Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 mins ago
B
Senior Software Engineer - Power APPS
BBGC
Remote, Canada
- Remote
We are seeking an experienced Senior Developer to support the implementation, optimisation, and transformation of Power Platform initiatives. The role requires deep understanding of the…
Added 5 mins ago
KT
BUSINESS DEVELOPMENT SPECIALIST
KSPACE TECHNOLOGIES HQ
Remote, Canada
- $45,000 to $55,000 USD / year
- Full-time
- Remote
Kspace OIP (Operational Intelligence Platform): Operational assessments, performance reporting, data visibility, workflow improvement, and technology-enabled business optimization.
Added 7 mins ago
Senior Core Java Engineer
Capgemini
Montreal, QC
Exposure to cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).
Added 7 mins ago
AC
N/A
Adastra Corporation
Markham, ON
- Full-time
Adastra is seeking a hands-on AWS Support Lead to support and maintain customer cloud environments within our Global Managed Services team. In this role, you will investigate production…
Added 13 mins ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics…
Added 13 mins ago
ET
Software Engineer
Envision Technology Solutions
Toronto, ON
- Full-time
Influence software architecture and lead design decisions for the Platform, with particular focus on payments and money-movement systems.
Added 16 mins ago
AI Developer
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are looking for an AI Engineer with a strong cloud, software-development and full-stack engineering background to design and build secure, scalable and user-centred AI applications. This…
Added 16 mins ago
Senior Security Engineer, PKI & Network Edge
Dentsply Sirona, Inc
ON · Mississauga, Ont., ON · Woodbridge, Ont., QC
…retains design authority, standards, and risk governance. The engineer partners closely with Infrastructure and Operations, Network Engineering, Cloud Engineering, Product Security,…
Added 16 mins ago
BH
Lead Engineer - Systems Dynamics
Beacon Holdings
Remote, Canada
- Full-time
- Remote
Own the platform. OCI compute and databases (container and pluggable), 60 to 80 site-to-site VPNs, OS and database patching, nightly backups, DR. About a dozen cloud customers today, more…
Added 16 mins ago
BH
Staff/Lead Application Security Engineer
Beacon Holdings
Toronto, ON
- Full-time
You will be Beacon's first dedicated application security engineer. You will set the strategy for product security and start to build the program.
Added 16 mins ago
BH
Member of Technical Staff
Beacon Holdings
Toronto, ON
- Full-time
Members of Technical Staff (MTS) are the senior engineers who build the platform that everything else at Beacon runs on. You will own a piece of the core stack end-to-end: design,…
Added 16 mins ago
S
Head of Security
Super.com
Remote, Canada
- Full-time
- Remote
…directly, with day-to-day technical leadership from a Staff engineer. An IT & Compliance function covering IT, GRC, and Corporate Security is led by a Director who also reports to you. This…
Added 19 mins ago
A
Senior Site Reliability Engineer
Arctiq
Canada
- Contract
…delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and…
Added 19 mins ago
AB
Data Engineer
Ateko, backed by Bell Canada
Toronto, ON
- Contract
Hands-on experience with Google Cloud Platform (GCP), including:
Added 22 mins ago
N
Senior Sales Engineer
N-able
Ottawa, ON
- Full-time
…redefining what it means to be business resilient. Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can manage, secure, and recover with…
Added 22 mins ago
AI & Data - Senior Consultant, AI/ML Engineer (Bilingual French & English)
EY
Montreal, QC · Quebec, QC
Experience working with cloud-based AI and machine learning platforms such as Azure, AWS, or Google Cloud Platform (GCP).
Added 24 mins ago
ES
Generalist Platform Software Engineer - American Football
EA SPORTS
Victoria, BC
- Temporary
Reporting to a Software Engineering Manager, as an Advanced DevOps & Automation Engineer, you will be responsible for designing, implementing, and maintaining scalable systems and tools…
Added 24 mins ago
D-
Chef d'Équipe DevOps
DELAN - IT Talent Solutions
Ottawa, ON
- Full-time
Lead the Platform Operations team and ensure overall performance
Added 26 mins ago
Sr Product Owner - Cloud Software
Natus
Oakville, ON
Take ownership of the software development backlog for cloud products, platform capabilities, and development teams.
Added 26 mins ago
A
Customer Success Engineer
Adobe
Ottawa, ON
- Full-time
…Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into…
Added 29 mins ago
S
Senior Site Reliability Engineer
SPECTRAFORCE
Toronto, ON
- Contract
Experience deploying, managing and operating complex applications in a Cloud environment e.g. Azure
Added 29 mins ago
KG
Forward Deployed Engineer (Python/PySpark, LLM)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Forward Deployed Engineer (Python/PySpark, LLM)
Added 31 mins ago
UT
Senior Software Engineer- Full Stack, Unified Ads Platform
Unity Technologies
Toronto, ON · Montreal, QC · CAN-Montreal
- Full-time
As a Senior Full-Stack Engineer on the Unified Ads Platform team, you'll own the
Added 34 mins ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 34 mins ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
We're looking for a Senior Okta Engineer to own our Okta environment hands-on. You'll be our go-to Okta expert, running SSO, provisioning, governance and privileged access for our…

