Requirements

• Cloud & Infrastructure as Code: Hands-on experience building and managing scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation, etc.)
• Software Development: Fluency in Python, Go, or a similar language for infrastructure automation, tooling, or backend development
• Databases: Deep experience operating and tuning enterprise databases at scale
• Containerization: Experience working with containerized environments and orchestration tools (e.g., Docker, ECS, Kubernetes)
• Systems Reliability & Observability: Solid understanding of Site Reliability Engineering (SRE) principles

Nice to Haves

• Observability & Telemetry with Datadog, Prometheus
• AI/ML Infrastructure support
• Cloud Cost Optimization

What You'll Be Doing

• Architecting, deploying, and managing low-latency, highly available storage solutions
• Ensuring sub-second end-user latency, near-zero-downtime reliability, and high throughput across storage engines
• Automating infrastructure provisioning and compute pipelines
• Right-sizing compute/storage resources and managing AWS infrastructure costs
• Operating and tuning enterprise databases at scale
• Working with containerized environments and orchestration tools
• Applying SRE principles in monitoring, alerting, health checks, and performance troubleshooting

Perks and Benefits

You will be at the ground floor of building the data-storage systems that powers our flagship products. You'll solve complex, high-scale infrastructure challenges at the intersection of distributed storage and compute.

This is a hybrid role requiring in-office presence two days per week.