Top AWS Jobs in Toronto

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

As a Staff Engineer, you will lead architecture design and development, mentor junior engineers, and improve DevOps processes in a cloud services environment.

Operate, maintain and improve the global Tyk Cloud platform: run production Kubernetes clusters, manage cloud infrastructure, automate operations, run on-call incident response, create monitoring and dashboards, conduct post-incident analysis, document SRE processes, and drive reliability, efficiency and multi-region/multi-cloud expansion.

The Business Solution Architect leads the design and delivery of telecom solutions, bridging business needs and technical implementation while supporting digital transformation initiatives and guiding teams on architecture and integration.

The Java Back-End Developer will build and maintain backend applications, ensuring system reliability, collaborating with teams, conducting code reviews, and mentoring juniors.

As a Senior Fullstack Engineer, you will develop backend features using PHP, build frontend experiences with React and Vue, and lead technical discussions while contributing to microservices migration and ensuring platform performance.

Own cloud operational health, architecture intelligence, and cost optimization. Analyze cloud spend, build dashboards/reporting, enforce governance, review architecture for cost impact, and translate technical findings for engineering, finance, and executives.

The role involves leading full-stack architecture decisions, building scalable systems, optimizing performance, and mentoring developers, while driving platform strategies.

Lead and mentor engineering teams to deliver high-quality, AI-driven software, ensuring accountability and continuous improvement in development processes.

Support CloudOps teams by provisioning and managing cloud resources, monitoring performance, administering RBAC, assisting with IaC templates and automation, participating in FinOps cost monitoring, and creating operational documentation under mentorship.

Lead GenAI strategy and delivery: identify automation opportunities, design and scale RAG and agentic AI solutions, integrate RPA/IPA and orchestration, build LLMOps pipelines, prototype autonomous assistants, and drive adoption across product, engineering, and business stakeholders while ensuring governance and documentation.

Lead and grow a multi-site infrastructure and platform engineering team (5–10 engineers). Own infrastructure architecture, platformization, DevX, automation, security hardening, and AI enablement. Partner cross-functionally and with senior leadership to set strategy, roadmaps, and deliverables while remaining hands-on in development and mentoring engineers.

Own architecture, development, and reliability of ecommerce web applications (Symfony storefront and Laravel back-office). Lead front-end JavaScript/CSS direction, optimize SQL schemas/queries, improve observability and incident response, reduce legacy technical debt, establish AI-assisted development workflows, mentor engineers, and drive end-to-end delivery of scalable customer-facing features.

Build and maintain highly-available, scalable distributed services and data pipelines that power internal APIs and external applications. Productionize prototypes, develop tooling and libraries, work with ML engineers and security researchers, and ensure maintainability, monitoring, and reliability across cloud or on-prem systems.

Lead design, build, and deployment of AI/ML models, intelligent agents, automation, and scientist-facing apps for R&D. Partner with scientists to scope and prototype use cases, support MLOps, validation, platform integration, capability building, and track performance and value delivered in a regulated environment.

Build full‑stack web features from zero to one, integrate with third‑party APIs, design and manage state machines for financial workflows, own features through launch and post‑launch customer iteration, and maintain high code quality and accountability.

Build and ship end-to-end product features across frontend and backend: design APIs, develop backend services and asynchronous pipelines, implement responsive React UIs, optimize performance and reliability, work with AWS and queueing systems (e.g., SQS), and collaborate with product and design to deliver polished, scalable workflows.

Own and build end-to-end product features across frontend and backend: design APIs, develop backend services and asynchronous pipelines, implement high-performance React UIs, optimize reliability and scalability, work with AWS and queueing systems (e.g., SQS), and collaborate with product and design to ship data-intensive workflow automation.

Lead a high-impact engineering team, oversee feature delivery and platform scalability, and improve technical maturity through modernization and AI tools.

Design, build, and maintain production data infrastructure and pipelines; automate workflows; enable cross-team data access; perform large-scale data wrangling, statistical analysis, and visualization to deliver business insights.

Build and operate Valence's shared platform primitives (auth, routing, LLM gateway, deployment, observability, SLOs) to enable safe, scalable, and compliant delivery of AI-first products. Implement CI/CD gates, progressive delivery, rollback automation, security guardrails, region-aware routing, and developer-facing templates and tooling.

Design, build, and optimize Databricks-based data and ML platforms. Own ETL pipelines, Delta Lake lakehouse, MLflow model lifecycle, MLOps, cluster optimization, RAG/LLM solutions, BI integration, and data governance with Unity Catalog.

Hands-on AWS Cloud Architect/Developer to design and build cloud migration PoCs. Support solution design, implement PoC deployments within client cloud standards, and collaborate with client and vendor teams to deliver outcomes on tight timelines.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.