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Added 8 days ago
Senior QA Automation Engineer
Citi
Mississauga, ON
Full-time
The Senior QA Automation Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs…
Added 8 days ago
Applications Development Sr Programmer Analyst- AVP -Mississauga
Citi
Mississauga, ON
Full-time
The Applications Development Senior Programmer Analyst is a pivotal technical professional who sits at the intersection of engineering excellence and enterprise impact - a builder,…
Added 8 days ago
Senior Android Engineer, Manulife Bank Technology
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior Android Engineer, you will join the small, high-impact team responsible for building Canada's top-rated banking app for Android. You will take a leading role in developing…
Added 8 days ago
Senior Data Engineer
TripleLift
Toronto, ON
TripleLift is seeking a Senior Data Engineer to join a small, influential Data Engineering team. This hire will be responsible for expanding and optimizing our data pipeline architecture,…
Added 8 days ago
Senior Software Engineer - Credit Commercial Engineering
Marqeta
Remote, Canada
Full-time · Remote
Marqeta is seeking a skilled Senior Software Engineer to contribute to the design and delivery of software solutions on our Credit Commercial Engineering Team. In this role, you will take…
Added 8 days ago
Senior Performance Engineer, Efficiency Red Team
Amazon
Toronto, ON · Vancouver, BC
Are you the kind of engineer who obsesses over performance? Does the idea of hunting for hidden waste across the world's largest infrastructure and turning those findings into hundreds of…
Added 8 days ago
Senior Android Developer
MapsPeople
Toronto, ON
Full-time
…To support this journey, we are looking for an experienced Senior Android Developer who is comfortable leading technical initiatives, mentoring developers, and influencing engineering…
Added 8 days ago
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
$285,000 to $325,000 USD / year
Full-time
Position: Principal Engineer, Software Engineering / AI Engineer
Added 8 days ago
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
Full-time
…software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams…
Added 8 days ago
Python Developer - AI Engineer
Highspring
Montreal, QC
Full-time
Highspring is seeking a Senior Python Developer (AI Engineer) to join a growing Artificial Intelligence and Machine Learning team. In this role, you will contribute to the design,…
Added 8 days ago
Senior Java Engineer
K&K Global Talent Solutions INC.
Toronto, ON
Full-time
Design, develop, and maintain high-quality, maintainable Java applications using clean code principles and established design patterns.
Added 8 days ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 8 days ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
$154,000 to $193,000 CAD / year
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 8 days ago
Intern, Full Stack Software Engineer - Team Pickle - Winter 2027
Capital One
Toronto, ON
Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Full Stack Software Engineer - Team Pickle - Winter 2027
Added 8 days ago
Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Capital One
Toronto, ON
Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Added 8 days ago
Senior DevOps Developer
RBC
Bedford, QC
Full-time
Develop value-add DevOps services and CI/CD pipelines using GitHub Actions, TypeScript, Python and Java that integrate with our existing DevOps stack
Added 8 days ago
Senior Mulesoft Software Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
…the next generation of enterprise integration solutions. As a Senior MuleSoft Software Engineer, you will design, develop, and support scalable, secure, and resilient integration platforms…
Added 8 days ago
Senior Software Engineer, Internal Tools
Tubi
Toronto, ON
Full-time
Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement.
Added 9 days ago
Integrator engineer
Tata Consultancy Services
Montreal, QC
Full-time
4. Strong focus on delivery when presented with short timelines and increased involvement from senior management.
Added 9 days ago
Senior AI Engineer
Tekgence Inc
Toronto, ON
Contract
Strong JVM engineering (Java; Kotlin or Scala a plus) with solid practices: Git workflows, code review, automated testing, structured logging, and clean design.
Added 9 days ago
Senior Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement.
Added 9 days ago
Applications Development Technology Lead Analyst - Lead Java Developer - Vice President
Citi
Mississauga, ON
Full-time
The Applications Development Technology Lead Analyst (Lead Java Developer) is a senior-level position responsible for leading the architectural design, implementation, and continuous…
Added 10 days ago
Senior Software Engineer
Great Value Hiring
Canada
Contract
Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript
Added 10 days ago
Senior Software Engineer, Backend
Brex
Vancouver, BC
As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We’re looking for folks with an…
Added 11 days ago
Software Developer 1, Canada Tax Content
Intuit
Toronto, ON
Full-time
…products. This is an entry-level, growth-oriented role for an engineer developing proficiency across the full software development lifecycle - you'll deliver well-defined tasks under close…

Amazon

Senior Performance Engineer, Efficiency Red Team

Toronto, ON, Canada
Vancouver, BC, Canada

Posting language: English
Posted: Sep 22, 2026

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Original job description

Are you the kind of engineer who obsesses over performance? Does the idea of hunting for hidden waste across the world's largest infrastructure and turning those findings into hundreds of millions of dollars in freed capacity sound like the most exciting job you can imagine? If so, keep reading.

This role offers something rare. Deep technical research freedom, immediate access to the largest compute infrastructure in the world, and direct line of sight to impact that reshapes how Amazon builds and operates its infrastructure. The Efficiency Red Team has already driven billions in cumulative capacity savings, reclaimed petabytes of DRAM through automated profiling, and built GPU efficiency frameworks adopted across Amazon. And we are just getting started. The surface area of opportunity grows with every new workload, every new chip generation, and every new AI model Amazon deploys. You would be joining a team with a proven foundation and an expanding frontier.

