ZipRecruiter

Log In

1

Google Security Jobs in Quebec (NOW HIRING)

PSP Investments

Senior Applied AI Engineer

Montreal, QC · On-site +1

... OpenAI, Google (Gemini) and Anthropic (Claude) APIs, routing each task to the right model and ... Keep Floyd production-grade - reliability, latency, cost and monitoring - within the security and ...

CS GROUP

Senior Software Developer C++

Montreal, QC · Hybrid

It also provides tailored neutralization capabilities to ensure the security of critical ... Proficiency of Google Test and QTest is required; * Significant experience with Linux environments ...

previous page

Showing results 41-60

All JobsGoogle Security JobsGoogle Security Jobs in Quebec

Google Security information

See Quebec salary details

$9

$35

$80

How much do google security jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for google security in Quebec is $35.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $51.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Security position, and why are they important?

To excel in a Google Security position, candidates generally need a solid background in cybersecurity principles, risk management, and a degree in computer science or a related field. Experience with security tools like SIEM systems, penetration testing platforms, and certifications such as CISSP or CEH are commonly required. Exceptional analytical thinking, problem-solving abilities, and effective communication skills help individuals succeed in dynamic, collaborative environments. These competencies ensure strong safeguarding of data and systems while facilitating successful teamwork and threat mitigation.

What is a Google Security?

A Google Security job involves protecting Google's systems, data, and users from cyber threats. Security professionals at Google work in areas like threat detection, incident response, cloud security, and vulnerability management. They develop cutting-edge security technologies, ensure compliance, and mitigate risks across Google's vast infrastructure. These roles require strong technical skills in cybersecurity, programming, and risk assessment.

How do I get into Google Security?

To pursue a role in Google Security, candidates typically need a strong background in cybersecurity, computer science, or related fields, along with experience in security protocols, threat analysis, and incident response. Relevant skills include knowledge of security tools, programming, and certifications such as CISSP or CEH. Applying through Google's careers website and demonstrating technical expertise and problem-solving abilities are essential steps.

What are some typical challenges faced by professionals in a Google Security role?

Working in Google Security often involves navigating complex and rapidly evolving threat landscapes while ensuring compliance with industry regulations across global operations. Professionals may face challenges in quickly identifying and mitigating zero-day vulnerabilities or responding to sophisticated phishing and social engineering attacks. Close collaboration with engineering, legal, and product teams is essential to create effective security solutions without hindering innovation. Staying current with emerging technologies and ongoing professional development are also integral parts of the role.

What are popular job titles related to Google Security jobs in Quebec?

For Google Security jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Google Security jobs in Quebec look for?

The top searched job categories for Google Security jobs in Quebec are:

Google Security jobs near you
Infographic showing various Google Security job openings in Quebec as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $73,221 per year, or $35.2 per hour.

AI Solutions Engineer

Connor, Clark & Lunn Financial Group Ltd.

Montreal, QC • Hybrid

Full-time

Re-posted 27 days ago

Job description

Interested in joining one of Canada's top-performing asset managers? We're hiring an AI Solution Engineer in our AI Solutions engineering team. You build the AI systems that Connor, Clark & Lunn Financial Group and our affiliate teams use in day-to-day work.  You turn signed-off specifications into production-ready AI assistants, agents, and workflow automations. You own build quality, reliability, safety, traceability, and maintainability, and partner closely with Data Engineering and MLOps to ship responsibly in a regulated financial services environment. We operate on a hybrid model with three days a week in-office to facilitate team collaboration.   

 
What You Will Do 

  • Build AI assistants and agents end-to-end from a signed-off spec, retrieval, tool integrations, prompt logic, source citation, and workflow integration 
  • Design and maintain retrieval pipelines, chunking strategy, metadata schema, indexing, access controls, and query optimization 
  • Engineer prompts with discipline, write, test, evaluate, and iterate; document failure modes and edge cases 
  • Own code quality and handoff, version artifacts, write tests where appropriate, and maintain clean, reviewable documentation 
  • Partner with Data Engineering to make data retrieval-ready, define ingestion needs, document assumptions, and validate data quality impacts 
  • Deploy through standard MLOps pipelines, monitoring/alerting, rollback readiness, cost controls, and operational runbooks 
  • Collaborate with affiliate teams during builds, demo real increments, capture feedback, and incorporate changes without breaking scope 
  • Document known limitations, risks, and mitigations before UAT, set expectations and prevent surprises for business stakeholders 

What You Will Bring 

  • Strong Python skills with experience shipping LLM applications end-to-end (build, test, deploy, and operate) 
  • Hands-on RAG experience, document processing, vector databases/search, and retrieval evaluation (precision/recall, grounding quality) 
  • Experience with agent frameworks (e.g., LangChain, LlamaIndex or equivalents), including tool use, orchestration, and multi-step flows 
  • Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offs 
  • Prompt engineering fundamentals, structured prompting, output constraints, adversarial/failure-mode testing, and reproducibility 
  • Comfort working with semi-structured/unstructured data (PDFs, financial docs, emails, notes) and translating it into retrieval-ready assets 
  • Delivery mindset and strong written communication, hold scope, write clear technical documentation, and finish to production-quality 

#LI-Hybrid #LI-KC1 

Apply