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.

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

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, covering 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

• Daily Meals: Lunch and Dinner provided

• Family Insurance: 5 Lakhs worth of coverage for you and your family

• 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.