Cloud & Platform Engineer

Manulife Investment Management’s Quantitative Development team is a small group with a broad mandate to design and implement investment analysis at scale—from the firm-wide to the security-level—for $500B+ in investments across the Global Wealth and Asset Management segment.

The team’s goal is to help the firm deliver more alpha, more efficiently.

We are hiring a Cloud & Platform Engineer to help build and operate our Azure-based cloud ecosystem and platforms. This role is suited to an engineer with 3 to 5 years of experience who is comfortable working across cloud native development, platform services, DevOps practices, and day-to-day engineering support.

You will work on a modern ecosystem and platform landscape that includes Azure cloud services, Kubernetes and container platforms, event-driven integration, CI/CD automation, secrets and access management, and production operations. The role is hands-on and practical: you will help improve developer experience, platform reliability, automation, and delivery speed for data, application, and analytics workloads.

Position Responsibilities:

• Develop, build, operate, and improve Azure-based platform, services and cloud environments.

• Support containerized workloads running on Azure Kubernetes platforms (AKS), Azure VM and related runtime patterns.

• Help engineer and maintain platform components such as Azure Blob Storage, Azure File Share, Event Grid, Event Hubs, Key Vault, API Management and other Azure Cloud services.

• Contribute to DevOps and platform engineering practices including CI/CD pipelines, deployment automation, environment management, monitoring and operational mandate.

• Support event-driven and scheduled workload patterns across platform services and compute environments.

• Partner with application, data and analytics teams to onboard workloads onto shared platform capabilities.

• Troubleshoot incidents, deployment issues, scaling problems, and integration failures in lower and production environments.

• Improve observability, reliability, security, and cost discipline across the platform.

• Support Kubernetes-based application development, deployment, configuration, scaling, and troubleshooting.

• Assist with platform automation for build, release, configuration, and environment setup.

• Help maintain secure secrets, identity, and access patterns using services such as Azure Key Vault and managed identity.

• Contribute to monitoring and operational tooling using Azure-native observability and logging solutions.

• Work with senior engineers to improve platform standards, reusable patterns, and self-service capabilities.

• Handle provision and Azure resources request process.

• Participate in production support, root cause analysis, and follow-up remediation work.

• Document technical designs, runbooks, and platform operating procedures clearly.

Required Qualifications:

• 3 to 5 years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering.

• Hands-on experience with a major cloud platform (Microsoft Azure preferred; AWS or Google Cloud experience is also acceptable).

• Practical experience with containers and Kubernetes (AKS, EKS, or GKE).

• Experience with CI/CD pipelines and deployment automation.

• Experience with scripting or automation using at least one language such as Python and Bash.

• Familiarity with infrastructure, networking, identity, and security fundamentals in cloud environments.

• Experience troubleshooting application, API, platform or infrastructure issues in cloud environments.

• Strong communication skills and the ability to work across partner teams.

Preferred Qualifications:

• 3 years of proven experience working in a managed Kubernetes environment (AKS preferred; EKS or GKE also considered).

• 3 years of experience with CI/CD pipelines and deployment automation.

• Experience with Azure services such as Event Hubs, Event Grid, Azure Cloud Storage, API Management and Key Vault, or equivalent services on AWS or Google Cloud.

• Knowledge of API development and complementary tools such as FastAPI and Swagger.

• Experience with Docker, Helm, GitHub Actions, or GitOps-style deployment workflows.

• Experience supporting Azure Ubuntu virtual machines, including Linux-based VM administration, troubleshooting, and operational support.

• Familiarity with event-driven architecture and platform integration patterns.

• Exposure to workflow or data platform tooling such as Airflow, Databricks, or similar analytics platforms.

• Understanding of platform reliability, operational readiness, and production support practices.

When you join our team:

• We’ll empower you to learn and grow the career you want.

• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team, we’ll support you in shaping the future you want to see

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact <.

Referenced Salary Location

Montreal, Quebec

Working Arrangement

Hybrid

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact < for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact < for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.