Top AWS Jobs in Toronto

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.

Senior backend engineer responsible for building and scaling microservice-based backend systems, driving technical initiatives, collaborating with product and sales, prioritizing customer needs, improving infrastructure and performance, and using AI tools to accelerate development and workflows.

Build and scale the enterprise sales organization: define sales architecture, hire and lead founding sales team, own enterprise ARR growth, close initial six- and seven-figure deals, establish land-and-expand motions, manage channel/partner strategy, navigate enterprise security/procurement, and align sales with product and engineering.

Lead design and operations of GPU infrastructure and Kubernetes-based AI platform environments. Manage capacity planning, optimize training/inference workloads, define reliability and security practices, implement IaC, monitoring, and disaster recovery, and collaborate with AI engineering to evolve infrastructure.

This role involves serving as the primary technical advisor for enterprise clients, ensuring effective implementation of low-code platform solutions, providing proactive technical support, and facilitating knowledge transfer to enhance client self-sufficiency.

Design and architect scalable, secure cloud solutions by analyzing complex requirements, selecting and integrating technologies, producing technical documentation, leading stakeholder presentations, collaborating with development teams for implementation, mentoring junior architects, and continuously evaluating emerging technologies for optimization and compliance.

Design and implement data models, pipelines, and ML systems to power AI agents and analytics. Build, deploy, and monitor machine learning models at scale, integrate Snowflake/AWS and Salesforce Data Cloud, and deliver production-ready data products and views to stakeholders.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Design and build end-to-end, enterprise-grade systems that enable AI agents to initiate and complete finance workflows. Own features across backend and frontend, integrate AI/ML models into auditable production systems, ensure scale, security, and reliability, and collaborate with product and customers to solve accounting problems.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

Founding full-stack engineer to architect and build a production platform combining large-scale data systems and AI-native agents. Work across backend, frontend, data pipelines, agents, and deployment systems; define architecture, devops, CI/CD, and early engineering processes while shipping features and growing the team.

The Senior Software Developer will lead design and implementation of backend systems, mentor peers, and enhance AI capabilities in tax research software, focusing on high-quality standards and rapid delivery.

As a Senior Machine Learning Engineer, you will design, develop, and deploy ML systems, mentor team members, and collaborate on advanced AI applications in tax research.

As a Software Developer II, you will design and implement software systems, collaborate with peers, and improve product capabilities using various technologies, particularly TypeScript and Python.

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.

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 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.

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.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.