Job Information
Manulife Lead Full Stack Software Engineer in Toronto, Ontario
The Lead Full Stack Software Engineer brings deep expertise across both front-end and back-end development, playing a key role in building next-generation products and services. This individual will lead the design, development, testing, and implementation of new features that enable scalable, high-quality software solutions while setting technical direction and best practices.
Position Responsibilities:
Designs, builds, and maintains the technology platform's features and infrastructure, including hardware, software, and network components.
Implement and integrate technology solution supporting AI governance (model governance) for orchestration, feature engineering, model deployment controls, approval workflows, and audit-ready evidence capture.
Design and implement policy-as-code guardrails (access, usage, data handling, deployment standards) and enforcement points across the AI lifecycle.
Build capabilities for model lineage, traceability, and monitoring (metadata, evaluations, drift/quality signals) to support risk management and regulatory needs.
Build scalable microservices and event-driven pipelines for model training/inference using Akka Streams and Cluster Sharding.
Integrate AdaptiveML workflows for continuous/online learning, feature stores, model registries, and A/B experimentation.
Develop reusable reference patterns, inner-source components that meet reliability, security, and compliance standards.
Implement shared runtimes for multi agent coordination, state management, memory persistence, and messaging.
Design interoperable APIs/SDKs used by data scientists and developers to build agent powered applications.
Maintain and improve CI/CD pipelines and developer toolchains for AI services to enable rapid, compliant delivery.
Evaluate emerging AI/ML infrastructure capabilities; prototype and introduce tools that improve developer productivity and reliability.
Develop and operate scalable backend services supporting high traffic agent interactions, retrieval operations, and real time execution flows.
Use cloud native technologies (containers, orchestration, IaC, CI/CD) to deliver reliable, cost-efficient services.
Optimize runtime performance across CPU/GPU/accelerator workloads.
Monitors and resolves persistent platform issues when surfaced by technical support teams such as bottlenecks, connectivity problems, and system failures.
Considers compliance and regulatory requirements throughout the platform lifecycle. Implements security measures, such as access controls, encryptions, and vulnerability assessments when applicable.
Partners with architects and business leaders to design and build robust platforms across all Global AI Platform capability layers.
Required Qualifications:
7–10+ years in software engineering; 3+ years leading teams/projects in AI/ML or distributed systems.
Hands-on experience building or integrating technology supporting AI governance (model governance) and MLOps capabilities for model lifecycle management (registry, approvals, monitoring), orchestration, and continuous learning (e.g., AI Foundry, AdaptiveML, or equivalent).
Proficiency in Scala or Java (Akka ecosystem), plus Python for ML tooling.
Experience with stream processing and data pipelines.
Solid MLOps background: model registries, feature stores, CI/CD for ML, containerization (Docker), orchestration (Kubernetes).
Cloud proficiency (AWS/Azure), Terraform or IaC, and secrets/IAM.
Deep understanding of distributed systems, observability stack and resilience patterns.
Strong communication, documentation, and stakeholder management skills.
Preferred Qualifications
Experience with online learning, reinforcement learning, or active learning in production.
Knowledge of responsible AI frameworks, model risk management, and fairness/bias assessment.
Performance optimization for low-latency inference; GPU/accelerator utilization.
Experience in regulated industries (e.g., financial services/insurance) with audit and governance requirements.
ModelOp (ModelOps) and Dynamo implementation experience supporting AI governance / model governance and model lifecycle management.
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.
#LI-Hybrid
The role being advertised is an existing vacancy.
Giới thiệu về Manulife và John Hancock
Tập đoàn Manulife Financial là nhà cung cấp dịch vụ tài chính quốc tế hàng đầu giúp mọi người quyết định dễ dàng hơn và có cuộc sống vẹn toàn hơn. Để tìm hiểu thêm về chúng tôi, hãy truy cập https://www.manulife.com.vn/ .
Manulife là Nhà sử dụng lao động không phân biệt đối xử
Tại Manulife/John Hancock, chúng tôi luôn đón nhận sự đa dạng. Chúng ta cố gắng thu hút, phát triển và duy trì lực lượng lao động đa dạng tương tự như những khách hàng mà chúng ta phục vụ, đồng thời thúc đẩy một môi trường làm việc hòa nhập, đề cao thế mạnh của từng nền văn hóa và cá nhân. Chúng ta cam kết tuyển dụng, duy trì, thăng tiến và trả lương một cách công bằng. Đồng thời, chúng ta quản lý tất cả các hoạt động và chương trình của mình mà không phân biệt đối xử dựa trên chủng tộc, dòng họ, xuất thân, màu da, nguồn gốc dân tộc, quyền công dân, tôn giáo hoặc tín ngưỡng tôn giáo, đức tin, giới tính (bao gồm phụ nữ mang thai và các tình trạng liên quan đến mang thai), xu hướng tính dục, đặc điểm di truyền, tình trạng cựu chiến binh, bản dạng giới, biểu hiện giới, tuổi tác, tình trạng hôn nhân, tình trạng gia đình, khuyết tật hoặc bất kỳ căn cứ nào khác được pháp luật hiện hành bảo vệ.
Ưu tiên của chúng ta là loại bỏ các rào cản để đem lại cơ hội tiếp cận việc làm bình đẳng. Đại diện Bộ phận Nhân sự sẽ làm việc với những ứng viên có yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển. Tất cả thông tin được chia sẻ trong quá trình yêu cầu điều chỉnh sẽ được lưu trữ và sử dụng tuân theo pháp luật hiện hành và chính sách của Manulife/John Hancock. Để yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển, hãy liên hệ với hr@manulife.com .
Referenced Salary Location
Toronto, Ontario
Working Arrangement
Kết hợp
Salary range is expected to be between
$113,260.00 CAD - $210,340.00 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 hr@manulife.com 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 hr@manulife.com 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 (https://careers.manulife.com/global/en/talentacquisitionprivacystatement) .