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Added 13 mins ago
F
Applied AI Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
…chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its…
Added 13 mins ago
EC
Future Leaders Program – Management Trainee
Emco Corporation: Plumbing, HVAC, Waterworks, Industrial, Irrigation, Fire Protection
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- $52,500 CAD / year
- Full-time
After completing the program, you’ll be ready to step into a Profit Centre Manager role - running your own location like a business owner.
Added 13 mins ago
C
Consultant, Product Delivery
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- Full-time
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DG
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- Full-time
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Added 13 mins ago
S
Senior Product Security Engineer
Snyk
Ottawa, ON
- $192,000 to $240,000 CAD / year
- Full-time
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…
Added 13 mins ago
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- $55,000 to $65,000 CAD / year
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Added 13 mins ago
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TD
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- Full-time
Join TD Canada Trust and Think like a customer, Act like an Owner, Innovate with purpose and Execute with Speed and Impact.
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Product Owner - TDI Public Site
TD
Saint John, NB · Halifax, NS · Markham, ON · Toronto, ON · Laval, QC · Montreal, QC
- Full-time
The Product Owner I, Pan-TDI Public Site, is accountable for maximizing the customer and business value delivered through TD Insurance public digital experiences.
Added 28 mins ago
C
Banking Centre Leader I
CIBC
Brampton, ON · Mississauga, ON
- Full-time
…them to perform at their best. You’ll think and act like an owner by helping clients and team members succeed, finding ways to fuel the right kind of revenue growth and taking…
Added 28 mins ago
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- Full-time
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- Full-time
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Added 42 mins ago
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Kelowna, BC
- Full-time
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- Full-time
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Added 42 mins ago
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- Part-time
Work for a local business owner while having the support of a strong retail brand. Benefit from a purchase discount program, flexible and varied schedules, competitive pay and online…
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Distribution Engineer (Burnaby or Victoria)
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…accountability as Professional of Record or by fulfilling the Owner’s Engineer role, reviewing and accepting consultant designs to ensure compliance with BC Hydro standards, safety…
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…position, a scarce, limited defensible asset, to a business owner who has likely never been offered anything like it.Your work is to identify the strongest operator in a given region,…
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Assistant Superintendent / Senior Heavy Duty Cleaner
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Added 43 mins ago
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Senior Full Stack Engineer
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Remote, Canada
- $180,000 to $230,000 CAD / year
- Full-time
- Remote
…chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its…
Added 58 mins ago
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Added 58 mins ago
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Renewable Energy Engineer (Entry-Level)
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- $80,000 to $110,000 CAD / year
- Full-time
…wind and battery energy storage (BESS), and as a long-term owner we stay with every project from the first feasibility study through years of operation. We are expanding our Toronto team…
Added 58 mins ago
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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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