Supabase Logo

Supabase

Performance Engineer - Performance Analysis & Tuning

Reposted 2 Months Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Canada
Mid level
In-Office or Remote
Hiring Remotely in Canada
Mid level
Join Supabase's new performance team to identify and fix performance bottlenecks across the stack—from query optimizer to kernel and cloud infra. You will analyze live systems, partner with DB and infra teams, build tooling and methodologies, improve observability, and enable teams to self-serve performance improvements that yield measurable production gains.
The summary above was generated by AI
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.

Similar Jobs

28 Minutes Ago
Remote or Hybrid
6 Locations
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead the design and implementation of deterministic and agentic security automation systems for Falcon Complete MDR. Build scalable services, data pipelines, integrations, and workflows that accelerate threat detection, investigation, triage, and response. Collaborate with analysts and engineering stakeholders, improve reliability and monitoring, participate in on-call rotations, mentor engineers, review designs and code, and establish technical standards for AI-powered security operations.
Top Skills: Agentic Ai SystemsAWSAzureC++Ci/CdCloud Observability ToolsCrowdstrike FalconDockerGCPGitGoJavaJavaScriptKafkaKubernetesLlmsOciPostgresPowershellPythonSIEMSoarUnix
28 Minutes Ago
Remote or Hybrid
AB, CAN
Entry level
Entry level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Monitor, investigate, and respond to security detections across endpoint, identity, email, network, and cloud environments. Analyze EDR telemetry, logs, forensic artifacts, malware, and Microsoft 365 incidents to determine compromise scope and recommend remediation. Communicate findings and guidance to customers, improve detection and response processes, and use scripting and AI technologies to streamline investigations.
Top Skills: Active DirectoryBashEdrLinuxmacOSMicrosoft 365Microsoft Entra IdMitre Att&CkOktaPowershellPythonSIEMWindows
2 Hours Ago
Remote
Ontario, ON, CAN
Entry level
Entry level
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads HPE’s Canadian Presales Engineering organization, setting strategy, managing budgets and resources, developing technical sales leaders, and driving revenue growth. Builds executive customer and partner relationships, aligns presales teams with sales and product organizations, influences product direction, and ensures operational excellence across Canada and global counterparts. The role requires strong business acumen, enterprise technology expertise, cross-functional leadership, and travel across Canada, the United States, and internationally.
Top Skills: AIEnterprise TechnologyHybrid CloudNetworking

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account