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Aws Security Engineer Jobs in Alberta (NOW HIRING)

Collaborate with product, security, and engineering teams to deliver secure, scalable solutions ... Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex ...

Collaborate with product, security, and engineering teams to deliver secure, scalable solutions ... Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex ...

You'll work across AWS and Kubernetes environments, distributed Linux edge hardware, and the ... Partner with security to bake guardrails into the platform: secrets management, policy-as-code ...

Senior Platform Engineer

Calgary, AB · Remote

CA$157K - CA$212K/yr

Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems. What you may have: * Deep experience designing, deploying, and operating AWS ...

Working knowledge of various cloud services such as Azure, AWS, ServiceNow or Google Cloud Services, and/or technical cloud certifications such as Azure Fundamentals, Azure Security Engineer, AWS ...

Design, build, and maintain the AWS infrastructure supporting Clio's production environments ... Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and ...

You'll collaborate with project managers, engineers, and client representatives to deliver tailored ... Cloud Security * Hands‑on with cloud‑native network security in Azure, AWS, GCP; secure ...

Showing results 21-40

Aws Security Engineer information

See Alberta salary details

$50

$78

$147

How much do aws security engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for aws security engineer in Alberta is $78.56, according to ZipRecruiter salary data. Most workers in this role earn between $61.54 and $82.45 per hour, depending on experience, location, and employer.

What is an AWS Security Engineer?

An AWS Security Engineer is responsible for designing, implementing, and maintaining security measures to protect cloud infrastructure on Amazon Web Services (AWS). They work to secure applications, data, and networks by managing identity and access controls, monitoring threats, and ensuring compliance with security best practices. Their role includes conducting security assessments, responding to incidents, and implementing automated security solutions. AWS Security Engineers collaborate with development and operations teams to ensure a secure cloud environment while optimizing performance and scalability.

What are the key skills and qualifications needed to thrive as an AWS Security Engineer?

To thrive as an AWS Security Engineer, you need a solid understanding of cloud security principles, AWS services, identity and access management, and infrastructure as code practices, often backed by a degree in computer science or related fields. Familiarity with tools such as AWS Security Hub, GuardDuty, CloudTrail, and certifications like AWS Certified Security – Specialty is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills are valuable soft skills in this position. These competencies are crucial for identifying risks, implementing safeguards, and collaborating with teams to ensure robust cloud security within an evolving technological landscape.

What are some common challenges AWS Security Engineers face in their day-to-day work?

AWS Security Engineers frequently encounter the challenge of balancing robust security controls with the need for agility and scalability in rapidly changing cloud environments. They must stay up to date with evolving AWS services and emerging cybersecurity threats, often requiring close collaboration with DevOps and development teams to ensure secure deployment pipelines. Managing complex access permissions and monitoring for anomalous activities across multiple AWS accounts can also be demanding. However, these challenges provide excellent opportunities to build expertise in both cloud infrastructure and security operations, contributing to professional growth and making the role intellectually rewarding.

What are popular job titles related to Aws Security Engineer jobs in Alberta?

For Aws Security Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Aws Security Engineer jobs in Alberta look for?

The top searched job categories for Aws Security Engineer jobs in Alberta are:

Infographic showing various Aws Security Engineer job openings in Alberta as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $163,400 per year, or $78.6 per hour.

Mental Health Expert - Remote

YO AI Labs

Edmonton, AB • Remote

$200 - $350/hr

Full-time

Posted 7 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.