Jobs in Canada

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Added 1 month ago
F
Quality Assurance Software Engineer - Contract Role
FYidoctors
Calgary, AB
- Full-time
Join our dynamic team as a QA Software Engineer! In this role you’ll be developing and executing comprehensive automated test plans and cases for all software projects. You’ll increase…
Added 1 month ago
AN
Senior Site Reliability Engineer (SRE) – CloudVision as a Service (CVaaS)
Arista Networks
Vancouver, BC
- Full-time
…preferred. Our technical stack includes but not limited to: Golang, Python, Ansible/Pulumi, Bash. You will be expected to develop, operate, and work with many different types of databases,…
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Connect client owned automation APIs to an agent orchestration layer and third-party managed agents
Added 1 month ago
EI
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
- Full-time
Proficiency in Python for data analysis, automation, and advanced analytical modeling.
Added 1 month ago
SS
Staff AI Engineer
Safe Software
Remote, Canada
- $147,000 to $167,000 CAD / year
- Full-time
- Remote
Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.
Added 1 month ago
CC
Cloud Engineer
CDW Canada
Vancouver, BC · Greater Vancouver, BC
- Contract
Automate provisioning, configuration, and operational tasks using PowerShell, Azure CLI, Python, and Azure Automation.
Added 1 month ago
A
Quality Assurance Engineer
Adacel
Montreal, QC
- Full-time
Under the general direction of the Manager of Engineering, the QA Engineer designs, develops, and maintains automated testing solutions that verify the quality, reliability, and performance…
Added 1 month ago
JG
Oracle EDQ Platform Engineer
J&M Group
Brampton, ON
- Contract
Azure Data Engineer Associate or Azure Solutions Architect
Added 1 month ago
FM
ADAS Software Verification and Validation Engineer
Ford Motor Company
Waterloo, ON
- Full-time
This position is hybrid with a requirement to be onsite for work four or more days per week.
Added 1 month ago
C
NPI Test Engineer
Ciena
Montreal, QC
- Full-time
The must haves:
Added 1 month ago
B
Quality Assurance Software Engineer - Contract Role
BonLook
AB
- Full-time
Join our dynamic team as a QA Software Engineer! In this role you’ll be developing and executing comprehensive automated test plans and cases for all software projects. You’ll increase…
Added 1 month ago
SDET Contractor
PlayStation Global
Waterloo, ON
We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role…
Added 1 month ago
C
NPI Test Engineer
Ciena
Montreal, QC
- Full-time
The Must Haves
Added 1 month ago
S
Data Engineer - Capital Markets
Synechron
Mississauga, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking an experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, and Snowflake to join our Capital Markets technology team. The ideal candidate will play a…
Added 1 month ago
BC
Senior Cloud Engineer - Google Firebase
BDO Canada
Toronto, ON
- Full-time
BDO Canada's Google Cloud Advisory Practice is seeking a Senior Cloud Engineer - Google Firebase to help clients design, build, modernize, and scale cloud-native applications on Google…
Added 1 month ago
SI
Principal SI/PI Engineer - 18619
Synopsys Inc
Mississauga, ON
- Full-time
Proficiency in scripting/automation for flow enablement (Python preferred; MATLAB/TCL is a plus) and a disciplined approach to documentation and reproducibility.
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Onsite Flexibility: Hybrid - four days per week onsite, with one remote day based on team and business needs
Added 1 month ago
BS
Software Engineer
Beacon Software
Toronto, ON
- Full-time
…function, where manual work accumulates, and where agentic automation can unlock…
Added 1 month ago
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
Must have logical aptitude to understand interactions/workings of systems
Added 1 month ago
Développeur(euse) en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
Connaissances requises : Python, Linux, Jenkins, Groovy, Git/GitLab, scripts Shell, outils d’IA appliqués au développement logiciel.
Added 1 month ago
K
AI Platform Engineer, Enablement and Governance Operations
Kraken
Canada
- Full-time
…assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of…
Added 1 month ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
Bring Power Platform (Power Apps, Power Automate, Power BI) into a design where the requirement is workflow automation or reporting.
Added 1 month ago
E
Associate Verification Engineer
ecobee
ON · Ontario, Canada
- Full-time
As an Associate Verification Engineer, you will be at the forefront of validating and delivering high-reliability products and test systems for next-generation hardware. This role is ideal…
Added 1 month ago
GP
Associate Verification Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
- Full-time
As an Associate Verification Engineer, you will be at the forefront of validating and delivering high-reliability products and test systems for next-generation hardware. This role is ideal…
Added 2 months ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
- Full-time
…solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain…

Kraken

AI Platform Engineer, Enablement and Governance Operations

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 17, 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.

