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Manulife

Associate Full-Stack Software Engineer

Reposted 3 Days Ago
In-Office
2 Locations
Entry level
In-Office
2 Locations
Entry level
Seeking an Associate Full-Stack Software Engineer to build and maintain applications, work with automation tools, and support projects using various technologies.
The summary above was generated by AI

Join our Digitization and Automation team!

Our business is focused on creating an experience that is effortless, easy and meaningful to our clients. With attention to detail and strong product and customer service skills, our business area is driven to provide business solution to our partners.

Our Team is looking for a dynamic, enthusiastic, team-oriented Associate Full Stack Engineer who enjoys working alongside business analysts and developers in the enhancement and creation of various technical tools to bring increased efficiency to our business partners.  

Position Responsibilities:

  •  Build, code, test and maintain applications using C#.NET, SQL, Azure.

  •  Create solutions using OpenAI, LLM, Doc Intelligence.

  • Work with various data sources like SQL, Mongo, EDL.

  • Work with Solution Analysts and business partners in configuring and supporting various automation tools.

  • Participate in Agile ceremonies; supporting rapid iteration and development.

  •  Contribute to the success of the team through active participation with different projects and initiatives.

  • Participate in functional demos.

  • Experiment with emerging technologies.

  • Integrate other automation activities through other methodologies of low code products.

  • Identify risks and mitigation strategies.

Required Qualifications:

  • Excellent development skills using C# .NET, SQL, Azure, Windows Server.

  • Familiar with scripting languages

  • Understanding of software development lifecycle.

  • Exceptional customer service focus and problem-solving skills.

  • Collaborative approach to work with team members; participate in code reviews, share skills and methods.

  • Flexible & adaptable to change.

  • Resiliency with ambiguity.

  • Leadership & influencing skills.

  •  Hard-working & collaborative team mate with a Can-Do approach.

Preferred Qualifications:

  • University/College degree or equivalent experience in computer science/engineering

  • Experience working with Azure AI services to create apps, agents and automations.

  • Experience with AI frameworks like RAG and LangChain.

  • Familiarity with Agile and DevOps principles, continuous integration and other approaches to accelerate the delivery of new features.

  • Familiar with modern software architectures and development dedicated to interfaces.

  • Knowledge and experience in the financial industry and specifically Retirement Operations

  • Agile / DevOps certifications.

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.

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, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$60,900.00 CAD - $113,100.00 CAD

If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location. 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. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

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.

Top Skills

Azure
C#.Net
Doc Intelligence
Llm
Mongodb
Openai
SQL
Windows Server

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