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Added 13 days ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
Fitch Group is currently seeking a Senior Service Reliability Engineer to embed with Fitch Ratings development squads in Toronto and to partner with developers across Chicago, London,…
Added 13 days ago
X
Lead Engineer - Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
Your background includes proficiency in modern backend stacks such as C#, Java, Golang, or C++, alongside cloud-native platforms like AWS
Added 13 days ago
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Senior Software Engineer I
Braze
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a…
Added 13 days ago
Senior Software Engineer I
Braze
Toronto, ON
We're looking for a Senior Software Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a…
Added 13 days ago
RB
Lead Platform Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Are you interested in working as a Lead Platform Engineer on the Global Payments Platform and DevOps team in Technology & Operations at the Royal Bank of Canada?
Added 13 days ago
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Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
Trackforce is seeking an experienced and driven Senior Software Development Engineer in Test (Sr. SDET) to join our Engineering team. In this senior individual contributor role, you will be…
Added 13 days ago
O
Senior Software Engineer, PAM
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
We're looking for a Senior level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. Our elite team is fast, creative,…
Added 13 days ago
Senior Software Engineer, PAM
Okta
Toronto, ON
We're looking for a Senior level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. Our elite team is fast, creative,…
Added 13 days ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 13 days ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 13 days ago
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Java Playwright Automation Engineer (Retirement/Pension Domain)
Cognizant
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
We are seeking a Java Playwright Automation Engineer with strong experience in Group Retirement and Wealth Management platforms. In this role, you will build and own the automated…
Added 13 days ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 13 days ago
I
Lead Java Developer
INFOYA
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
About the Job: Infoya is seeking a hands-on Lead Java Developer who is already
Added 13 days ago
EI
Principal Engineer
Enercare Inc.
Markham, ON
- Full-time
…building things that make a difference? As a Principal Software Engineer, you’ll be a key player in creating technology that transforms how our customers experience their homes. This role…
Added 14 days ago
M
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 14 days ago
VS
Senior Site Reliability Developer
Vena Solutions
Remote, Canada
- Full-time
- Remote
You will own and lead projects as part of the STO team’s delivery strategy.
Added 14 days ago
Principal Engineer
Enercare
Markham, ON
…building things that make a difference? As a Principal Software Engineer, you’ll be a key player in creating technology that transforms how our customers experience their homes. This role…
Added 14 days ago
Engineering - Software Engineer
Grote Industries
Waterloo, ON
…environment built on teamwork and continuous improvement will lead us to continued…
Added 14 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 14 days ago
QT
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $285,000 to $325,000 USD / year
- Full-time
- Lead across Java/Python, React and AWS/Azure environments
Added 14 days ago
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Software Engineer
Pine
Toronto, ON
- Full-time
Experience developing backend services with modern typed languages (Kotlin, Golang, C#, Java, Rust)
Added 14 days ago
T
Senior Software Engineer, Internal Tools
Tubi
Toronto, ON
- Full-time
Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you.
Added 14 days ago
T
Quality Engineering III
TD
Toronto, ON
- Full-time
Will act as a Software Development Engineer in Test (SDET) role or as Journey Test Lead partnering with Journey Solution Train Engineers (SLTE), Release Train Engineers (RTE), and Product…
Added 14 days ago
T
Quality Engineering III
TD
Toronto, ON
- Full-time
Will act as a Software Development Engineer in Test (SDET) role or as Journey Test Lead partnering with Journey Solution Train Engineers (SLTE), Release Train Engineers (RTE), and Product…
Added 14 days ago
TC
Integrator engineer
Tata Consultancy Services
Montreal, QC
- Full-time
1. Lead SecDesign deep dives with the requestor of the assessment.

Amazon

Senior Performance Engineer, Efficiency Red Team

Toronto, ON, Canada
Vancouver, BC, Canada

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Job details

Posting language: English
Posted: Sep 22, 2026

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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