Platform Engineer

Mid-level Platform & Infrastructure role at Supabase. Remote · full-time.

devopsroles summary, based on the employer's posting.

What you'll do

- Shape regional capacity plans across compute types, balancing expected demand with available supply - Model buffer targets and cost tradeoffs, then build automation for reservations, fleet alignment and drift checks - Track saturation, reservation coverage, idle capacity, forecast accuracy and provisioning time through metrics and alerts - Route major customer commitments, launches, migrations and new regions through capacity planning before fleet changes - Improve utilization and cost through right-sizing, instance moves, autoscaling and incident follow-up

What you bring

- At least five years in infrastructure, SRE, platform or capacity engineering - Production software experience operating a service, plus fluency in a modern language such as TypeScript, Python or Go - Hands-on Infrastructure as Code experience with Pulumi, Terraform or another listed tool - Working knowledge of AWS EC2 capacity reservations, instance options and quota rules

Who this fits

This role suits an engineer comfortable making and revising plans when forecasts are incomplete, and explaining tradeoffs to engineering and finance audiences. It is fully remote, with global hiring and asynchronous work.

From the employer

About Supabase

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

About the Role

We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there.

You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room.

You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage.

What You'll Be Responsible For

Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families

Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off

Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity

Extend our infrastructure as code for capacity-relevant provisioning

Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency

Build and tune capacity alerting so headroom, quota, and reservation issues surface months out rather than at the moment of impact

Support the demand gate — helping intake large customer commitments, launches, migrations, and new regions so they reach the plan before they reach the fleet

Contribute to mitigation projects: right-sizing, instance-family migrations, autoscaling improvements, workload consolidation

Help drive down compute cost per database through right-sizing, placement, and commitment coverage work

Participate in capacity incident response and post-incident follow-through

You Might Be A Good Fit If You

Have 5+ years across infrastructure engineering, SRE, platform, or capacity engineering, ideally at SaaS or cloud infrastructure scale

Have production software engineering experience — you've owned and operated a service, not just a notebook. Comfortable in modern languages like TypeScript, Python, and Go

Are comfortable working against forecasts and assumptions that are incomplete, and can revise your work as those assumptions change

Have experience with Infrastructure as Code (Pulumi or Terraform)

Have built or maintained observability for systems you own — metrics that answer real questions and alerting people trust (Prometheus/Grafana, CloudWatch, or similar);

Have solid working knowledge of AWS EC2: instance families and generations, purchase options, capacity r