Performance Engineer - Performance Analysis & Tuning
Supabase is hiring a Performance Engineer - Performance Analysis & Tuning for a remote role. Level rates it ; you can apply on Supabase.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include Postgres, performance engineering and distributed systems.
- Level classifies it as a senior role.
- Level lists 58 other open roles at Supabase.
AI in this role
Finds and resolves performance bottlenecks across the Supabase distributed database and platform stack.
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
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.
How we rate this
Performance Engineer - Performance Analysis & Tuning at Supabase rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where performance engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where kernel tuning was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Walk me through how you've used Postgres in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Performance Engineering, Distributed Systems, Kernel Tuning, Observability, and Postgres. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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