Top AWS Jobs in Toronto

As a Full Stack Engineer, you will develop frontend and backend features, write robust code, and collaborate with team members to meet project requirements.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Own and ship end-to-end full-stack features for a high-scale, AI-native publishing marketplace. Design APIs, optimize queries, deploy cloud-native apps, build LLM-powered capabilities, ensure security and privacy compliance, mentor engineers, influence architecture, and maintain reliability and performance under load.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

Lead and manage AI teams to design, train, deploy, and operate production-grade ML and generative AI systems for security detection and response. Define AI roadmap, partner with product and platform teams, uphold secure MLOps practices, mentor staff, recruit talent, and deliver scalable, observable AI integrated into production cloud environments.

Lead architecture and delivery of scalable SaaS and hardware-integrated security systems. Drive firmware/OS integration, edge processing optimization, AWS-based data ingestion and BI, enforce code quality and security (SOC 2), mentor engineers, and incorporate AI into products.

Lead application infrastructure modernization including cloud migrations, container platform administration (OpenShift/Kubernetes/Docker), CI/CD and IaC automation, and development of AI-driven automation. Provide systems analysis, design, implementation, and user support while advising stakeholders and ensuring security and compliance.

The role involves designing, developing, and maintaining scalable backend services using Java and modern technologies, focusing on microservices architecture, TDD, and collaboration with teams.

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

Lead technical pre-sales strategy and advanced product demonstrations for enterprise cybersecurity and cloud customers. Mentor SEs, design solution architectures, shape POCs and product feedback, drive process improvements, and support executive-level customer engagements to close strategic deals.

The AWS Solutions Architect will lead the design and implementation of AWS solutions, guide customer consultations, and manage migration and modernization projects while mentoring team members and evaluating cloud readiness.

As a Site Reliability Engineer at Air Apps, you'll enhance system reliability through automation, monitoring, and performance optimization, collaborating with development teams to build resilient cloud solutions.

As a Release Engineer, you will manage release pipelines, ensure smooth software deployment, automate processes, and collaborate with engineering teams to enhance release efficiency and reliability.

As a Software Architect at Air Apps, you'll define system architecture for an AI platform, guiding engineering teams in best practices and ensuring high performance and security.

As a Software Architect at Air Apps, you'll define system architecture, guide technical teams, and evaluate new technologies for software solutions.

Responsible for designing and operating data architecture, building ETL/ELT pipelines, implementing data quality frameworks, and collaborating on ML initiatives.

The Full Stack Engineer will develop both frontend and backend solutions to empower business users in data analysis without technical skills, utilizing various technologies including NextJS and Python.

Seeking a Full-Stack Engineer with 3+ years of experience to develop and enhance data collaboration tools using LLMs, focusing on frontend and backend development.

The role requires leadership in Java backend development, focusing on microservices architecture, performance optimization, and cloud deployment while collaborating with cross-functional teams.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

Lead strategy and research for Generative AI and Graph ML, drive end-to-end ML system design and production deployments, mentor scientists, align ML innovation with product goals, and represent the company externally.