Join our Manulife Bank Technology Team! We are reimagining digital banking in Canada through modern cloud technologies, AI-assisted engineering, and customer-focused innovation. Our mission is to deliver secure, reliable, and scalable platforms that support the everyday banking experiences of our customers and advisors.

We work with a cloud-first mindset, Agile delivery practices, and a shared commitment to engineering excellence, continuous improvement, and responsible innovation. Our team develops and supports the foundational platforms and shared services that enable banking capabilities across Manulife Bank. Our work includes reusable APIs, integration services, notification capabilities, event-driven solutions, and operational tools that help technology teams deliver secure and dependable customer experiences more efficiently.

As part of the team, you will contribute to technology that is used across the organization while gaining exposure to modern cloud platforms, enterprise integration patterns, and AI-assisted development practices. We are looking for a Software Engineer to help design, build, and support the APIs, integration services, and cloud-native platforms that power digital banking experiences at Manulife Bank. You will work with technologies such as Java, Spring Boot, Azure, Kubernetes, event-driven architecture, and AI-assisted development tools.

You will collaborate with engineers, architects, product partners, cybersecurity professionals, and operational teams to develop solutions that are secure, resilient, maintainable, and designed around customer needs. This opportunity is well suited to an engineer who enjoys solving technical problems, learning new technologies, contributing to collaborative design discussions, and improving how software is built and operated. Design, develop, test, deploy, and support modern software applications and platform services.

Write clean, secure, maintainable, and well-tested code using modern software engineering practices. Collaborate with product owners, engineers, architects, cybersecurity teams, and business partners to deliver customer-focused solutions. Participate in backlog refinement, sprint planning, estimation, retrospectives, and other Agile delivery activities.





Contribute to technical design discussions and architecture reviews with senior engineers and technical leads. Investigate and resolve application or platform issues while improving system reliability, security, and performance. Participate in peer code reviews and contribute constructive feedback that strengthens software quality and team learning.

Help advance automated testing, CI/CD pipelines, monitoring, observability, and DevSecOps practices. Use AI-assisted development tools responsibly to improve engineering productivity, software quality, and delivery outcomes. Document technical solutions and share knowledge, ideas, and lessons learned with teammates.

At least three years of experience developing software applications or services in an enterprise or similarly complex environment.

Experience developing backend applications using Java and Spring Boot, or experience with comparable enterprise development frameworks and the ability to learn Java and Spring Boot.

Experience working with relational and/or NoSQL databases and data integration solutions. Familiarity with cloud technologies, containerization, or cloud-native application development.

Experience using Git-based source control and CI/CD pipelines. Ability to communicate technical ideas clearly and collaborate effectively with technical and non-technical partners.

Experience contributing within an Agile or iterative software delivery environment. A commitment to continuous learning, knowledge sharing, and high-quality engineering practices. The following qualifications would be valuable, but you do not need to have experience in every area: Experience with Microsoft Azure services.

Experience with API management platforms, Azure Functions, or Azure Service Bus. Familiarity with automated testing, application security, or DevSecOps tools such as Snyk and SonarQube.

Experience with application monitoring, observability, incident troubleshooting, or operational support.



Exposure to AI-assisted development tools such as GitHub Copilot. Familiarity with Model Context Protocol, agentic development workflows, or emerging AI engineering patterns.

Technology Setting: Depending on the project, you may work with: Java and Spring Boot Microsoft Azure Azure Service Bus Oracle, SQL, and NoSQL databases New Relic and other monitoring or observability platforms GitHub Copilot, Model Context Protocol servers, and AI-assisted development tools The technology setting describes the tools used across the team. Candidates are not expected to have experience with every technology listed. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

Le poste annoncé correspond à une vacance existante. 86,100.00 CAD - $136,100.00 CAD Les employés ont également la possibilité de participer à des programmes incitatifs et de recevoir une rémunération liée à la performance de l’entreprise et des individus. Le salaire réel variera selon les conditions du marché local, la région géographique et les facteurs propres au poste, tels que les connaissances, les compétences, les qualifications, l’expérience et la formation. Manuvie offre aux employés admissibles une vaste gamme d’avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d’aide aux employés et leur famille.

Nous proposons également aux employés admissibles différents régimes d’épargne-retraite (y compris des régimes de rente et un programme international d’actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d’éducation et de conseils financiers. Nous utilisons des technologies de données et d’analytique, telles que l’intelligence artificielle (IA), ainsi que des outils de traitement automatisé pour analyser et traiter les renseignements que vous nous fournissez ou que des tiers nous transmettent dans le cadre du processus de demande.

📌 Software engineer, manulife bank technology team (Ontario)
🏢 Société Financière Manuvie
📍 Ontario