Top AWS Jobs in Toronto

The role focuses on integrating with external services, developing AWS-based APIs, automating tasks, and ensuring data reporting accuracy. Collaboration with cross-functional teams and maintaining robust solutions are key responsibilities.

The Database Reliability Engineer manages the cloud database infrastructure, improves processes through automation, liaises with engineering teams, and enhances database performance and availability.

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

The Senior AI Software Engineer will lead the development of AI-augmented applications, oversee full-stack development, define technical standards, integrate design and development processes, and mentor teams to enhance productivity.

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.

As an Applied AI Engineer, you will design, develop, and deploy AI automation solutions, integrating LLMs into business workflows, and collaborating with stakeholders. Responsibilities include building reliable systems, supporting clients, and enhancing features.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

The Engineering Manager will lead and grow a team of full stack engineers, overseeing delivery and ensuring scalable, high-performance services for the CCaaS platform while collaborating across various teams.

The Staff Software Engineer, Infrastructure designs scalable infrastructure systems, leads complex initiatives, and mentors teams while ensuring operational excellence across cloud and AI systems.

This role involves developing and maintaining AWS cloud infrastructure, optimizing deployment pipelines, and improving developer tools for the pennylane.ai ecosystem.

As a Staff Software Engineer, you will lead technical strategies, improve system performance, mentor engineers, and navigate complex problems across Carta's products.

As a Software Developer, you'll aid in building and maintaining products for the pennylane.ai ecosystem, implementing APIs, and performing DevOps tasks while ensuring high-quality code.

As a Senior Software Engineer II, you'll lead technically complex projects, drive implementation, simplify systems, mentor peers, and collaborate cross-functionally.

Design, develop, and integrate scalable applications using Angular for frontend and Java with Spring Boot for backend. Ensure seamless user experience and performance while collaborating with cross-functional teams.

Design, develop, and maintain backend services using Core Java and Spring Boot, working with Microservices, RESTful APIs, and SQL/NoSQL databases.

The Java Full Stack Developer will develop backend services, design Microservices, and build responsive UIs with React.js, ensuring integration and performance optimization.

The Systems Administrator III designs, automates, and maintains systems infrastructure, supports daily operations, manages platform capacity, and partners with teams on initiatives.

As a Senior Full Stack Software Engineer, you will build user-facing and backend experiences for AI agents, collaborating across teams to deliver scalable solutions.

The Cloud Architect will lead the design and implementation of hybrid infrastructure, integrating on-premise and cloud solutions while collaborating across teams and mentoring technical staff.

Lead the Network Operations team in modernizing Marqeta's infrastructure from traditional data centers to a cloud-native architecture, ensuring 99.999% uptime. Oversee cloud networking, team management, automation initiatives, and corporate network infrastructure. Negotiate vendor contracts and ensure reliable connectivity across all locations.

As a Data Engineer, you'll develop and manage data ingestion pipelines, model data for analytics, and ensure data quality across advertising platforms.

Design and build large-scale, multi-tenant SaaS systems, overseeing end-to-end feature delivery and ensuring technical excellence while mentoring other engineers.

The cybersecurity engineer will oversee operations bridging strategy and tech, handle incidents, automate patching, and develop policies.

Design, develop, and maintain backend services for Moneris' Credit Risk platform, focusing on RESTful APIs, system architecture, automated testing, and collaboration with stakeholders.

As a Data Scientist at Sanofi, you will develop AI solutions, influence digital strategies, and mentor junior staff while driving innovation in Commercial Pharma operations.