Top AWS Jobs in Toronto

The Senior Product Manager will manage data quality features for the Compass Platform, collaborating with teams to enhance data integrity and deliver product features. Responsibilities include designing specifications, managing backlogs, and ensuring product releases align with customer needs.

Design, build, automate, and support secure, scalable AWS infrastructure using Terraform and EKS. Develop reusable modules, machine images with Packer, CI/CD pipelines, monitoring, tooling (Python/Go/Bash), troubleshoot issues, participate in on-call, and produce documentation and runbooks.

Lead the Activation engineering team to plan and deliver customer onboarding and first-transaction experiences. Own delivery, team operations, technical strategy, cross-functional collaboration with Product and Design, hiring and people development, and foster a growth-oriented engineering culture focused on shipping high-quality, customer-centric solutions.

The Data Scientist role involves developing and deploying machine learning models for fraud detection, transforming datasets into insights, and collaborating across teams. Responsibilities include building data pipelines and ensuring model performance.

Lead end-to-end development and production ownership of AI-driven backend capabilities and LLM/voice agent workflows. Improve reliability, observability, security, and operational maturity while iterating quickly from customer feedback and scaling team delivery.

Build and maintain cloud-native microservices using Java/Spring, containers, and CI/CD. Use AI-assisted coding and LLM tools to embed GenAI, design APIs, write tests, and collaborate in agile teams to deliver secure, scalable SaaS solutions.

Build and maintain cloud-native microservices (Java/Spring) using AI-assisted development tools. Design REST/gRPC APIs, ensure code quality with testing and observability, use Docker/Kubernetes and CI/CD, collaborate in agile teams, and help embed GenAI into products for secure, scalable SaaS deployments.

Design, operate, and automate reliable infrastructure for large-scale AI training and inference. Own networking, compute, storage, GPU/server configuration, and operational tooling. Build monitoring, alerting, runbooks, incident response, capacity planning, provisioning automation, and collaborate with ML and platform teams to improve performance and reliability.

Build and maintain cloud-native microservices for Guidewire's P&C insurance platform using Java/Spring and AI-assisted development tools. Collaborate in agile teams, design APIs, ensure code quality with tests and CI/CD, and integrate AI patterns to improve product reliability and scalability.

Lead architecture and hands-on development of enterprise-scale backend services in Java. Define scalable microservices and REST APIs, implement identity and access management (OAuth2/OpenID Connect), optimize performance, integrate content providers, mentor senior engineers, and lead incident resolution and root-cause analysis for critical production systems.

Provide technical and operational application support across the full lifecycle, acting as liaison between users, developers, and vendors. Diagnose and resolve incidents, participate in releases and post-release validation, analyze risks/security gaps, drive support process improvements, maintain documentation, and support disaster recovery and weekend/shift rotations to ensure application stability and service effectiveness.

Lead a ~10-engineer team owning the Content Tools platform: design, implement, test, deploy, and operate API-first tooling and governance. Establish contribution standards, CI/CD evaluation pipelines, IR evaluation frameworks, observability, and SLOs. Coordinate cross-team integration with agentic AI workflows and ensure reliability, discoverability, and licensing controls for multi-tenant content access.

Lead design, build, and operate scalable Generative AI systems (LLM apps, RAG pipelines, multi-agent systems) in production using Databricks and cloud infrastructure. Own CI/CD, monitoring, evaluation frameworks, optimize retrieval/generation, mentor engineers, and influence product roadmap.

The Mission Engineer bridges communications physics and software orchestration, integrating and optimizing system models and software for wireless networks, diagnosing issues in live environments.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

Lead design and delivery of scalable backend features, mentor engineers, ensure operational excellence and system reliability, collaborate cross-functionally, and drive architecture and automation improvements.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.

Serve as technical lead for presales on multi-domain deals: run discovery and design workshops, architect cybersecurity and networking solutions, produce diagrams, BOMs and SOWs, build outcome-based business cases, and support sales from discovery through proposal.

Own channel motion for Canada: generate partner-sourced pipeline, build territory and partner plans, onboard and enable partners, manage deal execution and registrations, ensure pipeline hygiene and reporting, and coordinate cross-functionally to accelerate partner-influenced bookings.

Lead development of a Canadian private cloud proposition and manage the Managed Services Solutioning team. Oversee solution architecture and commercial support for complex consult+managed services pursuits across cloud, applications, data, and infrastructure. Drive repeatable offerings, pricing, go-to-market, solution governance, delivery readiness, and team capability while partnering with sales, delivery, and partners to win and transition large strategic deals.

Lead the Apps & Experiences Storage team technical strategy and execution: design and implement large-scale, high-throughput storage systems, provide technical oversight, mentor engineers, hire, define roadmaps, ensure availability/maintainability, and collaborate across product and engineering.

Lead the development and architecture of voice biometric systems and conversational AI agents, ensuring secure and sophisticated interactions.

Lead design and execution of scalable test architecture and automation across backend and frontend. Build and maintain CI pipelines, end-to-end API, integration, and UI tests, improve test stability and performance, validate microservices, async workflows, and persistence, mentor engineers, and influence release readiness and quality practices.