Top AWS Jobs in Toronto

Serve as the technical lead for strategic customers: onboard, train, troubleshoot, and drive adoption of Tailscale. Build relationships, conduct QBRs, recommend best practices, escalate product feedback, and maintain customer-facing documentation to enable long-term success and expansion.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Own and evolve cloud infrastructure across AWS/GCP/Azure, build CI/CD and containerized deployments, design multi-tenant environments, implement monitoring and IaC (Terraform/Ansible), lead data protection and threat detection, and support compliance and security audits.

Design and drive security architecture for applications, services, and infrastructure. Partner with engineering and DevOps on secure backend design, cloud and container security, CI/CD hardening, and access controls. Conduct threat modeling, risk assessments, and security reviews; integrate security tooling; enforce secure coding practices; mentor engineers; and stay current on fintech and blockchain threats and compliance standards.

Lead and grow a platform engineering team focused on infrastructure, SRE, and DevOps. Set platform architecture and roadmap, oversee cloud infrastructure, CI/CD and operational tooling, drive reliability and incident management, and build AI-powered internal tools to improve developer productivity while partnering with security, compliance, and product teams.

Build and maintain large-scale, cloud-based detection and threat-intelligence systems. Design, implement, and ship high-throughput streaming data pipelines and production-grade APIs, mentor engineers, lead architecture and cross-functional initiatives, remove technical debt, and ensure operational excellence including on-call support and security best practices.

Lead development and maintenance of the core data platform: build performant pipelines, data warehousing, and ML infrastructure; partner with data scientists to produce production datasets; ensure data governance, quality, lineage, and accessibility; integrate cross-platform data sources; automate reporting and deliver stakeholder insights to enable data-driven decisions.

Founding full-stack engineer to build front-end and back-end features for month-end close automation, integrate with ERP/HRIS/CRM systems, design backend jobs and data ingestion, ensure code quality and CI/CD, implement LLM-driven workflows, and help grow the engineering team.

Design, build, and deploy agentic AI workflows, LLM-enabled services, and cloud-native platform components. Integrate AI capabilities with enterprise systems, ensure production readiness, implement guardrails, testing, and monitoring, and collaborate with architects, delivery managers, and stakeholders to deliver secure, scalable AI-enabled automation and workflow solutions.

The Senior Staff Engineer at Kaseya is responsible for architecting scalable Java applications, optimizing AWS cloud solutions, and providing technical leadership and mentorship while solving complex problems in a collaborative team environment.

Lead and scale a product-focused data science organization to build production ML systems for personalization, recommendation, experimentation, and causal inference. Define strategy, partner with Product and Engineering, own end-to-end ML lifecycle, mentor the team, and measure product impact through robust analytics and monitoring.

Lead the creation of solution designs, ensure technical alignment across teams, improve IT processes, and provide technical leadership.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Build and deploy production LLM/ML pipelines for patent workflows: retrieval, multi-step prompt pipelines, evals frameworks, fine-tuning, agentic workflows, monitoring, and cloud deployment. Collaborate with attorneys and cross-functional teams to convert domain expertise into robust, scalable inference and data solutions.

As an Engagement Manager, lead BI projects, guide teams to transform data into actionable insights, and develop BI strategies ensuring data integrity and quality.

As a Principal Automation Engineer, lead infrastructure automation, define IaC strategies using Ansible and Terraform, and integrate AI into automation. Act as a technical consultant and mentor to teams, ensuring architectural governance and enhancing systems' reliability and speed to market.

Lead and grow a Data Engineering team to modernize enterprise data platforms (Snowflake/Databricks), deliver secure scalable batch and real-time pipelines, enable DataOps/MLOps, establish CI/CD and IaC practices, monitor platform health, and drive strategic platform migrations and performance optimizations with cross-functional stakeholders.

Lead the development and delivery of AI-driven product capabilities, transforming data into actionable insights while mentoring a high-performing team of data scientists and engineers.

Design and develop complex, scalable applications in an Agile team. Collaborate on features, estimate tasks, and maintain clear code.

Design and develop scalable applications in a team-based Agile environment, collaborating with cross-functional teams and utilizing cloud platforms.

Lead the development team in designing and building scalable applications, facilitating architecture discussions, and collaborating closely with clients and team members.

Develop and design scalable applications in a team-based Agile environment, collaborating on features and exploring new technologies.

As a Full Stack Software Developer, you'll design and develop scalable applications, collaborate with teams, and apply new technologies in an Agile environment.

Build enterprise applications as a Senior Software Developer, focusing on full stack development within an Agile team using various technologies.

The Cloud and DevOps Developer will provide cloud infrastructure builds, implement DevOps best practices, and participate in Agile project delivery.