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Senior Cloud Cybersecurity Engineer

salary Salary :

$236,000 monthly

Job Description - Senior Cloud Cybersecurity Engineer










This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Cybersecurity Engineer based in Canada.


This is a high-impact cloud security engineering role focused on building, operating, and continuously improving detection and response capabilities across large-scale cloud and container environments. You will work at the intersection of cloud security, DevSecOps, and software engineering, designing automated, code-driven defenses that identify and neutralize threats before they impact production systems. The role spans Azure, AWS, and Kubernetes environments, requiring strong hands-on engineering skills and a deep understanding of modern attacker behaviors. You will collaborate closely with security, detection, and platform engineering teams to translate threat intelligence into actionable detection logic and resilient security controls. A key part of your work will involve building detection-as-code systems, improving incident response automation, and strengthening the overall security posture of complex cloud infrastructure. This is a highly technical, operationally critical role where you will also participate in on-call rotations and support real-time incident response. You will play a central role in shaping how cloud security is engineered, automated, and scaled.










Accountabilities:


In this role, you will design, build, and operate cloud detection and response systems that protect large-scale cloud and Kubernetes environments. You will focus on automation, proactive threat detection, and strengthening security engineering practices across production systems.



  • Build and operate detection and response systems across AWS, Azure, and Kubernetes environments using DevSecOps and automation-as-code principles

  • Design, implement, and continuously improve cloud security controls for preventative, detective, and responsive use cases

  • Develop detection-as-code logic, security playbooks, and automated response workflows to identify and mitigate threats

  • Analyze cloud and container environments to characterize malicious behavior and unauthorized activity

  • Integrate threat intelligence, vulnerability data, and industry trends into detection engineering and hunting strategies

  • Collaborate with engineering, IT, and security teams to design scalable and resilient security solutions

  • Develop and maintain security runbooks, incident response processes, and operational playbooks

  • Support incident response and on-call rotations for critical security events

  • Build observability and analytics for security signals, including logs, alerts, and behavioral indicators

  • Drive continuous improvements in cloud and Kubernetes security posture across the organization


Requirements


You bring strong cloud security engineering experience combined with hands-on software development and automation skills. You are comfortable operating in complex distributed environments and responding to production security incidents.



  • 5–7+ years of experience in cloud security detection, response, or security engineering roles in AWS and/or Azure environments

  • 3+ years of hands-on experience securing and monitoring Kubernetes environments (e.g., AKS, EKS)

  • Strong understanding of modern attacker techniques (MITRE ATT&CK, TTPs) across cloud, container, and Linux environments

  • Experience building detection rules, security analytics, and incident response automation workflows

  • Proficiency in querying and analyzing security data using SQL, KQL, SPL, or similar tools

  • Strong programming skills in Python or Go for building detection-as-code and automation tools

  • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, ARM, or Pulumi

  • Familiarity with CI/CD pipelines and DevOps practices (e.g., GitHub Actions, Jenkins)

  • Strong troubleshooting and root-cause analysis skills in production environments

  • Ability to operate under pressure and respond effectively to critical security incidents

  • Strong communication and collaboration skills across technical and cross-functional teams


Nice to have:



  • Experience in regulated environments (e.g., FedRAMP, ISO 27001, NIST frameworks, or similar)

  • Exposure to security observability, threat hunting, or detection engineering programs

  • Experience with advanced cloud-native security tooling or runtime protection systems


Benefits



  • Competitive compensation package aligned with senior cloud security engineering roles (up to ~C$236,000 base)

  • Remote or flexible work arrangements within Canada

  • Opportunity to work on large-scale, mission-critical cloud security systems

  • High ownership role with influence over detection engineering strategy and architecture

  • Exposure to advanced cloud, Kubernetes, and DevSecOps environments

  • Strong focus on automation, engineering excellence, and continuous improvement

  • Collaborative global security and engineering culture

  • Opportunities for professional growth, certifications, and technical leadership development

  • Inclusive environment with strong emphasis on diversity, learning, and impact.


How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!


 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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