Top AWS Jobs in Toronto

Lead technical analysis and design for data solutions, create data models and mapping documents, identify input/output data, mentor junior analysts, and support data warehousing, ETL, and cloud-based implementations.

Design, develop, test, and support data and AI products. Partner with stakeholders to translate requirements, build ETL/ELT pipelines, perform data modeling/profiling, automate frameworks, troubleshoot production issues, and participate in process improvements.

Design, build, and maintain high-performance data pipelines on Snowflake using dbt and AWS. Own code (SQL, Python, Shell, Terraform), ensure data quality and governance, troubleshoot complex issues, lead agile delivery and mentor engineers, collaborate with architects and QA, and produce technical documentation.

Lead design and implementation of secure, scalable backend services, APIs, event-driven pipelines, and content-driven frontends. Integrate GenAI and third-party SaaS, manage cloud infrastructure with Infrastructure as Code, implement enterprise authentication/authorization, participate in architecture and security reviews, and mentor engineers while promoting Shift-Left SDLC practices.

Define scalable, secure frontend architectures for web, mobile, and AI-enabled customer and broker channels. Partner with product, engineering, and architecture teams to reduce technical debt, guide implementation, ensure security/compliance, mentor engineers, evaluate emerging technologies, and support modernization roadmaps and delivery decisions.

Lead architecture and delivery of scalable AI systems for P&C insurance, oversee fraud prevention platform from data to production, mentor AI engineers, collaborate with business stakeholders, prototype novel AI techniques (LLMs, GNNs, CV), and drive cloud deployments and responsible AI practices.

Build and scale low-latency, reliable infrastructure for online AI evaluation: APIs, gateways, streaming handling, observability, enterprise features (rate limiting, auth, billing), and integrations with LLM providers and evaluation platforms.

Lead design and rewrites to build a scalable, resilient backend and cloud infrastructure. Own data storage performance, CI/CD pipelines, IaC, observability, incident response, and analytics. Mentor engineers, support customer onboarding and integrations, and drive reliability and scalability for AI-first products.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Lead architecture and rewrites for a scalable, resilient AI-first platform. Own backend systems, data storage performance, deployment pipelines, cloud infrastructure via IaC, observability, incident response, and analytics. Mentor engineers and enable rapid customer onboarding and AI-driven automation.

The role involves integrating generative models into Intangible Studio, evolving job systems with TypeScript and Node, and maintaining high visual quality standards.

Design, prototype, and ship production AI/ML features that analyze observability data to detect, triage, and resolve incidents. Rapidly iterate on LLM- and agent-powered workflows, collaborate cross-functionally, integrate AI with internal tools and alerting systems, and ensure solutions are scalable, maintainable, and aligned with user workflows.

Lead architecture and implementation of large-scale cloud and platform initiatives. Define platform services, APIs, and AI/agent-enabled capabilities. Drive cross-team delivery, CI/CD, observability, and mentor engineers to improve scalability, reliability, and developer productivity.

As a Technical Account Manager, you will guide strategic customers through their orchestration journey, ensuring smooth adoption and driving measurable customer outcomes while providing expert technical advice and fostering relationships among cross-functional teams.

The Technical Architect is responsible for designing and implementing scalable solutions, engaging with customers and vendors, and mentoring engineering teams. They must contribute code and ensure successful delivery while maintaining a hands-on approach.

Design, architect, and implement new features for the Spellbook application while collaborating with product management and improving existing functionalities using AI technologies.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

Lead the architecture and development of enterprise software tools, focusing on secure cloud systems, Node.js applications, and AI integrations while ensuring quality and reliability.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Founding Software Engineer will build and enhance crisis-intervention software, focusing on mobile and web applications for government welfare, ensuring compliance and integrating data securely. Responsibilities include feature development, security enhancements, and managing interns.

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, BI/semantic models, and integration strategies. Provide delivery oversight, mentor teams, conduct architecture reviews, and support pre-sales and thought leadership to drive measurable business outcomes.

As a Senior Software Engineer, you'll analyze data integrity issues, craft high-quality client code, collaborate with project stakeholders, and drive project delivery while mentoring others in Agile methodologies.