Platform Engineer - Compute Capacity
Supabase is hiring a Platform Engineer - Compute Capacity for a remote role. Level rates it ; you can apply on Supabase.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include Postgres, capacity planning and infrastructure as code.
- Level classifies it as a mid-level role.
- Level lists 60 other open roles at Supabase.
AI in this role
Build and operate compute capacity planning, forecasting, and provisioning automation systems to ensure database scalability.
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 reservations, and quota mechanics
Have some financial fluency — you understand reservation economics and the basic tradeoffs between coverage, utilization, and cost
Communicate clearly across audiences, from engineers to finance stakeholders
What We Offer
Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
~400 team members
60+ countries
20+ languages spoken
Over $1B raised (including our $500M Series F)
540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
How we rate this
Platform Engineer - Compute Capacity at Supabase rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where capacity planning was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where fleet management was part of your work. What did you do?
- Tell me about a project where metrics and alerting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Capacity Planning, Infrastructure As Code, Automation, Fleet Management, and Metrics And Alerting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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