Top AWS Jobs in Toronto

Develop and train large-scale multimodal foundation models (vision and language) that fuse imaging with molecular data, build scalable distributed ML pipelines for petabyte-scale datasets, and collaborate with experimental scientists and engineers to productionize models and systems.

Lead full‑stack development for an AI‑powered web application, define AI/ML architecture, prototype cutting‑edge models, ensure secure scalable cloud infrastructure, mentor engineers, and collaborate cross‑functionally to deliver production AI systems.

Design end-to-end cloud-native AI and data platform architectures enabling Digital Twin and Knowledge Graph solutions. Lead architecture discussions, define scalable platform patterns, collaborate with AI/data/infrastructure teams, evaluate emerging AI technologies, produce technical documentation, and support solution discovery and roadmap planning.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Lead DevOps and SRE initiatives for cloud data platforms: build and manage Kubernetes deployments (EKS/GKE), IaC with Terraform, CI/CD (Jenkins/ArgoCD/GitHub Actions), cloud data services, observability, automation with Python, cost optimization, and drive company-wide best practices for reliability and scalability.

Partner with sales and customer technical teams to design and deliver scalable Databricks Lakehouse architectures, present reference architectures and demos, validate integrations, and drive adoption of data engineering, data science, and ML solutions. Serve as a trusted technical advisor throughout the sales lifecycle and manage delivery of production data solutions.

Build and maintain platform and infrastructure for quantum hardware development: design APIs and internal tooling, manage AWS-backed data infrastructure, implement CI/CD and containerized deployments, collaborate with hardware researchers, and perform DevOps tasks across multiple repositories.

The Head of Engineering will lead a senior team to deliver innovative mobile technology, manage the technical roadmap, and integrate AI tooling into workflows.

Serve as the Tier 3 technical escalation owner: diagnose and fix code-level production issues across Node/TypeScript/AWS systems, deploy fixes, build runbooks, analyze incident trends, drive process improvements, and mentor the Application Support team.

Lead a team of Python developers and statistical analysts to build, deploy and integrate Hyperexponential pricing solutions for commercial lines. Partner with actuaries, underwriters and IT to gather requirements, prioritize work, mentor engineers, apply software engineering best practices (TDD, modular code, Git), and drive delivery into production.

Design, maintain, and modernize cloud infrastructure and automation for live-service games. Improve CI/CD, IaC, observability, secrets management, data pipeline reliability, and incident response while balancing uptime with modernization. Support AI-enabled tooling, cost management, and create runbooks and SOPs for production ownership.

Design, build, and own CI/build/test pipelines for a compiler/runtime/simulator stack; scale and parallelize large test suites, manage heterogeneous CI runner fleets and scarce hardware, implement perf-regression baselines and observability, and define hermetic, safe-by-default build and test standards to maximize developer velocity.

Lead and evolve a cloud-native platform by improving CI/CD, IaC, reliability, security, and automation. Architect scalable hosting, drive DevOps best practices, manage AWS-based infrastructure, participate in on-call and incident response, and mentor cross-functional teams to increase platform resilience and delivery velocity.

Own and improve security posture, design and maintain scalable AWS infrastructure with Terraform, embed with product teams to bake security into CI/CD, operate containerized workloads, and participate in on-call incident response to ensure resilient, high-volume browser rendering services.

As a Full Stack Product Engineer, you will design and deliver features, collaborating with product teams while taking ownership of projects and ensuring system performance and maintainability.

Design, administer, and optimize Postgres databases on cloud-native platforms. Triage and remediate production database incidents, manage replication/backups, evaluate schemas and queries for performance, and build repeatable DB architecture using IaC and GitOps for AWS/GCP Kubernetes environments.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.

Lead and facilitate Scrum ceremonies, coach teams on agile practices, coordinate migrations with application owners, manage risks and dependencies, maintain Jira artifacts and sprint reporting to enable predictable delivery.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

Design and lead enterprise graph database and semantic data architectures, define ontologies and knowledge graph structures, integrate graph systems with cloud platforms, support LLM and AI use cases, run discovery workshops, document architecture, and mentor engineering teams.

Sell Akamai solutions to new major accounts in Canada, build C-level relationships, develop strategic sales plans, manage channel/reseller partnerships, drive high-volume pipeline, and negotiate contracts to ensure customer adoption and satisfaction.

As a Senior Software Engineer, you will develop high-quality software applications, mentor teams, and drive project deliveries while collaborating with various stakeholders.

Lead technical strategy and hands-on implementation for Faire's data platform. Architect and scale ETL/ELT, streaming and batch pipelines, data warehousing, orchestration, monitoring, cost optimization, security, and governance. Mentor teams, prioritize platform roadmaps, and partner with product, analytics, and data science to enable self-serve data capabilities across the company.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.