As a Senior Platform Reliability Engineer, you will be responsible for monitoring, analyzing and optimizing software architecture and maintaining software environment to best support testing and deployment in continuous integration/continuous delivery environment.
Position Responsibilities
Provides reliable and scalable platform experience to the Global AI Platform Users
Responsible for monitoring, analyzing, optimizing and maintaining software environment to best support testing and deployment in continuous integration/continuous delivery workplace.
Develop self-service capabilities, AIOps/MLOps/GitOps/CI/CD pipelines, and operational automations (provisioning, upgrades, backups).
Manage clusters, networks, storage, and policies via Terraform/Ansible;

prevent configuration drift.
Enforce identity/RBAC, secrets management, supply chain security, and regulatory controls;

collaborate with risk and audit.
Optimize resource usage, plan capacity, control spending (rightsizing, autoscaling, reservations/spot).
Safe rollouts, progressive delivery, and policy-as-code guardrails.
Resolves persistent platform issues when surfaced by technical support teams
Provides performance enhancements through automation and pushes for enhanced reliability of platform to support product development
Delivers resilient and scalable applications, with a focus on continuous delivery and operational insight
Collaborates with platform and software engineers, platform reliability engineers, Product Owners, and engineering leadership to uncover pain points and opportunities to accelerate the delivery of new value through software




Investigates new platform solutions to enhance service delivery experience
Resolves persistent platform issues when surfaced by technical support teams
Delivers good user experience to other engineers, with a focus on self-service and continuous delivery
Addresses incidents and problems, with rotational accountability for on-call support
Required Qualifications
Familiarity with agile and DevOps principles, test-driven development, continuous integration, and other approaches to accelerate the delivery of new features
Understanding of software development lifecycle
Understanding of how technology supports Manulife business strategy
Deep understanding of DevOps principles, prioritizes platform over products
Attends advanced training sessions and is certified on multiple domains of expertise
Demonstrates all core skills, and good interpersonal skills for the role
Good working and background knowledge of area of practice
Use and combine knowledge of the discipline and the market to formulate the right approach
Participates in functional demos utilizing new tech;

designs own control structures
Sees actions partly in terms of longer-term goals
Understands the corporate climate & culture
Strong knowledge of the business




Experience with virtual infrastructure, CICD tools such as Jenkins, Github, TeamCity etc.
Experience in languages such as Python, Java, JavaScript, .NET, HTML5, CSS3, Swift and/or similar technologies
Understanding of systems monitoring tools and analytics (New Relic, MoogSoft, xMatter, etc.)
Experience with Cloud Foundry and other components supporting a highly-automated global engineering platform
Collaborative attitude, willingness to work with team members;

able to coach, participate in code reviews, share skills and methods
Constantly learns from both success and failure
Experience with open-source technologies preferable
Good organizational and problem-solving abilities that enable you to manage through creative abrasion
Good verbal and written communication;

able to effectively articulate technical vision, possibilities, and outcomes
Experiments with emerging technologies and understanding how they will impact what comes next.
Required Qualifications
Bachelor’s in Computer Science/Engineering or equivalent experience (not strictly required if skills demonstrated).
5–8+ years in DevOps/Platform Engineering or Production Operations (8+ preferred for senior level).
Proficiency in Python and/or Java/Scala/TypeScript for backend services and automation.
Hands on experience with Azure, Kubernetes, containers, CI/CD, and observability stacks.
Strong understanding of LLM systems, retrieval architectures, embeddings, vector stores, prompt/tool orchestration, and agent workflow fundament

📌 Senior Platform Reliability Engineer (Toronto)
🏢 Manulife
📍 Toronto