Top AWS Jobs in Toronto

Contribute to the reliability and performance of Mithril's GPU orchestration platform through automation, observability, and infrastructure management. Collaborate with the team to ensure scalability across multi-cloud environments while maintaining systems stability and implementing SLOs.

Design and build the Neki control plane to provision, scale, and heal sharded PostgreSQL clusters. Implement high-availability, disaster recovery, backup/restore, and migration tooling. Operate distributed, fault-tolerant services on Kubernetes, participate in on-call rotations, and work with customers to translate workloads into platform improvements.

Design, implement, and maintain scalable, high-performance backend services for Home Assistant Cloud. Work on authentication, subscriptions, and payment services, participate in code reviews, collaborate cross-functionally, apply security and data-protection best practices, and operate production systems including troubleshooting and improving reliability and performance.

The Frontend Engineer will build web interfaces for a healthcare APIs clearinghouse while collaborating across teams to ensure high-quality, responsive design and functionality.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

The role involves designing, developing, and maintaining full-stack applications on AWS, implementing backend services and APIs, building user interfaces, and applying secure coding practices.

Lead architecture and implementation of high-throughput, low-latency AdServer and Exchange services. Design scalable, resilient distributed systems, integrate demand/supply partners, improve RTB/auction capabilities, advance observability and automation (including AI-driven testing/IaC), and mentor engineers to increase platform reliability and revenue growth.

As a Reliability Engineer, you'll design, implement, and maintain AWS cloud environments, ensuring systems' reliability and performance, while enhancing monitoring and incident response capabilities.

As a Staff Backend Engineer, you will design and own system architectures, lead feature delivery, mentor engineers, and improve system performance and security.

Partner with sales and enterprise clients to design and architect Amazon Connect-based contact center and CX solutions. Lead pre-sales workshops, author proposals/SOWs, build proofs-of-concept, integrate AI/ML (Amazon Lex, Bedrock), ensure compliance and security for regulated industries, and evangelize Amazon Connect capabilities through thought leadership.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.

Build and operate a reliable data platform: monitor infrastructure and pipelines, automate platform tasks, manage IaC and CI/CD, support RBAC and governance, contribute to data pipelines and migration, document runbooks, and participate in on-call incident response while improving AI-assisted engineering workflows.

Lead full-stack development of scalable, high-performance front-end and back-end systems using 3D/computer-vision tech. Drive architecture, mentor engineers, own key front-end systems, and deliver features from design to launch while collaborating with internal and external partners.

Lead data engineering efforts to migrate CRM data from Veeva to Salesforce Life Sciences Cloud into a Databricks lakehouse on AWS. Build and optimize ingestion pipelines, implement dbt transformations and Airflow orchestrations, manage Delta tables and Databricks clusters, and enforce data quality, monitoring, and CI/CD practices while collaborating across teams on US East Coast hours.

Lead the architecture and development of a next-gen Business Intelligence platform on AWS, implementing robust data solutions and guiding engineering teams.

Embed with client operators, learn and rebuild critical business processes, and deliver production GenAI/LLM systems on AWS. Own design, shipping, evaluation, and operational handoff while working cross-functionally with senior stakeholders to move business metrics.

Design, build, and maintain automated test suites, evaluation scenarios, and CI/CD quality gates for AI-powered applications. Test APIs, validate ML model outputs, create measurable evaluation rubrics, mentor teams, and contribute to shared QA frameworks and codebases.

Lead multiple engineering teams for Advanced Product Designer. Drive architecture, delivery, and operational maturity of APD, ensuring scalable and secure services. Champion AI practices and integrate with adjacent capabilities to enhance the developer experience and product lifecycle management.

The Senior Software Developer will design, build, and maintain high-quality code for front-end and back-end services while optimizing system performance and mentoring team members.

The React Full Stack Developer will design, develop and maintain web applications, leveraging expertise in Java and JavaScript frameworks, specifically React, along with deep knowledge of cloud-native application development and microservices architectures.

The Lead Agentic AI Engineer will lead the design and deployment of AI solutions, focusing on agentic workflows and LLM integration, while mentoring engineers and driving architectural best practices.

The role involves developing and maintaining web APIs and backend services using Java and Spring Boot, focusing on microservices and CI/CD in an agile environment.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.