Senior Cloud Security Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Cloud Security Engineer in Canada.

This is a high-impact opportunity for a cloud security expert to help shape and strengthen the security posture of a rapidly evolving cloud-native platform ecosystem. In this role, you will work at the intersection of cloud infrastructure, DevOps, Kubernetes, and emerging AI-driven technologies to build scalable and secure environments that support global operations. You will collaborate closely with engineering, SRE, and platform teams to establish security standards, implement best practices, and influence architectural decisions across modern cloud environments. The position offers a dynamic and innovation-focused workplace where curiosity, ownership, and continuous learning are highly valued. Ideal candidates are hands-on security professionals who thrive in fast-moving environments and are passionate about enabling secure engineering at scale. This role is well suited for someone looking to combine deep technical expertise with strategic influence in a collaborative remote-first setting.

Accountabilities

• Define and implement cloud and platform security standards across AWS, Kubernetes, CI/CD pipelines, and SaaS environments.
• Translate complex infrastructure and platform architectures into practical and actionable security controls and policies.
• Design and enforce least-privilege access models across cloud platforms, Kubernetes environments, and identity systems.
• Secure CI/CD pipelines through robust identity management, secrets handling, and deployment environment protections.
• Validate and strengthen network security controls, segmentation strategies, and workload isolation mechanisms.
• Develop and maintain security reference architectures, technical documentation, and operational decision records.
• Monitor, assess, and report on cloud security posture using risk-based metrics and security analytics.
• Partner closely with DevOps, SRE, and engineering teams as the primary security advisor for cloud-native platforms.
• Contribute to the protection of AI-driven workloads and emerging cloud security technologies.
• Support continuous improvement initiatives related to cloud governance, compliance, and operational resilience.
  
  

Requirements

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• Significant experience in cloud security, infrastructure security, or platform security within modern cloud-native environments.
• Deep hands-on expertise with AWS services including identity management, networking, compute, logging, and data security.
• Strong operational knowledge of Kubernetes security, including access controls, workload isolation, and network policies.
• Proven experience securing CI/CD pipelines and cloud-native software delivery workflows.
• Advanced Infrastructure-as-Code experience, particularly with Terraform and the ability to review Helm charts.
• Experience designing and documenting security architectures and implementation standards used by engineering teams.
• Strong understanding of identity and access management, secrets management, and cloud governance principles.
• Ability to work independently while influencing technical decisions across cross-functional engineering teams.
• Excellent communication and collaboration skills in remote and distributed environments.
• Interest or experience with AI-driven technologies, agentic workloads, or emerging cloud security patterns is considered a plus.
  
  

Benefits

• Competitive compensation package with annual performance bonus opportunities.
• Stock option eligibility.
• Comprehensive medical, dental, and vision insurance coverage.

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• Retirement savings support and long-term financial wellness programs.
• Flexible and open paid time off policy.
• Paid sick leave and extended leave for major life events.
• Dedicated learning and development resources including LinkedIn Learning access.
• Career development programs and internal growth opportunities.
• Employee wellness initiatives and assistance programs.
• Fully remote work environment within Canada.
• Collaborative and inclusive culture focused on innovation, learning, and professional growth.
  
  

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!

Why Apply Through Jobgether?

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.