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Software Engineer - Infrastructure

Emergent LabsBangalore, India · Posted 11 months ago
Full-time
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Description

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. We're 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 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:

  1. Daily Meals: Lunch and Dinner provided
  2. Family Insurance: 3 Lakhs worth of coverage for you and your family
  3. Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
  4. Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.

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