Full-Stack Software Engineer
Manulife Financial · On-site · Full-time · 2 Locations
Posted (16h ago)
Apply on Manulife Financial’s site
- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Oct 16, 2026. If Manulife Financial reposts it, we keep the original posting date.
- Pay
- CA$86k–CA$136k a year (from the description)
- Level
- Mid-level
- Work setup
- On-site
- Tech mentioned
- Azure, React, Python, Java, LLMs, Kubernetes
- Manulife Financial hiring
- 32 roles posted in the last 30 days
Job description
Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help craft the future you want to see — and discover that better can take you anywhere you want to go.
Full Stack Engineer
The Opportunity
We’re looking for a
Full Stack Engineer
who is excited about building the next generation of intelligent, cloud-native applications.
In this role, you’ll work across the full technology stack, from intuitive React experiences and scalable backend services to data engineering and
Generative AI, RAG, and agentic AI solutions
. You’ll help turn ideas and product requirements into secure, reliable applications that solve real business problems.
This is an excellent opportunity for an engineer who enjoys hands-on development, modern AI technologies, and owning solutions from concept through production.
What You’ll Do
Design, develop, and maintain
end-to-end applications
across front-end, backend, API, AI, and data layers.
Build responsive and accessible user experiences using
React
and modern web development practices.
Develop scalable backend services and APIs using
Python, FastAPI/async frameworks, and Java
.
Build and integrate
LLM-powered and agentic AI applications
using frameworks such as
LangGraph, LangChain, AutoGen
, or similar technologies.
Design
Retrieval-Augmented Generation (RAG)
solutions using embeddings, vector/hybrid search, and enterprise knowledge sources.
Build and maintain data ingestion pipelines and work with large datasets using
Azure Databricks and Delta Tables
.
Develop cloud-native applications leveraging
AKS/Kubernetes, Azure API Management, Azure Service Bus, MongoDB/Cosmos DB, and vector databases
.
Establish and maintain automated build, integration, and deployment pipelines using
GitHub Actions
.
Implement strong engineering practices across testing, code reviews, observability, security, performance, and reliability.
Troubleshoot complex production issues, conduct root-cause analysis, and drive issues through resolution.
Partner with product, design, QA, engineering, and business stakeholders to translate requirements into effective technical solutions.
Contribute to architectural decisions and advocate for scalable, consistent engineering standards across the stack.
Take ownership of individual deliverables and drive work forward with minimal supervision.
What You Bring
3+ years of professional software engineering experience
, with strong backend and full-stack development expertise.
Hands-on development experience with
Python, Java, and React
.
Experience developing backend services and APIs using
FastAPI, asynchronous Python frameworks, or similar technologies
.
Practical experience building
LLM-based or agentic AI solutions
using
LangGraph, LangChain, AutoGen
, or comparable frameworks.
Hands-on experience developing
RAG solutions
, including embeddings, vector or hybrid search, and enterprise data sources.
Data engineering experience with
Azure Databricks, data ingestion pipelines, Delta Tables, and large datasets
.
Experience with cloud-native technologies such as
AKS/Kubernetes, GitHub Actions, Azure API Management, Azure Service Bus, MongoDB/Cosmos DB, and vector databases
.
Strong understanding of application security, including authentication, authorization, input validation, and data protection.
Strong verbal and written communication skills, with the ability to clearly explain technical approaches and trade-offs to both technical and business audiences.
A collaborative mindset combined with the ability to independently own and deliver work.
Nice to Have
Bachelor’s or Master’s degree in
Computer Science, Computer Engineering, Software Engineering, Information Technology
, or a related discipline.
Experience with
Azure AI Search, Azure OpenAI, Azure AI Foundry
, or comparable AI platforms.
Experience with
intelligent document processing
, including OCR, document extraction, classification, and data validation.
Working knowledge of
Model Context Protocol (MCP)
, tool calling, and AI integration patterns.
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
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
[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
.
Apply on Manulife Financial’s site
Manulife Financial job ID: Full-Stack-Software-Engineer_JR26091896
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