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Added 1 day ago
M
Senior Critical Environment Mechanical Engineer
Microsoft
Toronto, ON
- Full-time
…culture every day and we need you as a Critical Environment Senior Mechanical…
Added 1 day ago
Développeur.se de logiciels sénior.e - applications dorsales / Senior Software Developer - Backend
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Added 1 day ago
ES
Senior DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, BC
- Full-time
The DevOps team is looking for an experienced DevOps Engineer to join our team. We’re looking for candidates with experience designing, deploying, and operating solutions in a public cloud…
Added 1 day ago
Senior DevOps Engineer - EA Sports Technology
Electronic Arts
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Added 1 day ago
MS
Senior QA Automation Engineer
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- Full-time
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Added 1 day ago
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Senior Java Full Stack Developer
EngRadar
Ottawa, ON
- Volunteer
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Added 1 day ago
KI
Senior Product Manager, AI Innovations Team, Operations Orchestration
Kinaxis Inc.
Canada
- Full-time
In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ…
Added 1 day ago
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Director & Principal Engineer, AI/ML & MLOps Platform
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Vancouver, BC
- Full-time
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Added 1 day ago
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Senior Product Security Engineer
Snyk
Ottawa, ON
- $192,000 to $240,000 CAD / year
- Full-time
Snyk's Product Security team works consultatively with the engineering teams that build and run our cloud platform: we identify the security requirements, agree together on what needs to…
Added 1 day ago
R
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
- Full-time
Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver…
Added 1 day ago
AS
Senior Software Developer
AgileGrid Solutions
Canada
- Full-time
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Added 1 day ago
ET
Senior AI Engineer (Claude Code, Codex, Cursor)
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
A well-established global financial services company is expanding its enterprise AI platform. It's hiring a Senior AI Engineer to join a small, hands-on team. You'll design, ship and run…
Added 1 day ago
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Senior Full Stack Software Designer (Java & React)
CGI
Toronto, ON
- Full-time
…end systems, including APIs, microservices, databases, and cloud deployments. This role will be responsible for developing scalable, secure, and high performing enterprise applications…
Added 1 day ago
M
Senior Java Full Stack Developer
Miratech
Ottawa, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 day ago
Senior Data Engineer
Capgemini
Mississauga, ON
Data Engineering Lead We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies…
Added 1 day ago
EM
Senior IT Security Specialist
Electric Mind
Toronto, ON
- Full-time
We are hiring a Senior IT Security Specialist to protect our networks, endpoints, applications and cloud environments, and to keep us compliant with the frameworks our business and clients…
Added 1 day ago
M
Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
- Full-time
This is a senior individual contributor technical sales role with primary depth in AI & Apps and a broad leadership mandate across the Microsoft platform. You will lead strategic technical…
Added 1 day ago
M
Senior Java Full Stack Developer
Miratech
Kitchener, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 day ago
M
Senior Java Full Stack Developer
Miratech
London, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 2 days ago
M
Senior Machine Learning Engineer / Applied Scientist
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Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong…
Added 2 days ago
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Associate Cloud Engineer
''
Florenceville-Bristol, NB
- Full-time
You will join McCain’s Infrastructure, Engineering & Operations Cloud Engineering team within Global Technology. Reporting to the Senior Director, Infrastructure, Engineering & Operations,…
Added 2 days ago
Senior Software Engineer - Kubernetes platform
Cloudflare
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…Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a…
Added 2 days ago
MF
Associate Cloud Engineer
McCain Foods
Florenceville-Bristol, NB
- Full-time
You will join McCain’s Infrastructure, Engineering & Operations Cloud Engineering team within Global Technology. Reporting to the Senior Director, Infrastructure, Engineering & Operations,…
Added 2 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 2 days ago
Senior Software Developer (AI Platform & Applications)
Dayforce
Canada
We are looking for an Intermediate to Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced…

Snyk

Senior Product Security Engineer

Ottawa, ON, Canada

$192,000 to $240,000 CAD / year · Full-time

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Job details

Pay: $192,000 to $240,000 CAD / year
Job type: Full-time
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Unleash AI Innovators, Securely

Software is being rewritten in real time. AI agents are starting to write more code than humans do, at a speed no security team has ever had to match, and that single shift is opening up the biggest opportunity our industry has seen in a decade. We're not bracing for it, we're building the company that owns it.

Snyk is building the next generation security platform where security isn't a set of tools people operate. It's a team of security agents working alongside your engineers, finding, fixing, and governing risk at the speed software is now built. These agents work alongside both the company build and the agents they adopt. Security stops being a queue of work waiting for people, and becomes a coordinated workforce companies direct and trust.

Job Summary

Snyk's Product Security team works consultatively with the engineering teams that build and run our cloud platform: we identify the security requirements, agree together on what needs to change, and the owning teams implement it. As a Senior Product Security Engineer (Platform), you'll pair deep GCP and AWS infrastructure experience with AI coding agents to turn threat models into concrete Terraform, Kubernetes, and pipeline fixes, then work directly with platform teams to get those fixes merged. The goal is simple to state and hard to do well: make the secure option the easy option for the engineers building Snyk's platform.

