Performance Engineer - Performance Analysis & Tuning

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

• Fully Remote

• ESOP

• Tech Allowance

• Health Benefits

• Annual Off-Sites

• Flexible Work

• Professional Development

• ~400 team members

• 60+ countries

• 20+ languages spoken

• 540,000+ community members