Join Supabase as a Performance Engineer to enhance platform performance and optimize systems. Collaborate with database and infra teams to deliver measurable improvements across the stack.
Responsibilities
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.
Requirements
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.
Water resource engineer - in - training supporting flood, river, stormwater, and watercourse projects at Onterris. Assisting modelling, design, field investigations, and regulatory work.
Senior Process Engineer delivering mineral - processing design and improvements for Sedgman’s global resources business. Supporting mining projects from feasibility through detailed engineering in Montreal’s hybrid office.
Lead threat intelligence for Clio’s legal AI platform, tracking adversaries, fraud, and abuse. Building intelligence capabilities that protect law firms and Clio Payments.
Quantum Engineer improving T - centre qubit quality and scalability at Photonic, a quantum computing company. Collaborating across nanofabrication, hardware, software, and modelling teams.
Co - op ASIC Digital Verification Engineer contributing to verification of SiTime’s mixed - signal PLL integrated circuits. Learning testbench and test - case development within the ASIC verification team.
Co - op engineer validating SiTime’s MEMS timing ASIC devices through PCB debugging, lab characterization, and Python test automation. Supporting pre - silicon drivers and production - readiness verification.
Traffic signal and roadway lighting engineer designing transportation infrastructure for Arcadis. Preparing compliant drawings, specifications, photometrics, reports and field deliverables.
Staff Forward Deployed Engineer building AI - powered client integrations for OpenLoop’s telehealth infrastructure. Creating reusable SDKs, agents, API tooling, and deployment practices across U.S. virtual care.
Principal Geotechnical Engineer leading geotechnical infrastructure projects for AtkinsRéalis, an engineering and nuclear services organization. Mentoring teams and expanding transportation, tunnel, rail, and municipal geotechnics capability.