Top AWS Jobs in Toronto

Build and operate large-scale, high-performance infrastructure to run AI inference and agents on real-time streaming data. Design scalable, reliable serving layers, solve distributed-systems challenges, and optimize across cloud providers.

Design, build, and operate secure cloud and on-prem infrastructure for regulated environments. Lead containerization (Docker, Kubernetes), CI/CD and DevSecOps, IaC (Terraform/ARM), observability, reliability engineering, incident response, and platform standards to enable scalable SaaS and AI-enabled systems.

Build and scale a live ML data streaming analytics platform, lead greenfield real-time processing projects (Python/Rust), and design reliable backend services using cloud and orchestration tools.

Define, validate, and govern an implementation-ready end-to-end platform architecture for Venn. Lead data, services, APIs, cloud, security, and integration design; produce ADRs, component designs, prototypes, sequencing roadmaps, and transfer knowledge to in-house teams for multi-country, multi-tenant, low-connectivity contexts.

Lead and maintain supply chain planning and reporting applications (Kinaxis RapidResponse). Gather requirements, design technical solutions, execute testing and validation (CSV/GxP), manage upgrades/defects, coordinate vendors and stakeholders, and ensure systems remain compliant and aligned with business needs.

As a Senior AI Full Stack Developer, you will build and deploy AI-powered tools, integrate APIs, optimize workflows, and collaborate across teams to enhance cybersecurity practices.

Develop and enhance robust software solutions, improve software stability, manage technical debt, and collaborate in an agile environment.

As a Senior Software Developer, you will architect and develop robust software solutions, enhance software stability, manage tech debt, and collaborate with teams while staying updated on new technologies.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

The Principal Software Engineer will lead technical initiatives across teams, enhancing engineering effectiveness and ensuring high-quality systems, while mentoring senior engineers.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.

The Project Manager will lead large-scale IT application implementations, manage cross-functional teams, and drive Agile execution while overseeing budgets and stakeholder engagement.

As a Full Stack Engineer, you'll own the development of features from design to production, collaborate with various teams, and continuously improve the platform by solving technical challenges.

As a Senior Software Engineer, you will lead your team in delivering features according to specifications, ensuring scalable technical decisions, and mentoring team members.

The Principal Developer will lead the technical direction of the Exposure Management product area, contribute to architectural decisions, mentor engineers, and ensure high engineering standards across teams.

Build and operate high-throughput experimentation and recommendation infrastructure. Design APIs and services, use agentic AI workflows (LLMs) for development, ensure performance and reliability, participate in on-call, mentor teammates, and codify AI-native engineering practices.

As a Customer Support Developer at Airbyte, you will troubleshoot database issues, support customer integrations, develop database connectors, and collaborate cross-functionally to enhance database reliability and performance.

Design, build, and maintain scalable AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists and engineers to implement and optimize AI solutions, troubleshoot pipeline issues, document best practices, and develop MVP code to transition into production-ready systems.

As a Growth Engineer, you will integrate Ritual's AI infrastructure with partner applications, supporting integration lifecycle and developing documentation for APIs and SDKs.

Build and own a versioned, documented gold data layer from lakehouse silver tables for AI research. Transform, validate, and productize multi-modal datasets and pipelines (Databricks/PySpark) to support model development, evaluation, and production ML/LLM workflows while ensuring data quality, provenance, and regulatory controls.

Design, build, and operate core backend services for an AI-native context management system: ingestion, indexing, retrieval APIs, multi-tenant SaaS features, and agent-facing integrations. Define architecture, ensure observability, iterate from prototype to production, and collaborate across product and infrastructure while owning service reliability and technical direction.

Lead the design and delivery of Agentic AI solutions to enhance customer experience and operational efficiency, focusing on enterprise-wide AI transformation.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.