Manager, Cloud Platform

Role Overview

• Design and lead the build-out of an agentic platform operating model — where AI agents (Claude, GitHub Copilot, and custom agents) are the primary interface between product teams and cloud infrastructure
• Replace manual ticketing workflows with agent-driven request handling: developers describe what they need in natural language or via CLI, and agents generate, validate, and apply the required Terraform or configuration changes
• Build agent workflows that guide product teams through infrastructure onboarding, access requests, environment bootstrapping, and compliance checks — without requiring Cloud Platform team intervention
• Establish GitHub as the operational backbone: issues, PRs, documentation, and agent interactions all flow through a GitHub-native model
• Instrument agents with awareness of platform standards, security guardrails, and organizational context — so they enforce policy automatically rather than escalating to humans
• Define and communicate the agentic roadmap to senior leadership, engineering teams, and product stakeholders
• Own the security posture of the cloud platform layer — ensuring identity, access, and network controls are implemented consistently and enforced through automation across GCP, AWS, and Azure
• Implement and maintain security guardrails at the organization and pipeline levels, ensuring all infrastructure provisioned through the platform meets baseline security and compliance requirements
• Lead IAM governance: role binding, access provisioning, key rotation, service account hygiene, and Workload Identity Federation — with a goal of automating these controls through agents and policy-as-code
• Partner with the Security team to ensure platform capabilities align with organizational security standards and support audit requirements (SOC 2, PIPEDA, HIPAA-aligned practices)
• Build security into the self-service golden paths — so that teams provisioning infrastructure through approved patterns inherit secure defaults automatically
• Treat security findings as engineering problems: prioritize remediation through code, automation, and agent enforcement rather than manual review cycles
• Design opinionated “golden path” frameworks using Terraform, Terragrunt, and GitHub Actions that standardize and secure infrastructure patterns across GCP, AWS, and Azure
• Build and maintain a centralized module marketplace and IaC library that teams and agents can consume confidently
• Ensure all self-service capabilities are agent-accessible — designed for both human and programmatic consumption from day one
• Establish clear support boundaries: teams using the golden path get full support; non-standard configurations are self-supported
• Ensure operational coverage across the multi-cloud estate: GCP, AWS, and Azure
• Lead incident management with a focus on durable remediation — every significant incident produces agent runbooks, automation, or documentation that prevents recurrence
• Drive down request volume through agentic self-service, not headcount scaling — treating high ticket volume as an engineering problem to be automated away
• Coordinate with the SRE and observability teams to ensure platform services meet reliability expectations and incidents are routed and resolved efficiently
• Build and maintain CI/CD pipelines and Infrastructure-as-Code to automate provisioning, configuration management, patching, and compliance enforcement
• Contribute to the golden image factory initiative — ensuring CIS-hardened, patched base images are available on-demand across all cloud platforms
• Champion a “security as code” mindset across the team — policy enforcement, compliance checks, and access controls are implemented in pipelines and agents, not spreadsheets
• Manage a blended team of platform engineers and cloud operations engineers, with a deliberate focus on growing agent-building, automation, and security engineering skills
• Hire for engineers who are energized by building AI-driven, security-first systems — not just operating existing ones
• Foster a learning culture — create space for the team to grow in agentic development, cloud security, certifications, and IaC alongside day-to-day responsibilities
• Help shape and evolve team ceremonies and ways of working and contributing to how the team structures its delivery cadence, retrospectives, and planning without being the sole driver of execution
• Partner with Product, Engineering, Security, and Architecture teams to align platform and agentic capabilities with organizational priorities
• Serve as the internal champion for agentic workflows — helping product and engineering teams understand how to interact with the platform through agents rather than manual processes
• Report on platform adoption, agent utilization, security posture, and toil-reduction progress to senior leadership

Requirements

• 5+ years of progressive experience in cloud platform engineering or cloud operations — with at least 2 years in a people management or technical leadership role
• A genuine belief in agentic-first, security-first workflows and a track record of building automation that replaces manual processes — not just augments them
• Experience leading teams through transformation: from reactive, ticket-driven operations toward proactive, agent-driven platform delivery
• Strong communication skills — able to translate platform complexity into clear narratives for executive leadership and business stakeholders
• Hands-on experience across at least two of GCP, AWS, and Azure — with a solid grasp of identity, networking, compute, and security controls at scale
• Deep expertise in Infrastructure-as-Code (Terraform, Terragrunt) and the ability to design secure, reusable, opinionated module libraries
• Experience building or working with AI agents and agentic workflows — including prompt engineering, tool use, and integrating agents with CI/CD systems and infrastructure APIs
• Strong understanding of cloud security fundamentals: IAM, RBAC, service accounts, Workload Identity Federation, network security, and secrets management
• Experience implementing policy-as-code and automated compliance enforcement in multi-cloud environments
• Proficiency in at least one scripting/programming language (Python, Go, Bash) — you write code, not just YAML
• Experience building developer-facing self-service platforms, including CLI tools, GitHub Actions workflows, and chat-based interfaces.
• Familiarity with request and workflow management practices — and an instinct for treating high request volume as an engineering problem to be automated away
• Understanding of security and compliance requirements in regulated healthcare environments (SOC 2, HIPAA-aligned practices, PIPEDA)

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Python
• Terraform
• Go

Benefits

• Comprehensive total rewards package highlighting competitive salary and bonus structures
• Minimum 3 weeks of vacation
• Flexible benefits plan to meet the needs of you and your family
• Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
• Generous company matched pension and share purchase programs
• Opportunity to give back to communities in which we work, live and serve
• Career growth and learning & development opportunities to develop your skills
• And much more …