Jobs in Canada

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Added 3 days ago
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Manager of Insights and AI
Equinix
Toronto, ON
- Full-time
Practical experience using generative AI in communications workflows and helping colleagues build confidence with new tools
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Technology Delivery Lead, Enterprise AI
Marsh
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
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DG
AI Data Lead
Doane Grant Thornton LLP
Toronto, ON
- Full-time
Hands-on experience implementing enterprise AI, generative AI, intelligent automation, and data governance solutions using Microsoft technologies including Copilot, Azure AI Foundry, and…
Added 3 days ago
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Global Information Security Architect
Affinity
Vancouver, BC
- Full-time
Develop security governance frameworks and guardrails for emerging technologies, including Generative AI and Large Language Models (LLMs).
Added 3 days ago
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Electrical Engineering Co-Op
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
As demand for generative AI, high-performance computing, and cloud solutions rapidly expands, there has never been a more exciting time to join our team.
Added 3 days ago
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Account Associate
MSL Group Canada
Toronto, ON
- Full-time
…in a public environment shaped by platforms, algorithms, and generative AI. Our work is grounded in a simple belief: influence isn’t about volume or visibility alone. It’s about shaping how…
Added 3 days ago
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Responsable senior de projets numériques et IA / Senior Digital & AI Project Leader
Airbus
Mirabel, QC
- Full-time
Cadrer, évaluer et déployer des solutions basées sur l'intelligence artificielle (IA générative, prédictive et automatisation) dans les processus métiers et produits clients;
Added 3 days ago
Industrial Network & Security Consultant
Siemens
Concord, ON
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AS
Quality Engineer
AgileGrid Solutions
Canada
- Full-time
…Fast 50 Clean Technology and Fast 500 honors. As demand for generative AI, high-performance computing, and cloud services continues to grow, the company is expanding its work on…
Added 3 days ago
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AI -Senior Mobile Engineering Specialist
Tata Consultancy Services
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
Experience onboarding or securing AI / generative AI applications in an enterprise environment
Added 3 days ago
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Manager, Market Sensing & Intelligence
Deloitte
Toronto, ON
- Full-time
A relevant graduate degree or professional designation, and experience using analytics, automation or generative AI to improve insight development and delivery.
Added 3 days ago
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Director, SEO/AEO/GEO
Monks
Toronto, ON
- Full-time
…they know how to extend that foundation into answer-engine and generative-engine strategies that earn brand mentions and citations inside AI-generated answers. This individual will partner…
Added 3 days ago
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FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
Embed generative AI functionality into production apps, utilizing RAG architectures, structured model outputs, prompt design, and function invocation.
Added 3 days ago
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Sr. Applied Scientist, Amazon Private Brands, Amazon Private Brands Selection Guidance
Amazon Science
Vancouver, BC
- Full-time
The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and…
Added 3 days ago
Senior Quality Engineer
Capgemini
Mississauga, ON
Added 3 days ago
MC
Sales and Advice Effectiveness Specialist, Retail
Meridian Credit Union
Toronto, ON · Etobicoke, ON
- Full-time
Added 3 days ago
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Business Development Intern
Meridian OneCap Credit Corp.
Toronto, ON · Etobicoke, ON
- Full-time
Added 3 days ago
MC
Business Analyst
Meridian Credit Union
St. Catharines, ON
- Full-time
Added 3 days ago
MC
Sales and Advice Effectiveness Specialist, Retail
Meridian Credit Union
Toronto, ON · Etobicoke, ON
- Full-time
Added 3 days ago
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Manager, Business Analysis & AI Delivery
MNP
Ottawa, ON · Toronto, ON
- Full-time
We are modernizing functional consulting by pairing professional judgment with generative AI, Microsoft Copilot, automation and agents. As a Manager, you will set the standard for…
Added 3 days ago
MC
AI Enablement & Business Process Analyst
Morgan Construction & Environmental Ltd.
AB · Edmonton, AB
- Other
Partner with the AI Integration Specialist and AI & Automation Developer to move prototypes into production
Added 3 days ago
MC
AI & Automation Developer
Morgan Construction & Environmental Ltd.
AB · Edmonton, AB
- Other
At Morgan, we don’t just build projects, we build careers and futures! Join us as an AI & AUTOMATION DEVELOPER and play a pivotal role in our dynamic world of heavy civil construction!
Added 3 days ago
Software Development Engineer, ElastiCache
Amazon
Vancouver, BC
- Designing and implementing advanced data structures and query capabilities including vector search and full-text search to support emerging workloads like generative AI.
Added 3 days ago
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Account Associate
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
…in a public environment shaped by platforms, algorithms, and generative AI. Our work is grounded in a simple belief: influence isn’t about volume or visibility alone. It’s about shaping how…
Added 3 days ago
Software Development Engineer, ElastiCache
Amazon
Vancouver, BC
- Designing and implementing advanced data structures and query capabilities including vector search and full-text search to support emerging workloads like generative AI.

