Supabase

1 day ago

Performance Engineer - Performance Analysis & Tuning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 56 minutes agoStatus: Live

Job Summary

Identify and eliminate performance bottlenecks across the Supabase stack, from the query optimiser and database internals to kernel-level behavior and network/cloud paths. Build and evolve performance methodologies and tooling that convert production data into actionable insights, partnering with database, infrastructure, and observability teams. Help other teams self-serve performance analysis as you define performance engineering for a new team.

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Find bottlenecks in live production systems and characterize them so owning teams can act without you present.
•Partner with database and infrastructure teams to deliver concrete performance improvements.
•Build, communicate, and evolve performance methodologies and tooling that turn production data into actionable insights.
•Work with observability to capture the right signals and unify platform performance views (latency, throughput, tail behavior) across products.
•Enable teams to self-serve performance analysis and make performance a first-class engineering concern.

Pay and Benefits

Perks:Remote WorkEquityHealth InsuranceLearning Budget

Key Requirements

•Deep experience in performance engineering, specifically performance analysis of complex distributed systems.
•Ability to trace tail-latency end-to-end across the stack, using profiles and traces at each layer (query optimizer through kernel and networking).
•Depth in either 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, including TCP under load and AWS primitives such as EBS throughput/IOPS and cross-AZ latency.
•Proven ability to turn performance insights into concrete product and architecture improvements, influencing teams to prioritize and ship fixes.

Experience:Performance engineeringDistributed systemsCloud infrastructureObservabilityOpen source

Skills:Written communicationProblem-solvingCollaborationTooling-oriented mindsetCommunication

Tech Stack:PostgresPostgres development platformMultigresOrioleDBLinux kernelVirtual memorySchedulingNetworkingIOTCPNetwork virtualizationAWSEBSIOPSInstance network limitsPlacement groupsCross-AZ latencyWALBufferObservability

Company Brief

Supabase

Provides an open-source backend as a service built on PostgreSQL, offering real-time APIs, authentication, storage, and edge functions to help developers quickly build and scale applications.

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series B

Headquarters: New York, United States

Founded: 2020

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Supabase

1 day ago

Performance Engineer - Performance Analysis & Tuning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 56 minutes agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Find bottlenecks in live production systems and characterize them so owning teams can act without you present.
•Partner with database and infrastructure teams to deliver concrete performance improvements.
•Build, communicate, and evolve performance methodologies and tooling that turn production data into actionable insights.
•Work with observability to capture the right signals and unify platform performance views (latency, throughput, tail behavior) across products.
•Enable teams to self-serve performance analysis and make performance a first-class engineering concern.

Pay and Benefits

Perks:Remote WorkEquityHealth InsuranceLearning Budget

Key Requirements

•Deep experience in performance engineering, specifically performance analysis of complex distributed systems.
•Ability to trace tail-latency end-to-end across the stack, using profiles and traces at each layer (query optimizer through kernel and networking).
•Depth in either 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, including TCP under load and AWS primitives such as EBS throughput/IOPS and cross-AZ latency.
•Proven ability to turn performance insights into concrete product and architecture improvements, influencing teams to prioritize and ship fixes.

Experience:Performance engineeringDistributed systemsCloud infrastructureObservabilityOpen source

Skills:Written communicationProblem-solvingCollaborationTooling-oriented mindsetCommunication

Company Brief

Supabase

Provides an open-source backend as a service built on PostgreSQL, offering real-time APIs, authentication, storage, and edge functions to help developers quickly build and scale applications.

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series B

Headquarters: New York, United States

Founded: 2020

Website LinkedIn