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Senior Platform Engineering

Alquemy

  • Toronto, ON
  • 23 days ago

    Highlights

    This role will provide technical leadership across cloud infrastructure, DevOps, platform reliability, monitoring, security, and automation while partnering with cross-functional technology teams to deliver secure, scalable, and high-performing solutions. Cloud & Data Platform Engineering: Lead the design and management of Azure infrastructure and Databricks platforms, including networking, security, identity, workspaces, clusters, SQL warehouses, and governance.

    Numbers & Facts

    LocationToronto, ON

    Description


    Senior Platform Engineer

    Position Overview

    We are seeking a Senior Platform Engineer to lead the design, development, automation, and reliability of enterprise cloud and data platforms. This role will provide technical leadership across cloud infrastructure, DevOps, platform reliability, monitoring, security, and automation while partnering with cross-functional technology teams to deliver secure, scalable, and high-performing solutions.

    Key Responsibilities
    • Technical Leadership: Provide technical direction, establish engineering standards, mentor team members, and align platform initiatives with enterprise technology objectives.
    • Cloud & Data Platform Engineering: Lead the design and management of Azure infrastructure and Databricks platforms, including networking, security, identity, workspaces, clusters, SQL warehouses, and governance.
    • Infrastructure as Code & Automation: Design and maintain reusable Terraform modules and automation solutions for consistent, scalable infrastructure and platform deployments.
    • CI/CD & Release Management: Develop and enhance CI/CD pipelines using Azure DevOps, GitHub Actions, Terraform, and related tools. Implement automated testing, security scanning, approvals, and deployment controls.
    • Site Reliability & Observability: Establish monitoring, logging, alerting, and reliability practices. Troubleshoot complex platform and performance issues while improving system availability and reducing incident resolution times.
    • Security & Compliance: Implement secure access controls, secrets management, vulnerability remediation, platform hardening, and least-privilege practices across cloud and data environments.
    • Incident Management: Lead responses to major platform incidents, coordinate communications, conduct root-cause analysis, and drive corrective actions and continuous improvement.
    • Platform Optimization: Identify opportunities to improve platform performance, reliability, scalability, cost efficiency, and operational processes.
    • Stakeholder & Vendor Collaboration: Partner with engineering, security, networking, cloud operations, data, and external technology teams to resolve issues and deliver platform enhancements.
    • Mentorship & Documentation: Mentor engineers and promote best practices in automation, documentation, deployment, testing, and platform support.

    Qualifications & Key Requirements
    • 15 years of IT experience in large-scale enterprise environments.
    • 5 years of hands-on experience with Microsoft Azure, including networking, security, identity, storage, compute, and PaaS services.
    • 5 years of experience with Databricks or similar enterprise data platforms.
    • 5 years of experience with Terraform and Infrastructure as Code.
    • 5 years of experience developing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
    • Strong scripting and automation skills using Python, Bash, PowerShell, or similar languages.
    • Hands-on experience with Docker and container orchestration technologies such as Kubernetes/AKS.
    • Strong understanding of cloud networking, private connectivity, firewalls, RBAC, identity management, and zero-trust principles.
    • Experience with enterprise databases and data services such as Azure SQL, Cosmos DB, data lakes, data warehouses, and event-streaming platforms.
    • Strong understanding of SDLC, Git-based development, GitOps, configuration management, and release management practices.
    • Experience with cloud monitoring, observability, incident management, and root-cause analysis.
    • Strong communication, leadership, stakeholder management, and mentoring skills.
    • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field preferred.

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