Top AWS Jobs in Toronto

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.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

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.

Build and deliver education-focused product experiences across backend services, integrations, automation, experimentation, and light frontend. Implement APIs, containerized deployments, CI/CD, and integrate ML/AI solutions; write well-tested production code, maintain observability, and collaborate with cross-functional teams to take features from prototype to production.

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.

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.

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.

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.

The Senior Lead Java Fullstack Software Engineer leads application systems analysis and programming, develops methodologies, and oversees teams to meet technology goals and ensure compliance.

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.

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 and manage applications development teams to design, implement, and deliver high-quality, resilient payment systems. Provide technical oversight, drive architecture and code quality, manage releases and post-production support, and liaise with stakeholders. Coach engineers, govern processes (CI/CD, observability, TDD), and lead payment modernization projects within a banking payments domain.

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

Lead design, build, and maintain high-availability CI/CD infrastructure. Advise developers/testers on DevOps toolchains, research emerging tools, optimize build and release processes, perform code reviews and security analysis, manage Microsoft Power Platform, and collaborate across the SDLC to deploy and tune cloud/PaaS solutions.