about 1 month ago
New York, NY, USAMid Level / Senior
Responsibilities
- Manage Kubernetes clusters across multiple environments and regions.
- Own infrastructure as code for all resources.
- Maintain and improve CI/CD pipelines and GitOps-based deployments.
- Optimize real-time data pipelines processing billions of events per day.
- Build monitoring, alerting, and observability systems.
- Debug production issues across services.
- Manage cloud costs and capacity planning.
- Collaborate closely with a small engineering team.
Requirements
- 3+ years in a DevOps or platform engineering role in production environments.
- Experience designing and operating large-scale, distributed systems.
- Strong Kubernetes experience in a managed cloud environment.
- Proficiency with infrastructure as code tools like Terraform.
- Experience with GitOps-based deployment workflows.
- Built or maintained observability stacks for logging, metrics, and alerting.
- Calmly handle production incidents.
Benefits
- Full ownership of infrastructure in a small team.
- Engage with real scaling challenges in AI applications.
- Work in an AI-native company impacting leading firms.
- Collaborate closely with engineering in a NYC-based environment.
Tech Stack
KubernetesTerraform
Categories
Data EngineeringDevOps