About The Team

You'll join Snyk's Product Security team, which operates as an advisor rather than an owner: the cloud infrastructure teams retain ownership and operation of their systems, and Product Security's job is to find what needs to change and make that change easy to ship. The team sits close to Snyk's platform and infrastructure organization and is increasingly built around AI agents doing real infrastructure work, not just reviewing someone else's.

What You’ll Do

Threat model Snyk's cloud infrastructure across GCP and AWS to identify the security requirements platform teams need to meet, then negotiate the resulting changes directly with the teams that own the systems.
Use AI coding agents (for example Claude Code) to draft the Terraform, Kubernetes, and pipeline changes that fix identified security gaps, and raise them for the owning team to review and merge.
Run agent-driven fixes at scale across many repositories, scoping every change so the owning platform team can review and merge it with confidence.
Write and maintain the guidance AI agents rely on (skills, prompts, instruction files, security baselines) so agent output consistently matches Snyk's standards.
Connect agents to live cloud, CSPM, and ticketing data through MCP servers, command-line tools, and provider APIs so their fixes are grounded in the real environment.
Review AI-generated infrastructure changes critically: catch invented resources, unsafe defaults, and IAM permissions scoped wider than they need to be.
Harden GCP identity and access management, including the resource hierarchy, IAM roles and conditions, service accounts and workload identity federation, and organization policy constraints, plus the AWS IAM equivalent.
Improve Kubernetes and container security, primarily on GKE: cluster hardening (private clusters, Autopilot), RBAC, admission control, workload identity, network policy, and secure container image pipelines (Artifact Registry, Binary Authorization).
Add automated security testing and CSPM tooling to CI/CD and GitOps pipelines, then help teams triage and fix what those tools surface.
Benchmark infrastructure against secure configuration baselines such as the CIS Google Cloud Foundation Benchmark, and against the infrastructure controls in frameworks like ISO 27001 and NIST 800-53.
Limit the risks AI agents themselves introduce: prompt injection, over-broad permissions, leaked secrets, and changes made without review.
Measure whether agent-driven fixing is actually working across teams, and improve the approach as you learn what does and doesn't land.

What You’ll Bring

5-8 years running or securing cloud infrastructure, ideally having built and operated production platforms on GCP or AWS before moving into security.
Deep, hands-on GCP knowledge, including its security services, plus a good working knowledge of AWS; equivalent AWS IAM depth is a bonus.
Strong grasp of GCP IAM: resource hierarchy (organization, folders, projects), IAM roles and conditions, service accounts and workload identity federation, organization policy constraints, and least privilege design.
Practical Kubernetes and container experience, primarily GKE: cluster hardening (private clusters, Autopilot), RBAC, admission control, workload identity, network policy, and secure container images. EKS experience is also welcome.
Comfort with infrastructure as code (for example Terraform) and automated deployment: CI/CD pipelines and GitOps.
Solid DevSecOps practice: threat modeling, early shift-left testing, and continuous monitoring, plus the judgment to turn that into concrete infrastructure changes.
Confidence using AI coding agents (for example Claude Code) day to day, including writing the guidance and prompts that keep their output reliable at scale.
A critical eye for AI-generated infrastructure output: able to spot invented resources, unsafe defaults, and overly broad IAM permissions before anything ships.
Comfort working consultatively: influencing and negotiating changes with teams who own and run the infrastructure, rather than owning it yourself.
Nice to have: application security knowledge (for example code review, OWASP Top 10), or experience with Snyk's products or similar security testing tools.

About Snyk

Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.

Equal Employment Opportunity

Snyk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Compensation Range: $192K - $240K

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More about this job

Responsibilities

Threat-model Snyk’s GCP and AWS infrastructure, then use AI coding agents to draft and scale Terraform, Kubernetes, and pipeline security fixes for review by the teams that own the systems. Improve cloud identity, Kubernetes and container security, automated testing, and agent safeguards while measuring the effectiveness of the approach.

Requirements

Requires 5–8 years of experience running or securing cloud infrastructure, deep hands-on GCP knowledge, working AWS knowledge, and practical Kubernetes, Terraform, CI/CD, and GitOps experience. Candidates should be comfortable using and critically reviewing AI coding agents, applying DevSecOps practices, and influencing infrastructure-owning teams; application security or security-tool experience is a plus.

Skills

GCP Cloud Security
AWS Cloud Security
GCP IAM
Kubernetes Security
Terraform
Infrastructure as Code
CI/CD
GitOps
Threat Modeling
DevSecOps
AI Coding Agents
Security Baselines
Container Security
CSPM
Least Privilege
Consultative Communication

Benefits

Health Benefits
Wellness Benefits
Financial Security Benefits
Work-Life Balance

Visa sponsorship

Not detected in the job text

Keywords

GCP
AWS
Google Cloud IAM
AWS IAM
Terraform
Kubernetes
GKE
EKS
AI Coding Agents
Claude Code
MCP Servers
CSPM
CI/CD
GitOps
Threat Modeling
DevSecOps
Workload Identity Federation
RBAC
Admission Control
Network Policy
Artifact Registry
Binary Authorization
Infrastructure as Code
CIS Google Cloud Foundation Benchmark
ISO 27001
NIST 800-53
Prompt Injection
OWASP Top 10
Least Privilege

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