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Added 6 days ago
Développeur·euse senior / Senior Software Developer
Diffusion Solutions Integrees
Trois-Rivières, QC
Internship
Vous assumez le rôle de tech lead. Quand une story arrive, vous ne l'exécutez pas les yeux fermés : vous comprenez le requis, vous le challengez s'il ne tient pas debout, et vous levez la…
Added 6 days ago
Développeur·euse senior / Senior Software Developer
Valsoft Corporation
Remote, Canada
Remote
Vous assumez le rôle de tech lead. Quand une story arrive, vous ne l'exécutez pas les yeux fermés : vous comprenez le requis, vous le challengez s'il ne tient pas debout, et vous levez la…
Added 6 days ago
Senior Performance Engineer, Efficiency Red Team
Amazon
Toronto, ON · Vancouver, BC
- Experience as a mentor, tech lead or leading an engineering team
Added 6 days ago
Senior Director - Chief Developer and AI Adoption
RBC
Toronto, ON
Full-time
You will lead a team of Technology & Operations AI Developers who build the next-generation technology that changes how millions of people interact with financial information and one…
Added 7 days ago
Software Developer Intern (January 2026 12 months)
SOTI
Mississauga, ON
Full-time
Join us and assimilate cutting edge tech knowledge at SOTI: Next Gen!
Added 7 days ago
Java Backend Developer
Work in Ottawa
Ottawa, ON
$105,000 to $120,000 CAD / year
Full-time
Led by Invest Ottawa, the city’s lead economic development agency, this initiative works alongside tech companies, recruiters and search firms, and community partners to spotlight the…
Added 7 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 11 days ago
Associate Director DevOps Developer
RBC
Bedford, QC
Full-time
5+ years of hands-on experience with relevant tech stacks (Java, Python, C#, JavaScript, or similar)
Added 10 days ago
Tech Lead Guidewire (Senior)
Groupe SII
Toronto, ON
Full-time
Analyze complex technical challenges, lead major incident resolution activities, perform root cause analysis and recommend corrective actions.
Added 11 days ago
Guidewire Tech Lead CC - Brokerage program
Maarut
Quebec, QC
Contract
is looking for a senior Guidewire Tech Lead who can act as a full technical
Added 11 days ago
Software Development Engineer Intern - Summer 2027 (CAN)
Amazon
Vancouver, BC
Shape what comes next | Discover careers in Tech
Added 10 days ago
Tech Lead Guidewire (Senior)
SII Canada
Toronto, ON
Full-time
Analyze complex technical challenges, lead major incident resolution activities, perform root cause analysis and recommend corrective actions.
Added 11 days ago
Senior Software Developer
Euna Solutions
ON · Oakville, Ontario
Full-time
Experience with SAP BusinessObjects Server v4.x, including SSO components written in Java
Added 11 days ago
Senior Software Engineer II, KYC
Carta
Waterloo, ON
Full-time
The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS.
Added 11 days ago
Senior Software Engineer II, KYC
Carta
Toronto, ON
Full-time
The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS.
Added 11 days ago
Guidewire Lead (ClaimCenter & PolicyCenter)
Tech Mahindra
Markham, ON
Full-time
We are looking for an experienced Guidewire Lead with strong expertise in Guidewire Claim Center and Policy Center for large-scale P&C Insurance implementations. The ideal candidate should…
Added 11 days ago
Senior Software Engineer II, KYC
Carta
Toronto, ON · Waterloo, ON
The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS.
Added 12 days ago
Java Tech Lead (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking someone to join our team as a Java Tech Lead to design and deliver highly scalable, cloud-ready transaction processing platforms that support electronic trading, asset…
Added 12 days ago
Solutions Design IT Specialist (Java)
TD
Mississauga, ON · Toronto, ON
Full-time
Lead Agile teams, manage sprints and releases, and ensure timely, high-quality delivery.
Added 11 days ago
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
Full-time
Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
Added 12 days ago
Lead technique IBM Maximo / Maximo Application Suite (MAS)
CGI
Montreal, QC
Full-time
Expérience démontrée dans un rôle de Tech Lead, Lead technique ou Architecte Maximo.
Added 12 days ago
Manager, Engineering, SecureAI
Okta
Toronto, ON
Prior experience as a Tech Lead or in an architecture-focused role is highly desirable.
Added 12 days ago
Engineering Manager - API
Craver
Remote, Canada
Full-time · Remote
Demonstrated experience leading a team, whether formally or through tech lead responsibilities
Added 1 month ago
Engineering Manager - API
Craver
Canada
Full-time
Demonstrated experience leading a team, whether formally or through tech lead responsibilities
Added 12 days ago
Java Tech Lead
Tata Consultancy Services
Mississauga, ON
$100,000 to $120,000 CAD / year
Full-time
Lead end-to-end application design and development using Java Full Stack technologies.

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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