Full-Stack Software Engineer

The Virtual Assistant team within John Hancock US Technology is transforming how customers, advisors, and operations teams interact across digital channels. As a Full-Stack Software Engineer, you will build and enhance intelligent customer experiences powered by conversational AI, cloud technologies, and modern software engineering practices. This role offers an opportunity to work on highly visible digital products, collaborate with cross-functional teams, and help shape the future of AI-driven customer engagement. You'll contribute to scalable, secure, and customer-focused solutions that support the next generation of omni-channel experiences.
Position Responsibilities

• Design, develop, and enhance Virtual Assistant and conversational AI solutions supporting customer servicing experiences.
  
• Develop scalable applications and APIs using C#, .NET Core, ASP.NET, REST services, and microservices architecture.
  
• Build and maintain responsive user interfaces using modern front-end technologies such as React.
  
• Design and deploy cloud-native solutions leveraging Microsoft Azure services.
  
• Collaborate with product owners, architects, UX designers, and engineering teams to deliver innovative digital solutions.
  
• Implement CI/CD pipelines, automated testing, DevSecOps practices, and application monitoring.
  
• Produce technical documentation, integration specifications, and solution designs while contributing to engineering best practices.
  

Required Qualifications

• 2+ years of software engineering experience.
  
• 2+ years of hands-on experience developing applications using C# and .NET technologies.
  
• Experience developing and consuming REST APIs and microservices.
  
• Experience designing and implementing applications on Microsoft Azure.
  
• Experience with modern front-end technologies such as JavaScript, React, or similar frameworks.
  
• Experience working with SQL Server, Azure SQL, or related database technologies.
  
• Experience with CI/CD pipelines using Azure DevOps, GitHub, or similar tools.
  
• Strong communication, collaboration, and problem-solving skills.
  

Preferred Qualifications

• Experience building or supporting Virtual Assistants, Conversational AI, Chatbots, or Digital Assistant platforms.
  
• Experience with Microsoft Copilot Studio, Azure AI Services, Azure OpenAI, Dialogflow, Amazon Lex, or similar technologies.
  
• Knowledge of Generative AI, Natural Language Processing (NLP), and Large Language Models (LLMs).
  
• Experience with event-driven architectures and enterprise integrations.
  
• Experience within financial services, insurance, healthcare, banking, or other regulated industries.
  
• Microsoft Azure certifications or other cloud certifications.
  
• AWS skills are nice to have
  

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 View email address on click.appcast.io.

Referenced Salary Location
Toronto, Ontario

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 View email address on click.appcast.io 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 View email address on click.appcast.io 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.