Top AWS Jobs in Toronto

The Principal Solutions Architect engages with research labs, leads Proof of Concepts, conducts demos, addresses technical challenges, and drives customer success.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Design and develop Waabi's observability stack, optimize performance, build automation tooling, and support application requirements while leading projects and mentoring teams.

Manage large-scale data analytics engagements, collaborate with technology teams, and present solutions to stakeholders to drive business value.

The Manager, BI Consulting will lead BI initiatives, engage stakeholders, analyze requirements, design data solutions, and manage client relationships.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

The role involves designing and implementing AI features, building APIs, participating in code reviews, and ensuring software scalability and reliability.

As a Senior Java Developer, you will develop web applications using Java and Spring Boot, participate in code reviews, testing, and research new technologies.

As a Full Stack Java Developer, you will work on web application development using Java and Spring Boot, contributing to high-quality software projects.

As a Senior Software Developer, you'll design and expand Kubernetes-powered platforms, enhancing infrastructure reliability and facilitating migrations to Amazon EKS while collaborating with engineering teams.

The role involves building scalable AI solutions, enhancing productivity through agentic automations, and integrating LLMs and other advanced AI frameworks.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

Own Faire's ML platform architecture and standards across training, inference, feature management, governance, and MLOps. Architect scalable Databricks/Spark/Delta Lake/MLflow workflows, optimize cost and reliability, integrate LLM workflows, mentor engineers, and lead cross-functional initiatives to increase data science velocity.

Design and operate a scalable ML platform for model training, deployment, and governance while optimizing performance and supporting data scientists in productionizing workflows.

Develop and optimize software components and pipelines for Roche's SBX sequencing platform. Implement and maintain production-ready code (Python, C/C++), CI/CD, containerized ML deployments, and efficient genomic data processing using HPC or cloud resources (SLURM, AWS/GCP). Collaborate on algorithm implementation, performance profiling, and workflow engineering (Nextflow/Airflow).

Lead end-to-end analytics and AI/ML initiatives: diagnose performance across customer/product/advisor dimensions, build scalable datasets, dashboards, segmentation, and predictive models, implement cloud-based ML solutions, produce executive-ready visualizations and stories, mentor teams, and drive adoption of advanced analytics across business stakeholders.

Design and own finance solution and data architecture for a multi-year finance transformation. Define integrations across sub-ledgers, GL, IFRS17 and actuarial systems, data flows, governance, controls, reconciliations, Snowflake/AWS data platform patterns, and reusable finance data products. Lead architecture governance, vendor assessments, and measurable outcomes while partnering with finance, actuarial, IT, and group architecture teams.

Own and triage the support queue for Limina customers: reproduce and resolve API, file processing, redaction, and container deployment issues; distinguish product vs. customer environment issues; escalate defects with reproduction steps; maintain runbooks and improve support processes; communicate status to technical and commercial stakeholders.

Lead delivery and operations for Wealth data and analytics platforms, ensuring governance, data quality, security, modernization (cloud and legacy), vendor coordination, financial oversight, and production readiness to support reporting, regulatory, and business insights.

As a Full-Stack Software Engineer, you will build end-to-end features, develop backend services, and create frontend applications while using AI-assisted tools and collaborating with teams.

Build and own adaptive phishing simulations and real-time behavioral ingestion systems using LLMs. Design interfaces for security teams, ship full‑stack, scalable code, work with early customers, and make foundational architectural decisions.

Design, build, test, and maintain Magnet One cloud platform features across front-end and back-end. Collaborate on architecture, perform code reviews, troubleshoot defects, and drive best practices for secure, performant, and maintainable software.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Architect, build, and deploy agentic and multi-modal AI systems for biopharma and healthcare. Lead end-to-end development, cloud deployments (AWS), Kubernetes-based backend services, model serving, data pipelines, CI/CD/DevOps, and mentor junior engineers while collaborating with researchers and product teams.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.