Top AWS Jobs in Toronto

You will develop high-performance quantum software components, build benchmarking tools, and lead best practices in software development processes.

As a Manager, Applied Research, you will lead a team of scientists to drive innovative AI research into production solutions, mentor team members, and collaborate with product leaders to define AI strategies.

The Senior Backend Engineer will architect technology and enhance customer experiences, mentor junior engineers, and deliver scalable backend solutions.

As a Senior Full-Stack Engineer, you’ll architect technology and customer experiences for web products, mentor junior staff, and develop scalable platforms and APIs while collaborating with cross-functional teams.

Quota-carrying enterprise sales role focused on selling Data & AI services and Database Managed Services. Build territory plans, maintain forecasted pipeline in Salesforce, lead discovery and solution conversations for Production AI and cloud data platforms, co-sell with hyperscaler and OEM partners, and manage complex deal execution across internal teams to close high-value, recurring-revenue engagements.

As a Staff Backend Engineer, you'll design and evolve backend services, architect data models, mentor engineers, and influence architecture and product direction to enhance enterprise-grade performance.

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

Provide consultative engineering and high-tier support to enterprise customers: design, architecture, integration, implementation, performance testing, migrations, and hands-on troubleshooting. Handle L1-L3 support, collaborate with Product/Engineering/Sales, produce documentation and benchmarks, mentor hires, and support on-call and regional onsite needs (up to 35% travel).

Develop and maintain server-side components for Tempo's flagship Jira Cloud products using Kotlin/Java. Design scalable distributed systems and APIs, write unit/integration/performance tests, optimize performance and database queries, collaborate with product, design, QA and docs teams, and contribute to code reviews with a focus on security, UX, and maintainability.

Lead global SRE team to design, operate, and optimize scalable cloud infrastructure (AWS/Azure/GCP). Own reliability, observability, incident response, IaC, CI/CD, cost optimization (FinOps), security hygiene, and mentor engineers while contributing hands-on and researching AI-driven SRE tooling.

Serve as the day-to-day technical leader for enterprise SaaS implementations: translate business requirements into implementation-ready stories, define APIs and data mappings, identify technical risks, produce solution documentation, and collaborate with clients, architects, business analysts, and engineering teams to ensure delivery quality.

Lead vision, strategy, and execution for the Elastic Agent Builder to enable scalable context for AI agents. Engage enterprise customers and sales to capture requirements, define roadmap for context engineering, benchmark agent capabilities with data science, design UX for context refinement, and evangelize capabilities to partners and the developer community.

Design and deliver end-to-end marketing measurement and testing: data extraction, modeling, analysis, and visualization. Prioritize and route requests, translate business needs into technical requirements, mentor junior analysts, improve measurement standards, and drive actionable insights for retail and brand partners.

Design, build, test, and deploy scalable full-stack web applications using Java/Spring and modern JavaScript. Develop backend services/APIs, optimize database queries, support CI/CD and automated testing, participate in code reviews, and mentor junior developers while collaborating with cross-functional teams.

Lead AI strategy engagements, manage complex client relationships, drive discovery, and deliver actionable plans to increase business effectiveness with AI solutions.

Design, build, and operate secure, scalable AWS cloud solutions. Develop and maintain reusable IaC (CloudFormation/CDK), policy-as-code (Rego), serverless and container patterns, observability, and automation. Collaborate with security/compliance, support PoC-to-production implementations, and enable development teams through guidance, standards, and mentoring.

Lead pre-sales and solution design for enterprise AI, cloud, software and data engagements. Craft proposals, proofs-of-concept, and reference architectures; run workshops; align stakeholders; support delivery transition; collaborate with Sales, Marketing and Delivery to grow the AI practice and drive measurable client outcomes.

Develop and maintain enterprise-level cloud services for Autodesk's AEC platform, collaborating with cross-functional teams to enhance product performance and efficiency.

Design, develop, integrate, and maintain scalable web applications and backend services using .NET Core and Python. Build RESTful APIs and microservices, optimize database queries, implement security and authentication, support CI/CD and cloud deployments, participate in Agile/Scrum, perform testing and performance tuning, and produce technical documentation.

Operate and evolve an OpenStack-based private cloud and Ceph storage, troubleshoot full-stack issues, handle feature requests and support tickets, build automation and tooling, document runbooks, integrate storage with Kubernetes, and participate in on-call rotations to maintain platform reliability.

Operate and scale Kubernetes clusters across datacenters, triage infrastructure issues, build automation and tooling, collaborate with SRE/Networking/Security, support engineering teams, and participate in on-call rotation to maintain platform reliability.

Design, build, deploy, and operate an internal AI platform and AI-powered developer workflows. Implement CI/CD for models, prompts, and evaluations; integrate Bedrock/agent frameworks; ensure security, observability, reliability, and cost/version controls; respond to incidents and participate in on-call rotations; promote AI best practices and lead architecture discussions.

The IT Administrator will manage IT operations, provide technical support, implement security measures, and drive automation initiatives enhancing employee experience and system efficiency.

Develop and maintain delivery and automation systems using TypeScript/Node (NestJS) and Go. Provide operational coverage, ship features, investigate deploy issues, support CI/CD and GitOps tooling (ArgoCD/Helm/GitHub Actions), and contribute to infrastructure provisioning and automation.

Own and operate GitOps deployment APIs/CLI and deployment tooling (ArgoCD, Helm) for Cloud Run; maintain TypeScript Nx monorepo and ingress Helm charts; build Go services and durable workflows (Temporal); implement MCP and agentic AI workflows; stabilize, document, and evolve production delivery/platform systems.