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Performance Engineer – Benchmarking

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Remote from
🌐 Anywhere
Salary
Undisclosed
Department
QA & Testing
Employment
Full Time
Experience
Open level
Published
Apply before
22 Nov 2026
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24
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AI Summary

The role, at a glance.

Supabase is hiring a senior performance engineer to establish rigorous, repeatable benchmarking and profiling practices across its distributed database and cloud platform. The role will build continuous benchmark, load-testing, regression-detection, and triage tooling that product teams can use independently. It requires deep systems knowledge spanning databases, storage, networking, Linux, and cloud infrastructure, plus the ability to diagnose performance bottlenecks. As an early member of a new performance team, this engineer will shape methodology, infrastructure, reporting standards, and how public performance results are communicated.

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 highly specialized systems-performance role requiring ownership of reliable benchmarking infrastructure and root-cause analysis across complex distributed systems. The engineer must also establish new processes and align multiple product, infrastructure, and database teams around performance practices.

Salary analysis

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

Estimated job median (per year)Market rate
$180,000
US market range (per year)$150k–$220k
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 from the senior, full-time performance-engineering scope and typical US-market compensation conventions for this specialty.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a continuous benchmarking system that detects meaningful regressions while minimizing noise?

I would begin with representative, versioned workloads and tightly controlled benchmark environments. I would collect repeated samples, track variance, define statistically meaningful thresholds, and retain system-level metrics and traces alongside benchmark outputs. CI results should link a regression to the relevant code change, environment metadata, and a reproducible rerun workflow.

What steps would you take when a benchmark regression appears after a pull request?

First, I would validate that the result is reproducible and rule out load-generator or environment instability. I would compare benchmark inputs, system metrics, profiles, traces, and query-level behavior against the baseline. Once the affected component is isolated, I would route the finding to the responsible team with evidence, expected impact, and a clear reproduction path.

How do you create benchmark workloads that reflect actual customer behavior?

I would use anonymized aggregate usage patterns, product telemetry where appropriate, and direct input from product teams to identify important operations and scale profiles. The suite should include common workflows, high-impact edge cases, concurrency patterns, and realistic data distributions. I would review and evolve the workloads as product capabilities and customer usage change.

Describe the performance areas you would examine when diagnosing a slow database workload.

I would examine query plans, indexing, lock contention, buffer-cache behavior, WAL activity, storage latency, CPU scheduling, memory pressure, and network overhead. I would correlate database-level observations with host and cloud infrastructure metrics to distinguish query inefficiency from resource contention or environmental issues. The goal is to identify the limiting resource and verify improvement with a controlled rerun.

How would you enable product engineers to self-serve performance testing without compromising measurement quality?

I would provide opinionated tooling with versioned workloads, documented setup, sensible defaults, and automated environment validation. Engineers should be able to run targeted benchmarks locally and from pull requests, while centralized dashboards preserve historical baselines and variance information. Clear guidance, templates, and actionable reports would make correct use easier than ad hoc testing.

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 this role

We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly.

You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase.

What you’ll do

  • Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end).

  • Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change).

  • Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes).

  • Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports.

  • Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements.

  • Enable the company to publish credible, repeatable performance numbers for customers and the market.

  • Help teams self-serve performance testing and make performance a first-class engineering concern.

Problems you might work on

  • Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchmarks directly on PRs or locally while developing a feature.

  • Analyze and eliminate issues with load generators, workloads or benchmark environments to ensure that benchmarks are reliable indicators for actual product performance.

  • Build regression triage tooling that pinpoints what changed (diffing, profiles/traces, query-level attribution).

  • Help product teams so they can analyze the root cause of performance regressions in benchmark environments themselves.

What we’re looking for

  • Deep experience in performance engineering, benchmarking, and profiling of complex distributed systems. Specifically, you have owned benchmarking systems where reproducibility and controlling variance mattered.

  • Strong systems intuition (databases, storage, networking, cloud infrastructure).

  • Comfortable working across product, infra, and database teams.

  • Pragmatic, tooling-oriented mindset with strong communication skills.

  • Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management)

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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