Top AWS Jobs in Toronto

The Cloud Engineer will design and deploy cloud-based media workflows, optimize rendering environments, and integrate customer production pipelines, requiring strong technical and customer-facing skills.

Develop and enhance IAM features, optimize IAM systems, collaborate with teams, deliver maintainable code, and support ongoing improvements.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The Tech Lead/Solution Architect will design and deliver cloud solutions, lead architecture reviews, coordinate teams, and engage with clients to execute data and application projects.

Lead and code a multi-tenant agentic AI platform: build full-stack components with Python/Angular, implement agent frameworks and MCP servers, develop advanced RAG and vector/graph integrations, design prompts and intents, and work as a forward-deployed engineer with SMEs to deliver production AI solutions.

The DevOps Engineer will optimize cloud computing solutions, enhance infrastructure performance, ensure high availability, and manage CI/CD tools while collaborating with development teams.

Lead application systems analysis and programming, integrating multiple functions, resolving complex problems, and advising mid-level developers while ensuring compliance with regulations.

The role involves developing NLP pipelines, managing data processing jobs, building APIs, and supporting CI/CD deployments with a focus on Python and data engineering tools.

Lead a Services AI Platform engineering team as a hands-on technical lead, building and scaling multi-tenant agentic ecosystems, custom fine-tuning pipelines, and advanced RAG architectures. Implement strict MCP-based architecture, integrate graph and vector databases (e.g., Neo4j, pgvector), develop prompt/intent engineering, and partner with SMEs and frontend teams to deploy production-grade AI solutions.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.

Lead design and implementation of features for the Business Acquisition domain, ensure security and scalability, mentor junior engineers, collaborate with product and engineering managers, write and maintain clean full‑stack TypeScript code, drive architecture and cross-team best practices, and produce documentation and tests for maintainable systems.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.

As a Staff Software Engineer, you'll design scalable backend services, oversee architecture decisions, optimize performance, and enhance CI/CD processes while collaborating with teams.

The role involves developing high-performance software for fixed income indices, mentoring junior developers, and leading system architecture while driving Agile methodologies.

The Senior Platform Engineer will design and optimize infrastructure for GenAI and LLM workloads, manage GPU resources, and collaborate on deploying AI solutions.

Lead design, build, and operate CI/CD platform components: self-hosted GitHub Actions runners on GKE, ArgoCD/Argo Events GitOps, Helm charts, and Jenkins platform. Drive migrations, observability with Datadog, on-call incident response with PagerDuty, Terraform infrastructure, artifact management, and cross-team collaboration to ensure reliable, scalable delivery pipelines.

Lead the technical delivery and design of scalable kdb+ solutions while mentoring junior developers and collaborating with financial analysts.

The Lead Data Scientist designs and implements data-driven solutions, leads a team, collaborates with cross-functional teams, and mentors junior scientists while staying updated with industry advancements.

Collaborate with business users, develop and maintain code for applications, analyze time-series data, and mentor junior developers.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

As a Research Machine Learning Scientist, you will develop and apply deep learning techniques on large-scale datasets while collaborating with engineers. You will also research and innovate in AI applications to improve banking services.

The Engineering Manager will lead the development of a scalable Search Platform, mentor teams, manage business outcomes, and enhance engineering efficiency while ensuring high-quality software delivery.

The Senior Software Engineer will develop software by writing clean, efficient code, automate tasks, and collaborate with teams to enhance products, emphasizing TDD and API development.

Design and implement cloud solutions, manage cloud resources on GCP, optimize performance and security, and document procedures.