As a Senior Platform Engineer, you will build and operate the shared platform that application teams use to deploy and run services on Azure Kubernetes Service. This position provides broad technical ownership across continuous and progressive delivery, multi-region resiliency, disaster recovery, policy and compliance automation, and AI-assisted platform tooling. You will own platform capabilities from design and development through implementation and measurement, while establishing standards and reusable solutions that support engineering teams across the organization.

This includes GitHub Actions pipelines, Terraform modules, GitOps reconciliation, and canary and blue/green deployments through a service mesh, supported by versioning, phased rollouts, and tested rollback procedures. Transform recurring platform requests into self-service capabilities and automated guardrails, while creating reference implementations, standards, and documentation for other engineers. Design and test highly available, resilient solutions across multiple Azure regions.

Establish secure and compliant delivery paths by default through Azure Policy, in-cluster admission controls, and workload identity. Design and deliver AI-assisted platform tooling using agent-based solutions and the Model Context Protocol for onboarding, configuration validation, access auditing, drift detection, and incident triage. Incorporate appropriate approval gates, checkpointing, and auditability into AI-assisted platform solutions. 8+ years of experience in software, platform, or infrastructure engineering, including ownership of at least one end-to-end platform capability used by other teams. ~8+ years of experience working with Azure in an enterprise workplace, including Entra ID,



workload identity, networking, governance, Azure Policy, Key Vault, and managed data and messaging services. ~5+ years of experience supporting progressive delivery through canary or blue/green deployment approaches. ~Production experience working with Python, Bash, YAML, and containers. ~2+ years of hands-on experience with observability and policy as code, including an application performance monitoring platform such as New Relic or Datadog, SLI and SLO development, and admission-control policies enforced within Kubernetes clusters. ~ Current, hands-on experience building solutions using large language models, including agent frameworks, tool calling, or the Model Context Protocol, and applying these technologies to infrastructure or operational challenges. ~ Experience delivering technology solutions in a regulated enterprise environment with formal change-management, control, and audit requirements.

Experience with chaos engineering and formal disaster-recovery testing using Chaos Mesh, Azure Chaos Studio, or an equivalent technology.

Experience building Model Context Protocol servers or agentic workflows that incorporate state management, checkpointing, and human approval gates using Azure OpenAI or Azure AI Foundry.





Experience with API management platforms and the automated promotion of API configurations between environments. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

Le poste annoncé correspond à une vacance existante. 113,000.00 CAD - $163,000.00 CAD Les employés ont également la possibilité de participer à des programmes incitatifs et de recevoir une rémunération liée à la performance de l’entreprise et des individus. Le salaire réel variera selon les conditions du marché local, la région géographique et les facteurs propres au poste, tels que les connaissances, les compétences, les qualifications, l’expérience et la formation. Manuvie offre aux employés admissibles une vaste gamme d’avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d’aide aux employés et leur famille.

Nous proposons également aux employés admissibles différents régimes d’épargne-retraite (y compris des régimes de rente et un programme international d’actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d’éducation et de conseils financiers. Nous utilisons des technologies de données et d’analytique, telles que l’intelligence artificielle (IA), ainsi que des outils de traitement automatisé pour analyser et traiter les renseignements que vous nous fournissez ou que des tiers nous transmettent dans le cadre du processus de demande.

📌 Senior Platform Implementation Engineer (Toronto)
🏢 Société Financière Manuvie
📍 Toronto