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DevOps Specialist at Manulife in Toronto responsible for designing CI/CD pipelines, managing containerized infrastructure (Docker, Kubernetes/AKS), and automating cloud deployments on Azure using tools like TeamCity, Jenkins, and IaC practices.
The Full-stack Software Engineer will design, develop, and maintain business applications for the insurance sector using a stack including Java, Node.js, Angular, and Azure cloud services. The role involves managing the full software delivery lifecycle, participating in DevOps practices, and providing production support.
We are looking for a driven and innovative AI Developer to join our Health AI Squad at Manulife Asia based in Singapore/Hong Kong. As part of our AI and Generative AI initiatives, you will play a pivotal role in…
Builds and deploys AI/ML and GenAI systems for healthcare, focusing on scalable data pipelines, model serving, and advanced GenAI patterns to solve health-related problems across Asia.
Build and deploy machine learning and GenAI solutions for health insurance, transforming data into measurable business outcomes across the health value chain.
The Assistant Manager, Business Analysis will lead initiatives to improve agency customer servicing processes and technology. The role involves analyzing data, documenting business requirements, and collaborating with stakeholders to implement solutions within the life insurance sector.
Senior Data Engineer leading data engineering delivery for data lakes, platform modernization, and reporting solutions at Manulife in Hong Kong, using Azure Cloud, Databricks/Spark, and AliCloud big data tools.
Senior Cloud Engineer designing, building, and automating cloud platforms on Microsoft Azure using Kubernetes (AKS) and Terraform within an Agile, hybrid environment at a large financial services firm.
As a Manager Engineering, you will lead technology teams in delivering secure, reliable, and user-centric solutions that support business objectives. You will translate technical and business requirements into product…
AI Engineer Job Posting Description The AI Engineer will join the AI team supporting the Long-Term Care program in Manulife/John Hancock . This role will help design, build, deploy, and scale production-grade AI…
Join our Enterprise Technology Services team! The Lead Solutions Architect is a senior technical leader who partners with Manulife business, product, operations, and external partners to design and deliver secure,…
Join our Canadian AI team as a Data Scientist, where you’ll apply advanced analytics, machine learning, generative AI, and emerging agentic AI techniques to solve complex business challenges and deliver actionable…
Lead BI delivery for Manulife’s Asia Data Office, translating business needs into cloud-based ETL pipelines, dashboards, and reports using Power BI, SQL, Python, and Spark.
Build and maintain scalable data pipelines using Spark, Azure Synapse, and Databricks to feed Manulife’s Enterprise Data Lake, ensuring reliable analytics for insurance and financial operations.
We’re looking for a Manager of Information Risk Metrics, Reporting, & Analytics to join our Governance, Risk and Compliance team at MBPS. This role sits within the Global Information Risk Management function. The…
Lead a team building cloud-native retirement systems using Java/Spring Boot and React on Microsoft Azure, mentoring engineers and shaping scalable, secure financial applications.
Build and maintain cloud-based data pipelines, ETL/ELT workflows, and dashboards to power analytics and ML models for a large financial services provider.
Job Profile Description The Head of Japan Data Office is responsible for leading the organization’s data strategy, governance, and data management capabilities to enable trusted, high-quality, and business-driven use…
Build and maintain secure, high-performance back-end systems for a global financial services provider using Azure, Databricks, PySpark, and SQL Server.
Senior Data Analyst builds and maintains core data repositories for investment systems, ensuring data quality and alignment with business needs using SQL, data warehousing, and big data tools.
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