Join Manulife's Group Functions Data Office and help build the next generation of cloud-native and AI-enabled solutions. This role provides an opportunity to work on innovative Azure-based applications that support enterprise data, automation, and AI initiatives across the organization. Working closely with the Data Office, AI teams, and engineering partners, you will develop scalable, secure, and intelligent solutions that drive business value and advance our technology strategy. Unlike traditional Java-focused Full Stack roles, this position focuses on Python, Azure platform services, APIs, and AI-driven application development.
Position Responsibilities:
Design, develop, and maintain scalable backend services using Python and FastAPI.
Build and integrate RESTful APIs with Azure services and third-party platforms.
Develop and deploy applications using Azure Web Apps, Azure Functions, and Azure Platform-as-a-Service (PaaS) technologies.
Implement and maintain CI/CD pipelines using Jenkins, Git, and Azure DevOps tools.
Secure applications and APIs using Azure Active Directory, Microsoft Graph APIs, and Azure Key Vault.
Work with Cosmos DB, Azure OpenAI, and Azure AI Search to build intelligent, data-driven applications.
Collaborate with front-end developers to integrate services with ReactJS applications.
Partner with AI teams to support AI-focused application development and enterprise AI initiatives.
Participate in architecture reviews, code reviews, Agile ceremonies, and continuous improvement activities.
Required Qualifications:
4 or more years of relevant industry experience in Full Stack, Software, Backend, or Application Development.
Strong hands-on experience developing applications using Python and FastAPI.
Experience designing, developing, and integrating REST APIs and microservices.
Strong experience with Azure PaaS services, including Azure Web Apps, Azure Functions, Cosmos DB, Key Vault, and related Azure services.
Experience working with Azure Active Directory (Azure AD) and Microsoft Graph APIs.
Experience implementing CI/CD pipelines using Jenkins, Git, Azure DevOps, or similar tools.
Experience deploying and supporting cloud-native applications in Azure environments.
Working knowledge of ReactJS and modern front-end development practices.
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).
Preferred Qualifications:
Experience with Azure OpenAI and Azure AI Search.
Experience building AI-enabled applications or intelligent automation solutions.
Exposure to AI-focused development, AI modeling concepts, or collaboration with AI teams.
Experience with containerization technologies such as Docker and Kubernetes.
Familiarity with Azure monitoring, observability, and logging tools.
Strong communication, problem-solving, and collaboration skills.
Experience working within Agile development environments.
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 https://www.manulife.com/en/about/our-story.html.
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 [email protected].
Referenced Salary Location
Waterloo, OntarioWorking Arrangement
Salary range is expected to be between
$86,100.00 CAD - $136,100.00 CADEmployees 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 [email protected] 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 [email protected] 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.
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