Top AWS Jobs in Toronto

The role involves designing and building scalable software architectures, owning features end-to-end, collaborating across teams, and improving application performance.

Seeking a Full Stack Engineer to design, build, and scale consumer-facing applications for Goldin, focusing on cloud-native architectures, AWS, and APIs while collaborating with cross-functional teams.

As a Full Stack Engineer, you will design, build and scale cloud-native applications on AWS, focusing on consumer experiences and collaboration with various teams.

Lead and develop a team of Business Development Representatives, drive partnerships, and execute growth strategies for AWS and Google Cloud solutions.

Lead design, development, and production deployment of AI/ML capabilities for a commercial real estate SaaS platform. Build LLM-powered features and custom models, establish AI standards and infrastructure, mentor engineers, drive applied research, and partner with product, data, and engineering teams to deliver scalable, responsible AI solutions.

Hands-on Engineering Lead responsible for system architecture, backend and API design, data persistence, DevOps collaboration, performance optimization, and mentoring a 4-5 engineer team to deliver scalable, secure web applications.

Design, develop, and maintain scalable full‑stack applications using React/NextJS (TypeScript) with Python or Node.js backends. Build reusable UI components, implement REST/GraphQL APIs, ensure code quality and performance, troubleshoot production issues, participate in agile ceremonies, contribute to architecture, and mentor junior engineers.

Design, build, and operate resilient, secure, and scalable infrastructure for mission-critical financial platforms. Implement IaC and CI/CD, automation frameworks, observability, incident response, production support, root-cause analysis, and compliance with enterprise/regulatory standards. Collaborate with development, operations, and security teams and participate in on-call rotation.

Lead cloud cost visibility, forecasting, and optimization across AWS, Azure, and AI environments. Build and automate FinOps tooling and workflows, manage tagging and cost allocation, recommend and track savings plans/reservations, monitor anomalies, and collaborate with engineering and finance to drive cost efficiencies.

Design, develop, deploy, and operate high-scale, cloud-native applications and microservices. Work across teams to integrate systems, participate in architecture and sprint activities, troubleshoot production issues, and improve scalability and CI/CD delivery pipelines.

Lead strategy and operations for Magnet's cloud platform and shared services, ensuring reliability, security, compliance, cost governance, and developer experience. Oversee cloud infrastructure, observability, CI/CD, identity services, FinOps, AI enablement, vendor management, and cross-functional initiatives to support large-scale SaaS products.

Build, operate, and scale MLSE's cloud platform across AWS, Azure, Kubernetes and on-prem. Apply SRE practices, automate infrastructure with Terraform/Ansible, manage CI/CD and observability, and guide cross-functional teams on design patterns and operational best practices.

Lead and execute end-to-end testing for large-scale enterprise systems: develop/maintain test strategies, cases, automation, and performance tests; track defects; ensure AODA and QA/security compliance across CI/CD environments.

Lead and manage Guidewire customer engagements, ensure on-time/on-budget delivery, own financial performance, build executive relationships, mitigate risks, support sales, and coordinate cross-functional teams for customer success.

Design, build, and operate scalable Generative AI systems and RAG pipelines; own end-to-end AI application lifecycle on Databricks and AKS; integrate LLMs with data sources and APIs; implement LLMOps, evaluation, observability, and production monitoring; mentor engineers and influence product roadmaps.

Develop, deploy, and maintain AI-powered applications and intelligent workflows using Python in cloud-native environments. Build APIs, microservices, and data pipelines; integrate LLMs and ML models; implement retrieval/prompt-driven experiences and CI/CD; optimize performance, security, and scalability; collaborate cross-functionally and troubleshoot model and system issues.

Lead Security Architect designs and implements enterprise security frameworks and roadmaps, secures cloud (Azure/AWS), applications, CI/CD, IAM and AI systems, performs risk assessments and threat modeling, evaluates security tools, conducts financial analysis for security technologies, manages deployments and stakeholder coordination, mentors teams, and enforces alignment with global security standards.

Lead design and implementation of highly scalable, secure backend services and APIs. Define architecture for databases and microservices, own projects end-to-end, resolve reliability/performance issues, improve CI/CD and observability, mentor engineers, and align technical strategy with product and security requirements.

The Machine Learning Engineer will design, develop, and deploy ML pipelines, optimize models, collaborate on data workflows, and implement MLOps best practices in a fintech environment.

The Senior React Native Developer will design, build, and ship cross-platform mobile apps, ensuring high performance and reliability while collaborating with various teams.

Lead a team of developers in delivering fleet-management software, manage the software delivery lifecycle, and contribute code while mentoring team members.

The Full Stack Developer role involves building and maintaining cloud-based applications and services, optimizing deployments, and enhancing workflows across the tech stack with a focus on AWS and automation.

Build, maintain, and evolve Mozilla’s Internal Developer Infrastructure Platform: CI/CD, observability, Kubernetes optimization, environment bootstrapping, and cost optimization. Lead technical decisions, create Claude skills and agentic workflows to boost developer productivity, mentor teammates, write proposals, and deliver cross-functional platform features while ensuring usability, maintainability, and safe production paths.

Lead Business Intelligence and Systems Integration, driving data governance and enterprise solutions to enhance decision support and automate processes.

Design, build, and scale MLOps infrastructure and CI/CD/continuous training pipelines. Deploy and monitor ML models as microservices or batch jobs, manage cloud GPU/CPU resources with IaC, enable observability for model drift and latency, and collaborate with data scientists, engineers, and product teams to ensure reproducibility, compliance, and production reliability.