Amazon

Software Development Engineer, ElastiCache

Vancouver, BC, Canada

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Job details

Posting language: English
Posted: Nov 10, 2026

Original job description

This is an opportunity to join one of AWS's most foundational and high-impact engineering teams - the Data Plane team within Amazon ElastiCache and
MemoryDB. We own the core in-memory engine that powers millions of customer workloads: the data path, durability layer, replication protocol, snapshot
system, and advanced data structures. Our work sits at the intersection of systems programming, database internals, and performance engineering - every microsecond matters when you're serving the world's most latency-sensitive applications.

If you've ever found yourself deep in a conversation about write-ahead logs, copy-on-write fork semantics, lock-free data structures, or memory allocator design - and you want to apply those ideas to a system handling millions of operations per second at cloud scale - this team is where you belong. We build the engine behind Amazon MemoryDB, the only Valkey-compatible database that delivers in-memory speed with Multi-AZ durability. We're not just running an open-source cache; we're extending Valkey with novel capabilities - durable replication, active-active conflict resolution, full-text and vector search - while maintaining the sub-millisecond latencies our customers depend on.

Our customers include Disney+, Snap, Zoom, Lyft, Airbnb, and hundreds of thousands of other AWS customers who trust us with their most performance-critical workloads. You'll work in C/C++ at the lowest levels of the stack, solving problems in memory management, I/O optimization, replication protocols, and distributed data systems - all in production at massive scale.

Key job responsibilities
As a Software Development Engineer on the Data Plane team, you will take on broad ownership of the core engine that sits at the heart of ElastiCache and MemoryDB. Your core responsibilities will include:

- Designing and building the next-generation in-memory database engine, delivering sub-millisecond latencies and millions of operations per second to the world's most demanding applications.
- Developing large-scale distributed in-memory storage systems in C/C++, extending open-source Valkey with durability, replication, and advanced data structure capabilities.
- Building and optimizing the durability layer - transaction logging, snapshotting, and replication protocols - that enables MemoryDB to deliver in-memory speed with Multi-AZ data protection.
- Designing and implementing advanced data structures and query capabilities including vector search and full-text search to support emerging workloads like generative AI.
- Driving performance engineering at the systems level - memory allocator tuning, I/O path optimization, and lock-free concurrency - to push throughput and latency boundaries.
- Contributing to active-active replication and conflict resolution mechanisms that enable globally distributed, low-latency data access.
- Mentoring and growing engineers on the team, serving as a technical leader and role model for engineering best practices.
- Managing individual project priorities, deadlines, and deliverables with a high degree of autonomy and accountability.

A day in the life
Day-to-day, you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like:
- Writing and reviewing production-quality C/C++ code for the core in-memory engine - optimizing data structures, replication paths, and the durability layer for maximum throughput at minimal latency.
- Participating in design reviews and architecture discussions, where you'll debate trade-offs around durability guarantees, memory efficiency, and replication consistency - and then go build the solution.
- Collaborating with peer engineers to debug complex systems issues at the engine level - analyzing crash dumps, tracing memory corruption, and profiling hot paths under production-scale load.
- Working with upstream open-source Valkey contributors and internal partner teams to integrate new capabilities and ensure our extensions remain compatible and performant.
- Engaging with product teams to understand emerging customer needs - from generative AI workloads requiring vector search to globally distributed applications needing active-active replication - and translating those into engine capabilities.
- Mentoring engineers through code reviews, design feedback, and pairing sessions, helping them grow their systems programming skills and engineering judgment.
- Contributing to the team's operational excellence by participating in on-call rotations and driving improvements to engine reliability and diagnostic tooling.

About the team
The Data Plane team is a passionate group of engineers who thrive on solving hard problems at the intersection of database internals and distributed systems. We are a collaborative, intellectually curious team that values technical depth, ownership, and a bias for action. We own the core engine behind Amazon ElastiCache and MemoryDB - the in-memory data path, durability layer, replication protocol, and advanced query capabilities that hundreds of thousands of AWS customers depend on for their most latency-sensitive workloads. Basic Qualifications: - 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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 - 114,800.00 - 191,800.00 CAD annually

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More about this job

Responsibilities

You will design and build the next-generation in-memory database engine for ElastiCache and MemoryDB, focusing on sub-millisecond latency and high throughput. Additionally, you will drive performance engineering, mentor team members, and manage project priorities with high autonomy.

Requirements

Candidates must have at least 3 years of professional software development experience and 2 years of system design or architecture experience. Proficiency in C/C++ and experience with distributed systems are essential for this role.

Skills

C
C++
Systems programming
Distributed systems
Database internals
Performance engineering
Memory management
I/O optimization
Replication protocols
Lock-free data structures
Valkey
Cloud scale
Software development
Architecture design
Technical leadership
Mentoring

Benefits

Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred Profit Sharing Plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
AWS
ElastiCache
MemoryDB
Data Plane
In-memory database
Valkey
C
C++
Distributed systems
Systems programming
Performance engineering
Write-ahead logs
Lock-free data structures
Memory management
I/O optimization
Replication protocols
Vector search
Full-text search
Generative AI
Cloud scale
Architecture
Reliability
Scaling
Technical leadership
Mentoring
Production-quality code
Database internals
Operational excellence

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Work requirements

Jobs in Canada