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Platform Engineer – Compute Capacity

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Remote from
🌐 Anywhere
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
24 Nov 2026
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13
Application actions
1
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AI Summary

The role, at a glance.

Supabase is seeking a senior platform engineer for its Compute Capacity team to plan, provision, and optimize compute capacity across cloud regions. The role builds automation for reservations, fleet reconciliation, drift detection, infrastructure provisioning, and capacity forecasting. It also develops observability and alerting for headroom, quotas, reservation coverage, and provisioning latency while participating in incident response and cost-optimization work. Candidates need substantial infrastructure, SRE, or platform engineering experience, strong AWS EC2 knowledge, infrastructure-as-code expertise, and the ability to communicate with both engineering and finance stakeholders.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior infrastructure role involving production capacity planning at large SaaS scale, AWS reservation economics, forecasting uncertainty, and reliability-sensitive automation. The engineer must make technically and financially consequential decisions with incomplete information.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$175,000
US market range (per year)$150k–$210k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence and USD market estimate are inferred for a senior US-market platform/capacity engineering role with 5+ years of infrastructure and AWS expertise.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a capacity-planning process for compute infrastructure across multiple regions?

I would combine demand forecasts, growth scenarios, committed customer launches, historical utilization, and vendor lead times into a regional capacity model. I would define explicit headroom targets by instance family and criticality, review assumptions regularly, and use automated reconciliation to compare planned, reserved, and running capacity.

How would you detect and remediate drift between reserved and running AWS EC2 capacity?

I would build a scheduled reconciliation service that inventories reservations, instances, utilization, availability zones, and account quotas, then compares those data points to the approved capacity plan. It should classify drift by severity, alert on meaningful gaps, and automate safe top-ups or create tracked remediation work for exceptions.

Which metrics would you use to monitor capacity health?

I would monitor available headroom, forecast error, reservation coverage, reservation utilization, idle buffer, quota consumption, provisioning lead time, failed provisioning attempts, and saturation by region and instance family. Alerts should focus on time-to-exhaustion and forecasted breaches rather than only current utilization.

How do you evaluate the tradeoff between capacity resilience and cloud cost?

I would quantify the cost of buffer capacity against the operational and customer impact of shortages, then set differentiated buffer policies for critical workloads, volatile demand, and long vendor lead-time resources. Reservation coverage should be based on stable baseline demand, with flexible on-demand or savings mechanisms for uncertain growth.

Describe how you would handle a capacity incident caused by an unexpected demand spike.

I would first establish the affected regions, instance families, available headroom, quotas, and customer impact. I would coordinate immediate mitigation through safe capacity acquisition, workload placement or right-sizing actions, and clear stakeholder communication, then complete a post-incident review to improve forecasting, alert thresholds, buffer policy, and automation.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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.

Apply now >

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