# Performance Engineer - Performance Analysis & Tuning at Supabase

- Company: Supabase (supabase.com)
- Location: Remote, Global (remote)
- Places: Remote
- Posted: 2026-07-28
- Apply: https://jobs.ashbyhq.com/supabase/98ef6a11-9898-4960-9931-1264285849f3
- Page: https://ye.saranatour.dev/jobs/performance-engineer-performance-analysis-tuning-supabase-kn745pmp6wgrc6d2793f8hmvqd8hbb1v

## The posting

Performance Engineer - Performance Analysis & Tuning
Supabase · Remote, Global

## **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're hiring experienced performance engineers to find and land performance wins across the Supabase stack — from the query optimiser to block device level, and across the network paths and cloud infrastructure that connect our distributed platform. This is a performance _delivery_ role: real, measured improvements to our database, platform, and APIs as we scale toward enterprise and platform-grade workloads. The methodologies you develop and tooling you build exist to multiply that delivery.

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 performance engineering works at Supabase.

## What you'll do

- Find bottlenecks in live production systems and characterize them precisely enough that the owning team can act on them without you in the room.
- Partner closely with database teams (e.g. Multigres, OrioleDB) and infra teams to land concrete performance improvements.
- Build, communicate, and evolve performance methodologies and tooling that turn live production data into actionable insight.
- Partner with the observability team to capture the right signals and establish a unified view of platform performance (latency, throughput, tail behavior) across products.
- Help teams self-serve performance analysis and make performance a first-class engineering concern.

## Problems you might work on

- Tune the kernel's paging behavior to production workloads
- Reduce memory overhead in OrioleDB and Multigres
- Identify and eliminate sources of latency spikes from application to kernel level
- Identify scalability bottlenecks across the entire stack and work the appropriate teams in Supabase and the wider community to resolve them

## What we're looking for

- Deep experience in performance engineering, specifically performance analysis of complex distributed systems.
- You can walk the whole stack: follow a tail-latency problem from the query optimizer through the syscall boundary to the IO scheduler — or across pooler hops, network paths, and availability zones — reading profiles and traces at every layer.
- 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)
- Strong working knowledge of networking and cloud infrastructure performance: TCP behavior under load, network virtualization overhead, and the performance characteristics of AWS primitives (EBS throughput and IOPS, instance network limits, placement groups, cross-AZ latency).
- Proven ability to turn performance insights into real product and architecture improvements — including getting teams you don't belong to to prioritize and ship the fix.
- Strong written communication: your problem characterisations are precise, reproducible, and compelling on their own.
- Pragmatic, tooling-oriented mindset; comfort working across product, infra, and database teams.

### **What We Offer**

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