Top AWS Jobs in Toronto

The Data Engineering Manager will lead a team to design technical solutions, support career growth, and improve business insights using data engineering practices.

Lead and mentor an SRE team (10+), define SRE strategy, drive operational excellence, reliability, automation, DevOps practices, cloud architecture, observability, risk mitigation, and continuous improvement across cloud-based systems.

The Senior Software Reliability Developer ensures the reliability and scalability of Autodesk APIs, operating cloud-native services, improving CI/CD processes, and troubleshooting production issues.

Define and enforce ML quality strategy and acceptance criteria across data, model, and system levels. Design evaluation suites, metrics, and test datasets; automate ML QA using Python and CI/CD; build test harnesses and quality gates for training and deployment; evaluate CAD RL outputs; mentor teams, participate in code reviews, and document findings.

The Senior Software Developer will design and build scalable APIs and distributed systems, improve operational efficiency, and mentor other engineers, focusing on automation and data infrastructure.

Design, build, and optimize product-facing data models and large-scale ELT/ETL pipelines in BigQuery and Apache Pinot. Integrate disparate sources, validate data at terabyte scale, ensure pipeline reliability and performance, implement data governance and CI/CD, and collaborate with product and engineering teams while mentoring junior members.

Design, build, and optimize product-facing data models and large-scale ELT/ETL pipelines in BigQuery. Integrate disparate sources, ensure data validation and CI/CD, optimize query performance at multi-terabyte scale, and collaborate with product and engineering teams while mentoring juniors.

Lead the Continuous Integration (CI) and Build Infrastructure team, optimizing development pipelines, systems design, and team collaboration for software quality and reliability.

The role involves designing, developing, and maintaining backend systems, collaborating with teams, and ensuring high availability and performance.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The Security Operations Manager leads security incident response, oversees operations processes, manages a remote team, and collaborates across departments to enhance security measures.

The Data Solutions Analyst Intern develops data pipelines, machine learning models, and analytics workflows, focusing on code quality, analytical rigor, and deployment support.

As a Senior Software Engineer on the AI Platform, you will lead infrastructure initiatives and develop scalable systems for AI features, collaborating with cross-functional teams.

As a Senior Technical Consultant, lead software developers design and deliver enterprise applications, guiding junior team members and collaborating with clients to solve business challenges using various technologies.

Lead software engineer responsible for designing, developing, and delivering enterprise-level applications while mentoring junior team members and solving complex problems.

As an Associate AI Developer, you'll prototype AI applications, integrate AI tooling, collaborate with teams, and promote AI best practices.

Lead application systems analysis and programming, integrating multiple functions, resolving complex problems, and advising mid-level developers while ensuring compliance with regulations.

Lead the design and deployment of AI multi-agent systems on cloud platforms, integrate AI models, and collaborate with a global team.

The Principal Software Engineer will integrate AI frameworks with cloud infrastructure to enhance performance and reliability, develop prototypes, and collaborate closely with the product team to meet constraints and requirements.

Lead machine learning projects focused on credit risk, develop predictive scorecards, collaborate with teams, and present findings to management.

The Manager, Technical Implementation will lead a team to configure and optimize ODAIA's AI platform for customers, ensuring seamless onboarding and integration while collaborating on technical requirements and managing data workflows.

Lead the design, development, testing, and implementation of new features for scalable software solutions, focusing on AI and distributed systems.

Lead the architecture, scalability, performance, and developer experience of the web platform. Drive technical strategy, collaborate across teams, and mentor engineers to ensure high-quality web solutions.

The AI Developer will integrate generative AI into R&D methodologies, develop tools for research tasks, and collaborate with scientists and engineers.

Design, build, and maintain complex distributed systems, develop backend applications using Python, and architect cloud infrastructure to enhance transportation safety and efficiency.