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

Work arrangement
Yes