Top AWS Jobs in Toronto

The Network Engineer will design cloud network architectures, lead transformation initiatives, ensure scalability and security, and integrate observability across multi-cloud environments.

The Solutions Architect will design and deliver cloud-based solutions for insurance clients, collaborating with them to meet requirements and ensuring implementation aligns with expectations.

The Senior Full-Stack Developer will work closely with the co-founders to develop telehealth features, focusing on user-friendly software that's reliable and robust. They'll participate in code testing, deployment, and feature design within a collaborative office environment.

Lead and mentor a software development team focusing on cloud data platform components. Drive business initiatives, enhance engineering practices, and ensure project delivery. Collaborate across teams to provide real-time data-centric experiences.

As a Production Support Analyst, you will monitor systems, troubleshoot issues, manage support tickets, assist users, and collaborate with teams on incident resolution and operational improvements.

Lead engineering efforts, guide architectural decisions, mentor engineers, drive innovation, and optimize software engineering processes in the Finance & Reinsurance domain.

As an Infrastructure & Automation Specialist, you will design and support cloud infrastructure, DevOps strategies, and operational tooling while collaborating with clients and team members.

As a Senior Full Stack Developer, you'll develop web applications, collaborate on software delivery, participate in code reviews, and research new technologies.

As a Lead Software Engineer, you will enable agile product development, technical leadership, and mentor the team while delivering innovative software solutions.

Design, build, and ship front-end web apps and back-end services; write tests and monitor platform performance; collaborate with product and support; follow SDLC and security best practices; perform code reviews and documentation.

The Software Developer on the Provisioning team will design and implement infrastructure-as-code platforms, build abstractions using Terraform and programming languages like Go and Python, and collaborate with various teams to enhance AWS services and Kubernetes.

The Data and AI Engineer will develop data pipelines, oversee backend applications, ensure data governance, and collaborate on data-driven solutions for analytics and AI initiatives.

Design and deliver software solutions, ensuring system scalability and reliability, while collaborating with various stakeholders to enhance data analysis and research workflows.

The Software Engineer is responsible for designing and delivering software solutions, ensuring system scalability, and contributing to technical vision and best practices.

The Software Engineer will design and deliver software solutions for research workflows, ensure system scalability, and collaborate with cross-functional teams.

The Lead Software Engineer, AI will drive AI innovation, lead model development, provide technical leadership, and ensure production quality in AI systems.

Lead the design of enterprise-grade cloud infrastructure for a large-scale data platform on AWS. Oversee architectural standards, compliance, and high-volume data systems. Provide strategic and hands-on leadership to ensure resilient and scalable systems that support data ingestion and analytics workloads.

Lead the design and modernization of patient-facing backend services, drive API best practices, and ensure secure, scalable systems handling sensitive data while mentoring other engineers.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

Manage large-scale data analytics engagements, collaborate with technology teams, and present solutions to stakeholders to drive business value.

The Manager, BI Consulting will lead BI initiatives, engage stakeholders, analyze requirements, design data solutions, and manage client relationships.

The Director, Technical Integration leads enterprise-level application integrations, oversees API technology deployments, and manages strategic partnerships to enhance client solutions and operational efficiencies.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

The analyst will support application governance, automate processes, ensure compliance, and develop solutions in a hybrid role focusing on application management and automation engineering.

The Principal Software Engineer will lead high-impact projects, optimize card issuing and payment processing systems, and mentor technical leads. Responsibilities include collaborating on requirements and driving engineering excellence across the core platform.