, load balancing, DNS resolution, TLS, and debugging connectivity issuesSolid Linux/OS fundamentals — process management, filesystem, memory, systemd, and comfortable debugging with tools like strace, tcpdump, and netstatData & Messaging InfrastructureRelational databases — experience with PostgreSQL, MySQL, or similar; indexing, query optimization, replication, and backup/restore proceduresNoSQL databases — familiarity with MongoDB, DynamoDB, Redis, or similar for document/key-value workloadsCaching — experience with Redis, Memcached, or similar for application and infrastructure-level cachingMessage queues & streaming — hands-on with Kafka, SQS, RabbitMQ, or similar for event-driven architecturesStrong SQL skills for debugging and operational queriesInfrastructure & ObservabilityComfortable with the CNCF ecosystem — Helm, Kustomize, cert-manager, Ingress controllers, CNI/CSI interfacesHands-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 HaveExperience 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 orchestrationExperience 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-serviceStartup experience — you thrive in fast-paced, ambiguous environmentsWhat You're LikeYou'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 dayYou enjoy solving complex infrastructure challenges and automating away toilYou dig deep — when something breaks, you find the root cause, not just the workaroundYou communicate clearly and can collaborate effectively in a fast-moving, distributed teamTech StackWe 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 GitHubWhy Emergent LabsYC S24 backed with strong investor supportBuilding at the frontier of AI-powered software creationSmall team, high ownership, real impact from day oneBenefits And Perks401(k)Health, dental, and vision insuranceUnlimited Paid Time Off: take the time you need to recharge and come back refreshedFlexible Working Hours: work arrangements that fit your life and commitmentsLet's build the future of software together.