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Senior Security Engineer Jobs in Quebec (NOW HIRING)

Alteo

Senior DevOps [#4957]

Montreal, QC · Hybrid

... E practices * Possess excellent analytical and synthesis skills and the ability to make ... Knowledge of privacy laws, IT security rules, and guidelines (a plus) * Knowledge of Fluentbit ...

PSP Investments

Senior Applied AI Engineer

Montreal, QC · On-site +1

Keep Floyd production-grade - reliability, latency, cost and monitoring - within the security and ... a senior engineer who has shipped real AI products and likes working close to the people who use ...

Pfizer

Senior Associate, Metadata Engineering

Kirkland, QC · On-site

CA$79K - CA$132K/yr

As a senior meta-model engineer for the Collibra platform team, you will shape the asset model, build/maintain workflows, external integrations, and guide standards for security, lineage, and ...

Apertera

Senior Software Engineer

Montreal, QC · On-site

... securities regulators. Apertera is Canadian-owned, ISO 17100 and SOC 2 certified. Our core values ... Collaboration Job Summary We are seeking a talented and motivated Senior Software Engineer to ...

Norbert Health

Senior Backend Engineer

Montreal, QC · On-site

The Role We're looking for a Senior Backend Engineer to own and evolve the backbone of our system ... Own compliance and security posture: documentation, cybersecurity, privacy * Make critical ...

Norbert Health

Senior Backend Engineer

Montreal, QC · On-site

The Role We're looking for a Senior Backend Engineer to own and evolve the backbone of our system ... Own compliance and security posture: documentation, cybersecurity, privacy * Make critical ...

Tucows Inc.

Senior Backend Engineer

Montreal, QC · Remote

CA$145K - CA$155K/yr

As a Senior Backend Software Engineer, you will design, build, and maintain the services, databases ... Improve system performance, security, observability, and maintainability. * Review code and ...

Tucows Domains

Senior Backend Engineer

Montreal, QC · Remote

CA$145K - CA$155K/yr

As a Senior Backend Software Engineer, you will design, build, and maintain the services, databases ... Improve system performance, security, observability, and maintainability. * Review code and ...

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Showing results 41-60

All JobsSecurity Engineer JobsSenior Security Engineer JobsSenior Security Engineer Jobs in Quebec

Senior Security Engineer information

See Quebec salary details

$58K

$130.5K

$184.5K

How much do senior security engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior security engineer in Quebec is $130,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $146,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a senior security engineer?

To thrive as a Senior Security Engineer, you need deep expertise in network security, risk assessment, incident response, and a relevant degree or equivalent experience. Familiarity with security tools such as SIEM platforms, firewalls, IDS/IPS, and certifications like CISSP or CEH are typically required. Strong analytical thinking, effective communication, and leadership abilities help you excel in complex security environments. These skills and qualifications are crucial to safeguard organizational assets and maintain robust defense against evolving cyber threats.

How does a senior security engineer collaborate with other departments to enhance organizational security?

Senior Security Engineers frequently work cross-functionally, partnering with IT, software development, and compliance teams to implement security best practices and respond to incidents. They play a key role in conducting security reviews, advising on secure design, and leading incident response efforts. Effective communication and collaboration are essential, as these engineers often translate technical risks into business terms and provide guidance during audits or vulnerability assessments. This collaborative approach helps ensure comprehensive protection across all organizational assets.

What is the difference between Senior Security Engineer vs Security Analyst?

AspectSenior Security EngineerSecurity Analyst
Required CredentialsCertifications like CISSP, CISA, CEH; Bachelor's or Master's in Cybersecurity or related fieldsCertifications like CompTIA Security+, GIAC Security Essentials; Bachelor's in Cybersecurity, Information Technology, or related fields
Work EnvironmentDesigning security systems, implementing security measures, leading security projectsMonitoring security alerts, analyzing threats, conducting security assessments
Employer & Industry UsageUsed in tech companies, finance, healthcare for security infrastructure rolesCommon in various industries for threat detection and incident response

The main difference is that Senior Security Engineers focus on designing and implementing security solutions, while Security Analysts primarily monitor and analyze security threats. Both roles require relevant certifications and work in similar environments, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Security Engineer jobs in Quebec?

The most popular types of Security Engineer jobs in Quebec are:

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

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

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

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

What cities in Quebec are hiring for Senior Security Engineer jobs?

Cities in Quebec with the most Senior Security Engineer job openings:

What are popular job titles related to Senior Security Engineer jobs in QC?

For Senior Security Engineer jobs in QC, the most frequently searched job titles are:

Senior Security Engineer jobs near you
Infographic showing various Senior Security Engineer job openings in Quebec as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $130,454 per year, or $62.7 per hour.

Senior Generative AI Software Engineer

Apertera

Montreal, QC • On-site

Full-time

Re-posted 9 days ago

Job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values: 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
About the Role

We are looking for a Senior Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment.
  • Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products.
  • Develop prototypes of GenAI and LLM application to translation use cases.
  • Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
  • Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations
  • Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs.
  • Communicate technical strategies effectively across teams and manage stakeholder expectations. 
Requirements
  • Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred.
  • 3+ years of industry experience developing GenAI and LLM applications.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, SFT. 
  • Working knowledge and project-based record of at least one of the following:  continued pre-training, PPO/DPO/GRPO, Agentic systems (including harness engineering, MCP server, etc.).
  • Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git).
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred. 
  • Expert skills of PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

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