Staff Platform Engineer defining cloud and DevSecOps strategy for Robots & Pencils’ enterprise AI systems. Leading Kubernetes, AI/ML infrastructure, migrations, reliability, security, and platform standards remotely in Canada.
About the role
- Site Reliability Engineer ensuring Emburse’s systems are highly available, scalable, and performant. Collaborating across teams to drive automation and operational excellence in cloud infrastructure.
Responsibilities
- Develop and maintain infrastructure as code using Terraform, OpenTofu, Ansible, and related automation tooling.
- Administer Kubernetes and EKS environments, including installation, networking, security, troubleshooting, monitoring, autoscaling, upgrades, and cluster management.
- Build, manage, and support containerized workloads using Kubernetes, EKS, and related cloud-native technologies.
- Support GitOps-based deployment workflows using ArgoCD, Kustomize, GitHub Actions, Jenkins, and Kubernetes manifests.
- Build and improve self-service platform capabilities that help engineering teams provision infrastructure, onboard services, and deploy applications efficiently.
- Monitor site availability, investigate production issues, and provide remediation for incidents.
- Create and maintain monitoring, logging, alerting, dashboards, APM configuration, and incident reporting.
- Support secure-by-default platform practices, including least-privilege Kubernetes configurations, container vulnerability scanning, static analysis, and infrastructure-as-code security checks.
- Troubleshoot infrastructure, application platform, Linux, networking, IAM, and cloud-related issues.
- Write SQL, ELK, and other operational queries to diagnose issues and support production investigations.
- Create, review, merge, and apply infrastructure pull requests using tools such as Ansible, Terraform, and OpenTofu.
- Create and maintain AMIs, support rightsizing, autoscaling, and infrastructure optimization.
- Serve as a technical lead on complex platform projects, driving work to successful completion on time and on budget.
- Leverage AI-assisted engineering tools, such as Cursor, GitHub Copilot, Claude Code, or similar technologies, to improve development speed, code quality, automation, documentation, and troubleshooting workflows.
Requirements
- Experience with infrastructure as code and the full lifecycle of SaaS implementations.
- Strong Kubernetes administration experience, including networking, security, troubleshooting, monitoring, and day-2 operations.
- Experience with containers, EKS, Kubernetes, GitHub Actions, Jenkins, ArgoCD, Kustomize, and cloud-native deployment practices.
- AWS proficiency, including basic IAM management, autoscaling, AMIs, and cloud infrastructure operations.
- Intermediate to advanced Linux and Unix skills.
- Understanding of TCP/IP, OSI model, stateless architecture, infrastructure, and system architecture.
- Ability to write SQL and ELK queries.
- Experience with monitoring applications, APM tools, logs, alerts, and incident diagnostics.
- Experience with secure delivery practices, including vulnerability scanning, static analysis, and least-privilege infrastructure patterns.
- Ability to effectively use AI-assisted engineering tools, such as Cursor, GitHub Copilot, Claude Code, or similar technologies, while applying sound engineering judgment, code review practices, and security awareness.
- Ability to merge and apply pull requests for Ansible, Terraform, OpenTofu, or similar infrastructure tooling.
- Deep understanding of release cycles, SDLC, infrastructure, and architecture.
- Strong analytical, reasoning, troubleshooting, and problem-solving skills.
- Excellent written and verbal communication skills in English.
- Strong listening, teamwork, time management, and attention to detail.
- Minimum of 3 years of direct experience in a similar role with a Bachelor’s degree in Computer Science or related STEM field.
- Minimum of 7 years of direct experience in a similar role without a Bachelor’s degree.
Benefits
- Competitive pay
- Flexible work
- Inclusive, collaborative environment
- Equal employment opportunities
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