Machine learning engineer Jobs in Kitchener, ON

Join our Canadian Segment Technology team!

Our team is responsible for developing, building, and operating the shared AKS (Azure Kubernetes Service) deployment framework. This role requires strong cloud engineering expertise, deep familiarity with platform‑level services, and an ability to harness AI-assisted tooling to reduce toil and accelerate delivery. You will collaborate closely with partner teams to deliver an integrated, secure, and scalable developer experience.

Position Responsibilities:

Cluster & Platform Design

• Design the AKS cluster model for the Canadian segment.

• Implement improvements to existing infrastructure with zero disruption to business operations.

• Build an integrated end‑to‑end experience for application development teams by combining the AKS clusters owned by our team with capabilities delivered by partner teams—including CI/CD pipelines, monitoring, logging, risk controls, and security services.

Automation, AI, & Operational Excellence

• Automate cluster maintenance tasks, operational workflows, and routine processes using Infrastructure‑as‑Code and AI‑assisted tooling.

• Continuously find opportunities to reduce manual effort, improve reliability, and enhance deployment efficiency.

• Ensure compliance with enterprise risk and security standards across cluster design, operations, and governance.

• Monitor and maintain the health, performance, scalability, and security of AKS clusters.

Collaboration & Partner Engagement

• Partner with application development teams to ensure the shared cluster model meets both business and technical needs.

• Work closely with capability‑owner teams (pipelines, observability, risk, security, etc.) to align standards, integrate services, and deliver a cohesive platform experience.

• Maintain positive relationships with business partners and shared technology teams, ensuring alignment on governance, roadmaps, and service delivery.

Required Qualifications:

• 6–10 years of experience in cloud computing (Azure strongly preferred).

• Expertise in automation and Infrastructure‑as‑Code (Terraform, Bicep, ARM, etc.).

• Experience using AI‑assisted engineering tools (e.g., GitHub Copilot, Azure OpenAI, or similar) to improve automation, troubleshooting, and enhance engineering workflows.

• Experience operating or supporting shared platform services—such as shared Kubernetes clusters, CI/CD systems, observability platforms, or security/risk tooling.

• Strong understanding of networking and security concepts.

• Experience with Identity and Access Management (Azure AD, RBAC, workload identity).

• Proficiency with cloud networking infrastructure and distributed system patterns.

• Hands‑on experience with API gateways and cloud‑based architectures.

• Strong system administration background.

• Scripting/programming proficiency (PowerShell, Bash, Python, etc.).

• Experience with containers and Kubernetes (AKS experience is an asset).

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

Waterloo, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 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 .