Enterprise Transformation owns Kraken's internal AI platform. AI tooling is deployed at scale across the org. Tiered spend controls are live, a governed integration gateway is in production, and a system inventory is being built against real regulatory obligations. The next constraint is not access. It's capability. The frontier moves every few weeks, and most of what arrives is a protocol, API, or primitive that someone has to turn into something the rest of the company can safely use.

The opportunity

Design and build the technical layer of the AI platform, from integration surface to production runbook. Identify capability gaps between what's possible and what the organization can safely use, then close them by evaluating vendors or building internally.
Own the governed integration gateway as an engineering surface. You'll handle connector onboarding, authentication flows including OAuth and federated identity, reliability, and vendor escalation when things break.
Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of record.
Configure and operate tiered spend controls across the AI estate. Set caps by role and tier, build alerting rules, manage exception queues, run monthly reconciliation against vendor commitments, and eliminate the current single author risk in cap automation.
Implement the technical controls behind policy on data handling, retention, and model eligibility. This means identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration where retention terms differ by model class.
Work directly with teams to unblock them. Sit with them, understand the workflow, build or configure the thing that enables them to get real leverage from the tools.
Run technical enablement. Deep dives for tool rollouts, office hours for model releases, and authority over the engineering detail in knowledge base material.
Administer the enterprise AI estate end to end. Model turn ups, feature enablement, deprecation, provisioning queue, vendor configurations, and seat true ups.

What You Bring

Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform.
Demonstrated ability to build and ship working software, not just configure vendor products. Python or a comparable language should be natural to you. Version control, CI, containers, and secrets management are everyday tools.
Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use patterns, including MCP or equivalent tool calling architectures.
Working knowledge of identity and access. Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity are things you've worked with.
Operational discipline. You understand intake queues, SLAs, runbooks, escalation hygiene, and the instinct to document a fix the first time you make it.
Genuine teaching ability. You can explain a technical capability three different ways on the same day to compliance, traders, and backend engineers.
Clear written communication for technical documentation, runbooks, and policy pages.
Judgment about what to build. You can tell the difference between a capability the organization actually needs and a demo that will be abandoned in a month.

Nice to haves

Experience standing up an internal developer or AI platform, including the self service and guardrail layers.
Exposure to FinOps or software asset management practice.
Experience with low code or workflow automation platforms.
Atlassian administration depth in Jira, Confluence, or JSM.
Familiarity with regulated industry audit and evidence work in financial services.

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.

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More about this job

Responsibilities

You will design and build the technical layer of the internal AI platform, including governed integration gateways and internal tooling. Additionally, you will manage enterprise AI estate operations, including spend controls, identity integration, and technical enablement for internal teams.

Requirements

Candidates must have experience in enterprise SaaS administration and demonstrated ability to build and ship software using Python. Proficiency in identity management, API integrations, and operational discipline is essential for this role.

Skills

Python
AI Platform Engineering
LLM
SaaS Administration
Identity and Access Management
OAuth
SSO
SCIM
CI/CD
Containerization
Secrets Management
FinOps
API Integration
Technical Documentation
Agent Scaffolding
Governance

Visa sponsorship

Not detected in the job text

Keywords

AI Platform Engineer
Open Finance
Kraken
Enterprise SaaS
Python
LLM
Governance
Integration Gateway
OAuth
Federated Identity
Okta
SCIM
SSO
CI/CD
Containers
Secrets Management
FinOps
Agent Scaffolding
MCP
Jira
Confluence
JSM
Financial Services
Regulatory Compliance
Provisioning Automation
Technical Enablement
Runbooks
SLA
Vendor Management
Software Asset Management

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Work requirements

Jobs in Canada