Compute demand is rising with no sign of slowing down. The explosive growth of Generative AI has created unprecedented demand for GPUs, and the shock-waves are now constraining DRAM availability for traditional compute across the entire industry. Silicon, power, and physical space are not infinite. When capacity is constrained, efficiency becomes the new capacity. At Amazon's scale, a single efficiency pattern discovered and applied can unlock resources equivalent to building entirely new data centers. A modest reduction in memory footprint across a widely deployed library translates into millions of dollars in freed capacity. An optimization that improves response latency by milliseconds across billions of requests directly improves the experience of hundreds of millions of customers and drives business growth.

We are looking for experienced performance engineers to join a focused group whose mission is discovering and eliminating waste across every layer of the compute stack. You will work at the intersection of hardware and software, from GPU memory management in generative AI inference pipelines to DRAM allocation patterns deep inside language runtime, from storage subsystem inefficiencies to CPU scheduling behaviors at hyper-scale.

Key job responsibilities
- Apply first-principles analysis across CPU, DRAM, GPU, storage, I/O, and networking layers to uncover optimization opportunities that others overlook
- Design and lead rigorous investigations that establish root causes and produce actionable findings with broad impact
- Build proof-of-concept implementations for novel efficiency approaches such as memory compression, smart over-subscription, and language-level rewrites
- Develop repeatable patterns and practices that translate individual findings into fleet-wide optimization playbooks
- Quantify business impact at Amazon scale, connecting every technical insight to capacity freed, dollars saved, and customer experience improved
- Collaborate across organizational boundaries where the largest opportunities often live at the intersection of teams, systems, and technology stacks
- Contribute findings to internal profiling tools, automated optimization agents, and engineering guidance that become force multipliers across Amazon
- Directly influence how Amazon reasons about performance engineering and capacity efficiency at scale as a founding member of the Efficiency Red Team

A day in the life
Your day could include profiling a widely deployed library to quantify its memory allocation overhead, then building a prototype that demonstrates a significant reduction in DRAM footprint and calculating the impact in freed servers and dollars. You might be deep in GPU utilization data, investigating why a generative AI training cluster shows substantial idle time during peak hours and designing an over-subscription model that safely reclaims that capacity. You could be translating complex performance findings into a clear narrative for senior leadership, showing them that a single optimization pattern applied across Amazon's fleet frees capacity worth more than most companies spend on infrastructure in a year.

Some weeks you will be reading CPU performance counters and cache miss rates. Other weeks you will be analyzing token throughput economics in large language model serving infrastructure. The variety is deliberate because waste hides everywhere, and finding it requires curiosity that refuses to stay in a single lane.

About the team
The Efficiency Red Team is a small group of performance engineers who move fluidly across the entire compute stack. The same engineer might profile CPU cache behavior in a traditional workload one week and analyze token throughput in a GPU inference cluster the next. You will have the freedom to pursue deep technical research, choose your own investigations, and follow the data wherever it leads. This is a founding opportunity to help shape the mission, methods, and culture of a team designed to be Amazon's center of excellence in performance engineering. Every pattern this team discovers feeds directly into detection and remediation tools that operate continuously across the fleet, turning individual insights into lasting, compounding impact. Basic Qualifications: - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 7+ years of professional experience in systems programming, performance engineering, or infrastructure optimization
- Deep proficiency in at least one systems language (C, C++, Rust, or Java)
- Hands-on experience with performance profiling and analysis tools
- Demonstrated ability to conduct root cause analysis across multiple layers of the compute stack (CPU, memory, storage, networking)
- Track record of delivering measurable performance improvements in production systems at scale Preferred Qualifications: - Bachelor's degree in computer science or equivalent
- Experience with GPU profiling and optimization (CUDA, GPU memory management, inference pipeline tuning)
- Familiarity with generative AI infrastructure including model serving, training pipelines, and token economics
- Experience with language runtime internals (JVM garbage collection tuning, memory management design, or equivalent)
- Background in capacity planning, fleet management, or infrastructure economics at hyper-scale
- Contributions to open source performance tools or published research in systems performance

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 150,700.00 - 251,700.00 CAD annually
CAN, ON, Toronto - 150,700.00 - 251,700.00 CAD annually

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More about this job

Responsibilities

You will lead investigations to identify and eliminate inefficiencies across the compute stack, including CPU, GPU, and memory layers. You will also develop repeatable optimization playbooks and quantify the business impact of your findings on infrastructure capacity and costs.

Requirements

Candidates must have over 7 years of experience in systems programming or performance engineering and proficiency in at least one systems language. A strong track record of conducting root cause analysis and delivering measurable performance improvements at scale is required.

Skills

Performance engineering
Systems programming
C
C++
Rust
Java
Performance profiling
Root cause analysis
GPU optimization
CUDA
Capacity planning
Infrastructure optimization
Generative AI
Memory management
Distributed systems
Architecture design

Benefits

Health insurance
Medical
Dental
Vision
Prescription
Basic life & AD&D insurance
Deferred profit sharing plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Performance Engineering
Efficiency Red Team
Infrastructure
Compute Stack
GPU
DRAM
CPU
Generative AI
Systems Programming
C
C++
Rust
Java
CUDA
Profiling
Capacity Planning
Fleet Management
Optimization
Memory Management
Inference Pipelines
Token Economics
Root Cause Analysis
Scalability
Reliability
Architecture
Data Centers
Latency
Throughput
Open Source
Cloud Infrastructure

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