Top AWS Jobs in Toronto

As a Senior Platform Engineer, you will enhance the developer experience by building AI platforms, managing infrastructure, and collaborating across teams to improve software delivery.

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

As a Staff Product Engineer, you will lead high-impact initiatives, shape architecture and product strategy, and mentor engineers while solving complex, ambiguous problems in product development.

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.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

Design and implement scalable, low-latency backend systems for Lyft Pricing. Lead multi-person projects, write maintainable and tested code, mentor teammates, participate in incident response, and collaborate with Product and Science on pricing solutions.

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

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

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

The Staff Application Engineer will develop critical application features, ensure code quality, and work collaboratively to impact sales compensation solutions.

Maintain and deploy mission-critical on-premise and cloud application infrastructure. Monitor systems, troubleshoot incidents, support client infrastructure provisioning and upgrades, and provide escalation support to regional teams. Implement Infrastructure as Code and automation, manage BAU systems administration, remediate security risks, and support development teams with application deployments. The role includes project support, global handovers, shift work, and collaboration across Operations, Information Security, and development teams.

Build and maintain a scalable document-processing platform supporting AI products and customer-facing applications. Design client-facing REST APIs using an API-first approach, develop cloud-native services with C# and .NET, and work with AI/ML and LLM technologies. Provide technical leadership through mentoring, code reviews, and architectural decisions while collaborating with engineers, product managers, scientists, and legal experts. Participate in testing, monitoring, incident management, and on-call rotations.

Lead solution architecture for enterprise applications, driving cloud (Azure) adoption, IAM (Okta/Auth0/Azure AD) design, microservices integration, API and batch processing, application portfolio rationalization, and governance. Partner with business and delivery teams to design secure authentication/authorization, create architecture roadmaps, and implement DevSecOps and agile practices.

Designs, builds, and operates CI/CD pipelines and automated platforms across SaaS, cloud, and on-premise environments. Responsibilities include environment provisioning and lifecycle management, monitoring and observability, incident troubleshooting, database and data operations, release engineering, infrastructure automation, and reliability improvements. The role collaborates with development, QA, product, and client teams while promoting DevOps best practices, documentation, standardization, and continuous improvement.

Design, develop, and maintain scalable full-stack features for SOTI XSight using C#, .NET, TypeScript, and Angular. Drive architecture, integrate analytics/AI, mentor developers, troubleshoot complex issues, and collaborate with stakeholders to deliver high-quality, cloud-ready solutions.

The AWS DevOps Engineer will manage AWS infrastructure, set up Kubernetes, build CI/CD pipelines, and automate deployments while collaborating with the team.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Designs and evolves scalable, highly available, resilient, and cost-effective AWS and Azure architectures. Builds cloud automation, Infrastructure as Code, CI/CD workflows, networking, serverless and containerized solutions, disaster recovery, and cross-cloud connectivity. Improves cloud environments through modernization, performance and cost optimization, and operational automation. Partners with engineering and operations teams on migrations, troubleshooting, architecture reviews, and proofs of concept while defining standards and mentoring engineers.

Designs enterprise-grade AI/ML platforms and architectures for agentic systems, RAG pipelines, and multimodal applications. Establishes GenAI infrastructure standards, governance, security, compliance, observability, and cost optimization practices. Evaluates AI technologies and vendors, creates reference architectures, and partners with product and engineering teams to deliver scalable cloud-native solutions across AWS and Azure.

The Senior Frontend Engineer will lead complex frontend features, enhance user experience and contribute to product architecture within Forma's ICM Operations platform.

Build and operate MedMe’s AWS platform, including infrastructure, deployment pipelines, observability, audit logging, and security controls. Lead platform initiatives, consolidate CDK configurations, improve deployment workflows, support engineering teams, and guide infrastructure security and compliance. The role requires strong Terraform expertise, hands-on AWS CDK experience, production infrastructure ownership, and on-call experience. It is hybrid in Toronto with occasional travel.

Design, build, and maintain scalable AI agents and enterprise-grade ELT/ETL pipelines using Python, PySpark, Databricks, and microservices. Deploy and integrate LLMs and agentic AI (Google ADK, Devin.AI, MCP), ensure data quality, security, and CI/CD-driven cloud-native operations, and drive data federation and Data Mesh solutions.

Lead architecture and implementation for marketplace platform integrations. Design scalable distributed services, write production backend code in Java, conduct design and code reviews, and translate ambiguous business goals into technical solutions. Collaborate with engineering teams across platforms, stacks, and geographies while shaping integration patterns, maintainability, and long-term scalability.

Designs, builds, and maintains cloud environments and CI/CD pipelines for scalable, reliable applications. Responsibilities include cloud platform assessment, infrastructure automation, container orchestration, application deployment, monitoring, vulnerability remediation, security safeguards, testing, documentation, issue tracking, and technical reporting. The role requires extensive Linux, scripting, cloud, integration, testing, and DevOps tooling experience, with at least five years supporting cloud platforms and CI/CD initiatives.