Kraken

Senior Software Engineer – AI Infrastructure

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of experience building and operating high-scale production systems
Posting language: English
Posted: Oct 14, 2026

Original job description

Building the Future of Open Finance

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.

Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes - systems serve millions of users and must meet strict reliability, latency, and correctness standards.

This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.

The opportunity

Design and build the infrastructure layer powering AI agent systems in production
Develop high-performance Rust services that handle model inference, orchestration, and execution
Architect scalable systems capable of supporting millions of users and high request throughput
Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
Define guardrails, observability, and failure handling for agent-driven workflows
Optimize latency, throughput, and cost across inference and orchestration layers
Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
Contribute to foundational infrastructure decisions in a high-scale, high-impact environment

What You Bring

5+ years of experience building and operating high-scale production systems
Strong proficiency in Rust and systems-level programming
Deep understanding of distributed systems, reliability engineering, and performance optimization
Experience operating services serving millions of users or high-throughput workloads
Familiarity with ML infrastructure, model serving, or MLOps in production environments
Experience designing observability, monitoring, and failure recovery systems
Strong collaboration skills working across infrastructure and applied engineering teams
High ownership mindset in high-stakes production environment

Nice to haves

Experience building infrastructure for agent-based or LLM-powered systems
Background in high-performance networking, async systems, or low-latency architectures
Experience with container orchestration and cloud-native infrastructure
Familiarity with evaluation frameworks and model performance monitoring at scale
Experience working in fast-moving 0→1 or platform-building teams

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Our commitment

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

Stay connected

Follow us on Twitter

Learn on the Kraken Blog

Connect on LinkedIn

Candidate Privacy Notice

Apply About employer

More about this job

Responsibilities

Design and operate production infrastructure for AI agents, including high-performance Rust services for model inference, orchestration, and execution. Build scalable, reliable ML infrastructure with observability, guardrails, and failure handling, while optimizing latency, throughput, and cost and partnering with the Agent Systems team to productionize prototypes.

Requirements

Candidates need 5+ years of experience building and operating high-scale production systems, strong Rust and systems programming skills, and deep knowledge of distributed systems, reliability, and performance optimization. They should also have production experience with ML infrastructure or MLOps and with observability and failure recovery, along with strong collaboration and ownership skills.

Skills

Rust
Systems Programming
Distributed Systems
Reliability Engineering
Performance Optimization
High-Scale Production Systems
Machine Learning Infrastructure
Model Serving
MLOps
Observability
Monitoring
Failure Recovery
Agent Systems
Inference Orchestration
High-Performance Networking
Container Orchestration

Visa sponsorship

Not detected in the job text

Keywords

Rust
AI Infrastructure
AI Agents
Agent Systems
Model Inference
Inference Orchestration
Distributed Systems
Systems Programming
Production Systems
Machine Learning Infrastructure
MLOps
Model Deployment
Model Evaluation
Model Monitoring
Observability
Reliability Engineering
Failure Recovery
Guardrails
Performance Optimization
Latency Optimization
Throughput
Cost Optimization
High-Performance Networking
Async Systems
Low-Latency Architectures
Container Orchestration
Cloud-Native Infrastructure
Financial Services
Cryptocurrency

Report this job