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Supabase is seeking a Platform Engineer to join the Compute team, which owns the critical systems powering project provisioning, scaling, and compute infrastructure that millions of users rely on daily.
You will design, build, and operate robust, highly automated systems that enable Supabase to scale seamlessly across multiple regions, handle high-volume workloads, and deliver low-latency, highly available compute services. Your work will directly impact the core platform that manages millions of databases globally.
Key Responsibilities:
- Build and maintain the Supabase Cloud offering
- Design and implement systems for provisioning, scaling, and managing multi-region compute workloads
- Own the full lifecycle of compute orchestration: project creation, warm pools, autoscaling, resizing, and resource optimization
- Improve automation and observability across the compute stack to ensure high availability and performance
- Optimize system architecture to reduce costs while balancing security, reliability, and performance
- Collaborate cross-functionally with other teams to leverage compute as a core platform offering
- Participate in on-call rotations, incident response, and post-incident reviews
- Resolve escalated support issues and identify systemic platform improvements
About Supabase:
Supabase is a globally distributed, born-remote, open-source-first company with ~400 team members across 60+ countries. The company has raised over $1B (including a $500M Series F) and serves 540,000+ community members. Supabase operates asynchronously and believes in building tools developers love.
Requirements:
- Strong software engineering skills in Go and TypeScript (required)
- 5+ years of experience with cloud infrastructure (AWS required; GCP and Azure experience is a plus), particularly compute, networking, and storage services
- 3+ years of experience building custom Kubernetes controllers and operating large-scale clusters (tens to hundreds of thousands of pods)
- Experience building and operating cloud infrastructure or distributed systems at scale
- Knowledge of networking and multi-region infrastructure design
- Familiarity with PostgreSQL
- Experience with Infrastructure as Code tools (Pulumi highly preferred; Terraform/CDK acceptable)
- Experience with on-call rotations for large production systems
- Experience with QEMU, KVM, and NAS is a plus
