Software Engineer - 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

• 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

• 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)

• 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

• 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

• 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.