Performance Engineer - Performance Analysis & Tuning

• 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.

• 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.

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.

• 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.

• 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