Senior Cloud Infrastructure Engineer

<h3>Accountabilities</h3><li>
<strong>Strengthen platform security:</strong>Identify and remediate high-severity vulnerabilities, develop hardened container base images, and maintain secure image build and distribution pipelines with minimal known vulnerabilities.</li><li>
<strong>Manage Kubernetes infrastructure:</strong>Operate, maintain, and scale Kubernetes platforms while implementing Kyverno admission policies and policy-as-code controls to enforce security standards and cluster governance.</li><li>
<strong>Maintain authentication services:</strong>Design, implement, and support secure, highly available authentication infrastructure using Keycloak, with working knowledge of IdentityServer and related identity management technologies.</li><li>
<strong>Automate infrastructure operations:</strong>Develop maintainable automation and platform tooling using Python, Go, Terraform, Terragrunt, CloudFormation, and Ansible to improve reliability and reduce repetitive operational tasks.</li><li>
<strong>Leverage AI for operational efficiency:</strong>Identify opportunities to use AI-assisted automation to streamline routine operations, improve workflows, and increase engineering productivity.</li><li>
<strong>Manage cloud infrastructure:</strong>Oversee AWS infrastructure operations, including services such as ECS, EKS, IAM, and Security Hub, with additional exposure to Google Cloud Platform where required.</li><li>
<strong>Improve CI/CD and deployment workflows:</strong>Maintain and enhance automated delivery pipelines using GitHub Workflows, ArgoCD, and infrastructure-as-code practices.</li><li>
<strong>Own operational reliability:</strong>Troubleshoot Linux and infrastructure issues, respond to incidents, participate in an on-call rotation, and implement improvements that prevent recurring problems.</li><li>
<strong>Collaborate across teams:</strong>Work with security, platform engineering, and other technical stakeholders to resolve complex challenges, communicate risks, and continuously improve infrastructure standards.</li><h2>Requirements</h2><li>
<strong>Cloud infrastructure experience:</strong>Strong hands-on experience with AWS in production environments, particularly ECS, EKS, IAM, and Security Hub. Familiarity with GCP is an advantage.</li><li>
<strong>Container and Kubernetes expertise:</strong>Proven experience operating Kubernetes platforms, working with Docker, hardening container images, and managing container security and vulnerability remediation.</li><li>
<strong>Security and governance:</strong>Practical knowledge of vulnerability management, CVE remediation, secure base image pipelines, policy-as-code, and Kubernetes admission control tools such as Kyverno.</li><li>
<strong>Programming and automation:</strong>Proficiency in Python and Go for developing scripts, tooling, and automation that improve infrastructure reliability and operational efficiency.</li><li>
<strong>Infrastructure as code:</strong>Experience with Terraform and Terragrunt, alongside tools such as Ansible and CloudFormation, to provision and manage cloud environments consistently.</li><li>
<strong>CI/CD capabilities:</strong>Hands-on experience with automated delivery and deployment workflows, particularly GitHub Workflows and ArgoCD.</li><li>
<strong>Identity and authentication:</strong>Practical experience implementing, configuring, or maintaining authentication services such as Keycloak or IdentityServer.</li><li>
<strong>Linux and troubleshooting:</strong>Strong Linux system administration and debugging skills, with the ability to investigate complex infrastructure, networking, security, and operational issues.</li><li>
<strong>AI-assisted engineering:</strong>An interest in applying AI tools to automate repetitive work, improve operational workflows, and develop maintainable engineering solutions.</li><li>
<strong>Ownership and collaboration:</strong>A proactive, analytical mindset, sound technical judgment, and the ability to work independently in ambiguous environments while communicating effectively with cross-functional teams.</li><li>
<strong>Operational readiness:</strong>Willingness to participate in an on-call rotation and take responsibility for the reliability, security, and continuous improvement of production infrastructure.</li><h2>Benefits</h2><li>
<strong>Competitive compensation:</strong>Annual salary range of<strong>CAD $102,600–$135,000</strong>, depending on skills, experience, and internal equity.</li><li>
<strong>Remote work:</strong>A fully remote opportunity for candidates based in Canada.</li><li>
<strong>International exposure:</strong>The opportunity to collaborate with teams across a global technology organization and contribute to infrastructure supporting services at significant scale.</li><li>
<strong>Technical development:</strong>Hands-on experience with modern cloud infrastructure, Kubernetes security, identity systems, infrastructure automation, and AI-assisted engineering.</li><li>
<strong>Meaningful ownership:</strong>The opportunity to influence platform architecture, strengthen security practices, and improve operational efficiency.</li><li>
<strong>Collaborative environment:</strong>Work with cross-functional technical teams in a dynamic setting that encourages continuous improvement, knowledge sharing, and professional growth.</li><li>
<strong>Inclusive workplace:</strong>Join an environment that values diversity, different perspectives, and a strong sense of belonging.</li>