• You'll build and own the foundation that our engineering team ships on every day. • Design, deploy, and manage AWS infrastructure: EC2, ECS/Fargate, RDS, DynamoDB, ElastiCache, S3, CloudFront, and more. • Implement and evolve our Infrastructure as Code practices. • Build and maintain CI/CD pipelines using GitHub Actions. • Configure IAM roles, policies, and least-privilege access. • Enforce tagging, cost controls, and guardrails across environments. • Design for resilience — redundancy, backups, and multi-AZ or multi-region strategies where appropriate. • Set up CloudWatch and Datadog metrics, dashboards, and monitors/alarms. • Establish backup, recovery, and disaster recovery strategies. • Work with the Head of Security to ensure the appropriate controls and tests (automated via Vanta) are in place to meet the goals of the security program. • Architect and automate well-separated environments for Dev, QA/Test, Staging, and Production.

• Build and maintain production infrastructure in AWS. • Manage Linux servers. • Operate Kubernetes clusters. • Administer and optimize PostgreSQL databases. • Operate monitoring & observability. • Be part of the on-call rotation for the infrastructure components. • Ownership of the CI/CD process. • Work on improving infrastructure and application security. • Manage CloudFlare, WAF, and DDoS protection solutions to improve our stance in this area.

• Apply SRE principles to Customer Success • Detect issues commonly occurring in the platform • Proactively find improvements in the platform • Work on escalations and longer-running, more complex technical cases • Assist those using the Supabase platform with complex and/or long-running issues • Deliver on synchronous and asynchronous engagements with Supabase customers • Serve as an internal champion for the platform and how customers use it.

• Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services. • Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated. • Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources. • Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing. • Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments. • Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning. • Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle. • Automate the life cycle of single-tenant, managed deployments