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Emburse

Platform Engineer III

Toronto, ON · On-site

At Emburse, you'll not just imagine the future - you'll build it. As a leader in expense ... Administer Kubernetes and EKS environments, including installation, networking, security ...

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    Infographic showing various Networking job openings at Emburse in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% Physical, 24% Hybrid, and 3% Remote job distribution.

    Platform Engineer III

    Emburse

    Toronto, ON • On-site

    Full-time

    Re-posted 9 days ago

    Job description

    Who We Are:
     
    At Emburse, you'll not just imagine the future - you'll build it. As a leader in expense intelligence, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.

    The Platform Engineer III is responsible for building, maintaining, and improving the infrastructure, automation, and platform services that support reliable SaaS delivery. This role focuses on infrastructure as code, Kubernetes and EKS operations, CI/CD, GitOps, observability, incident response, production reliability, and self-service platform capabilities.

    What you will do :

    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. 
    What we are looking for :
    Required skills and experience:
    • 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.
    Education and experience:
    • 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.
    Why Emburse?
     
    Finance is changing-and at Emburse, we're leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend-so they can focus on what's next, not what's slowing them down.
    A Company with Momentum - We serve 12M+ users across 120 countries, helping businesses modernize
     their finance operations.
    A Team That Innovates - Work alongside some of the brightest minds in finance, tech, and AI to solve real-
     world challenges.
    A Culture That Empowers - Competitive pay, flexible work, and an inclusive, collaborative environment that
     supports your success.
    A Career That Matters - Your work here drives efficiency, innovation, and smarter financial decision-making
     for businesses everywhere. 
     
    Shape your future & find what's next at Emburse. 
     
    Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.
    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.
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