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SeniorRemoteCanada

Cloud Infrastructure Engineer

J
jobgether
Зарплата
$8,600–$11,300
Уровень
Senior
Формат
Remote
О роли

Описание вакансии

About the company

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.

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.

Responsibilities
  • Identify and remediate high-severity vulnerabilities, develop hardened container base images, and maintain secure image build and distribution pipelines with minimal known vulnerabilities.
  • Operate, maintain, and scale Kubernetes platforms while implementing Kyverno admission policies and policy-as-code controls to enforce security standards and cluster governance.
  • Design, implement, and support secure, highly available authentication infrastructure using Keycloak, with working knowledge of IdentityServer and related identity management technologies.
  • Develop maintainable automation and platform tooling using Python, Go, Terraform, Terragrunt, CloudFormation, and Ansible to improve reliability and reduce repetitive operational tasks.
  • Identify opportunities to use AI-assisted automation to streamline routine operations, improve workflows, and increase engineering productivity.
  • Oversee AWS infrastructure operations, including services such as ECS, EKS, IAM, and Security Hub, with additional exposure to Google Cloud Platform where required.
  • Maintain and enhance automated delivery pipelines using GitHub Workflows, ArgoCD, and infrastructure-as-code practices.
  • Troubleshoot Linux and infrastructure issues, respond to incidents, participate in an on-call rotation, and implement improvements that prevent recurring problems.
  • Work with security, platform engineering, and other technical stakeholders to resolve complex challenges, communicate risks, and continuously improve infrastructure standards.
Requirements
  • Strong hands-on experience with AWS in production environments, particularly ECS, EKS, IAM, and Security Hub. Familiarity with GCP is an advantage.
  • Proven experience operating Kubernetes platforms, working with Docker, hardening container images, and managing container security and vulnerability remediation.
  • Practical knowledge of vulnerability management, CVE remediation, secure base image pipelines, policy-as-code, and Kubernetes admission control tools such as Kyverno.
  • Proficiency in Python and Go for developing scripts, tooling, and automation that improve infrastructure reliability and operational efficiency.
  • Experience with Terraform and Terragrunt, alongside tools such as Ansible and CloudFormation, to provision and manage cloud environments consistently.
  • Hands-on experience with automated delivery and deployment workflows, particularly GitHub Workflows and ArgoCD.
  • Practical experience implementing, configuring, or maintaining authentication services such as Keycloak or IdentityServer.
  • Strong Linux system administration and debugging skills, with the ability to investigate complex infrastructure, networking, security, and operational issues.
  • An interest in applying AI tools to automate repetitive work, improve operational workflows, and develop maintainable engineering solutions.
  • A proactive, analytical mindset, sound technical judgment, and the ability to work independently in ambiguous environments while communicating effectively with cross-functional teams.
  • Willingness to participate in an on-call rotation and take responsibility for the reliability, security, and continuous improvement of production infrastructure.
Conditions
  • 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 e
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