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 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 - 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 and 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 and streaming: hands-on with Kafka, SQS, RabbitMQ, or similar for event-driven architectures - Strong SQL skills for debugging and operational queries Infrastructure and 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) Good 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 Who You Are: - 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, and GitHub. 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.