Platform Engineer III (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Platform Engineer III (AI): Building and maintaining scalable infrastructure and platform services for a SaaS travel and expense platform with an accent on Kubernetes operations, GitOps workflows, and infrastructure as code. Focus on improving self-service capabilities, ensuring production reliability, and leveraging AI-assisted engineering tools to optimize development and deployment workflows.
Location: Toronto (Hybrid)
Company
is a leader in travel and expense solutions, providing an AI-powered platform that helps organizations modernize financial operations and optimize spend.
What you will do
- Develop and maintain infrastructure as code using Terraform, OpenTofu, and Ansible.
- Administer Kubernetes and EKS environments, including networking, security, and cluster management.
- Support GitOps-based deployment workflows using ArgoCD, GitHub Actions, and Jenkins.
- Build self-service platform capabilities to help engineering teams provision infrastructure and deploy applications.
- Monitor site availability, investigate production issues, and provide incident remediation.
- Leverage AI-assisted engineering tools like Cursor and GitHub Copilot to improve automation and code quality.
Requirements
- Minimum 3 years of experience in a similar role with a Bachelor’s degree in a STEM field, or 7 years without a degree.
- Strong Kubernetes administration experience, including networking, security, and day-2 operations.
- Proficiency in AWS, including IAM, autoscaling, and cloud infrastructure operations.
- Experience with containers, EKS, GitHub Actions, Jenkins, ArgoCD, and Kustomize.
- Intermediate to advanced Linux and Unix skills.
- Excellent written and verbal communication skills in English.
Culture & Benefits
- Competitive pay and inclusive, collaborative work environment.
- Flexible work arrangements.
- Opportunity to work with cutting-edge AI-powered financial technology.
- Focus on professional growth and solving real-world challenges at scale.
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