3 months ago
Responsibilities
- Own Kubernetes and container orchestration on AWS.
- Build and maintain CI/CD deployment pipelines.
- Establish observability and reliability monitoring systems.
- Manage email deliverability infrastructure for AI agents.
- Ensure security and compliance across the infrastructure.
- Optimize costs associated with AI workloads and data pipelines.
- Enhance developer experience through efficient infrastructure.
Requirements
- 6+ years of experience in DevOps, SRE, or infrastructure engineering.
- Deep expertise with Kubernetes and AWS cloud-native architecture.
- Strong CI/CD experience with trusted pipelines.
- Fluent in infrastructure-as-code tools like Terraform or Pulumi.
- Solid understanding of networking, DNS, and security fundamentals.
- Experience with monitoring and observability tools.
- Comfortable scripting in Python, Bash, or Go.
- Experience operating production databases like PostgreSQL or Redis.
- Strong opinions on reliability and incident response.
- Bonus: experience with email infrastructure at scale.
- Bonus: experience supporting ML/AI workloads in production.
- Bonus: startup experience building infrastructure from scratch.
Benefits
- Competitive salary with meaningful equity.
- Flexible location options: San Francisco, New York, or Remote (US).