Top AWS Jobs in Toronto

Lead end-to-end feature development across diverse web stacks with a front-end emphasis, modernizing legacy SaaS applications while ensuring stability, test coverage, and secure deployments. Champion AI-augmented development practices and agentic coding tools to accelerate delivery, mentor engineers, and communicate progress to leadership.

Lead end-to-end AI solutions as a forward-deployed engineer: scope, design, and deploy ML/LLM systems; partner with clients and stakeholders; build infrastructure, data pipelines, and reusable platform components; mentor engineers; own projects from discovery through production and provide on-call support.

Lead design and implementation of a zero-to-one, real-time collaborative web content platform. Own architecture, build backend sync and delivery services, craft low-latency frontend editing experiences, define engineering standards, evaluate third-party tradeoffs, and mentor engineers while partnering with product and design.

Develop scalable front-end and back-end features for a consumer-facing 3D/AR product using computer vision. Collaborate with product and design, own systems lifecycle, ensure performance and quality, unblock partners, and continuously learn and improve.

Build scalable, high-performance front-end experiences using React/Next.js and Three.js, collaborate with product and design, own systems, integrate computer vision, and deliver polished UX for customers.

The role involves developing backend services using Python and Django, ensuring high availability and performance, and leveraging computer vision technology for 3D experiences in home decor.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

Lead a research engineering team to deliver AI solutions from prototype to production. Manage cross-functional delivery with product and applied scientists, drive technical roadmap and infrastructure, mentor engineers, champion advanced engineering practices, and own rollout of business-critical, customer-facing features while balancing technical debt and scalability.

Lead and operationalize AI delivery across internal teams and client engagements: embed AI-enabled workflows, define playbooks and governance, mentor delivery teams, support pre-sales and solutioning, and drive production-grade AI solutions with measurable business outcomes for mid-market and enterprise clients.

Design, develop, and implement enterprise Order Management System solutions. Build order orchestration, inventory visibility, fulfillment, and returns workflows; integrate OMS with ERP, eCommerce, WMS, CRM, and payment systems; write and review code; troubleshoot integrations and performance; support deployments and continuous improvement in a cloud-native, agile environment.

Develop, configure and implement Fluent Commerce OMS solutions including order orchestration, inventory visibility, fulfillment, and returns workflows. Build integrations with ERP, eCommerce platforms, WMS and CRM via APIs, write maintainable code, participate in code reviews, troubleshoot OMS/integration issues, and collaborate with product and engineering teams to translate requirements into scalable cloud-native solutions.

Lead technical direction and architecture for the Fable backend, own platform reliability (databases, CI/CD, queues, observability), run incident response and postmortems, mentor engineers, collaborate cross-functionally with product/design/ML, and build platform capabilities enabling faster, safer delivery.

Lead the product strategy for Scribd's internal developer and agentic platforms: unify AI workstreams, own internal app/plugin/agent runtimes, translate functional needs into platform requirements, drive cross-functional adoption and metrics, and run internal rollouts and evaluation to prove impact.

As a Senior Software Engineer, you will design and implement scalable systems, lead modernization initiatives, and ensure operational reliability while collaborating with teams and mentoring engineers.

This role involves maintaining the reliability and operational health of CMS services, incident management, and supporting production systems while collaborating with various teams.

Operate and maintain an on-prem OpenShift platform (including Service Mesh/Istio), manage cluster lifecycle, container image build and supply-chain, run CI/CD pipelines, administer RHEL hosts and databases (CockroachDB, EDB Postgres), manage ingress/TLS and certificates, implement automation (Ansible, Bash, Python), monitor observability/alerts, and participate in incident response and change management to meet SLA/SLO targets.

As a Site Reliability Engineer, you will enhance system reliability, drive incident responses, design tools for automation, and participate in on-call rotations.

As a Senior Software Engineer, you will develop and maintain software for healthcare applications, utilizing big data technologies and programming languages, ensuring high-quality code and system performance.

Design and build low-latency, high-throughput backend services and REST/GraphQL APIs using Core Java and Spring. Implement full-stack features with React/JavaScript, write SQL for real-time analysis, apply CI/automation testing, and work in microservices containers on cloud platforms (GCP/AWS). Collaborate in cross-functional agile teams to deliver product roadmap initiatives.

Embed with cross-functional teams to map high-value workflows, design agentic or deterministic automated solutions, build production-ready tools, and run them with monitoring, evals, and continuous improvement. Balance stakeholder discovery, systems integration, full-stack development, and operational ownership to increase throughput and reduce cost.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

Develop and deploy scalable deep learning and reinforcement learning systems, optimize performance, and collaborate with data teams at Quincus.

The Site Reliability Engineer will enhance operational reliability, managing incidents, improving system performance, and maintaining metrics to ensure scalability and resilience.

The DevOps Engineer will enhance CI/CD workflows, manage AWS infrastructure, automate operations, and improve system reliability and monitoring.

Lead design, implementation, and management of CI/CD, container platforms, IaC, and observability. Build pipelines with Tekton and Harness, administer OpenShift/Kubernetes, automate provisioning with Terraform/Ansible, and monitor systems with Prometheus/Grafana. Collaborate with development teams, ensure resiliency/scalability/security, drive platform strategy, perform root cause analysis, and enforce compliance and quality standards.