Top AWS Jobs in Toronto

Lead and deliver scalable backend integrations, architect web APIs and backend systems, mentor engineers, conduct code and spec reviews, identify performance bottlenecks, collaborate with stakeholders, work with large datasets, and support hiring through technical interviews.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Lead full‑stack development of an AI‑driven web application, designing architecture and end‑to‑end AI/ML systems. Build features across front end and back end, ensure security, scalability, and observability, prototype ML innovations, mentor engineers, and partner with product, design, and business teams to drive technical decisions and delivery.

Own, harden, and operate bare-metal virtualization, HA storage, Linux pools, networking, monitoring, and incident response. Automate configuration and deployments, run audits, manage user environments, and act as primary on-call responder to ensure continuous uptime and security.

The Senior Back-End Developer builds and maintains server-side operations for cloud solutions, collaborating with teams to deliver software, support users, and document features.

The Senior Software Engineer will architect and build scalable cloud infrastructure, collaborate with teams, and improve system security and performance.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

Design, build, and deploy ML models across diverse use cases; work with managed cloud ML platforms and containerized solutions; collaborate with engineers on production integration and MLOps best practices; preprocess and analyze large datasets; mentor teammates and influence technical direction; translate complex ML concepts for technical and non-technical stakeholders.

The Software Engineer will design and build systems for sharded PostgreSQL, collaborate with a team to solve distributed systems challenges, and directly engage with customers to create technical solutions.

Lead end-to-end client ML engagements: scope problems, design, build, and deploy production ML solutions across cloud and containerized stacks. Lead and mentor small teams, manage client relationships, evaluate emerging tools, and ensure models are production-ready and explainable to technical and non-technical stakeholders.

As a Backend/AI Systems Engineer, you will develop backend systems for AI workflows and enhance core functionalities for Spellbook's legal software. You'll tackle complex problems, ensure system reliability, and collaborate with product teams, while maintaining a hands-on ownership approach.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

Provide remote technical support, troubleshoot issues, design security solutions, manage cloud and virtualization environments, and communicate with clients. Requires strong IT skills and customer service.

Lead backend development: design, build, and maintain .NET backend services and RESTful APIs, own backend architecture and API strategy, improve performance and reliability, drive code quality and CI/CD, mentor engineers, collaborate with frontend/product/devops, and share ownership of production health and incident response.

Senior individual contributor role at an early-stage, distributed startup. Partner with the VP Engineering to solve hard engineering problems, build product features, and ship at scale using TypeScript, Postgres, and AWS. Must be hands-on, product-oriented, and experienced operating systems at scale.

Design, build, and operate scalable backend services in Python or Go to power underwriting decisioning. Integrate statistical and ML models, implement APIs (REST, gRPC/GraphQL), ensure observability and testing, lead projects, and collaborate with product, data science, and underwriting teams to automate underwriting workflows.

Own and operate infrastructure-as-code across cloud, on-prem, and bare-metal; build CI/CD pipelines; containerize and orchestrate services; maintain observability and reliability; participate in on-call and incident response; enable engineering teams with self-service tooling and secure deployment practices.

Design, build, and operate backend services and APIs that deliver real-time GNSS/RTK corrections at low latency and high availability. Own ingestion, processing, distribution, observability, and testing of distributed systems while collaborating with cross-functional teams and responding to customer needs. Focus on scalability, reliability, performance, and production readiness for a large device fleet.

Drive redesign of the new-customer experience by building features across Python services, a GraphQL gateway, Auth0-based auth, and Terraform-managed GCP infrastructure. Collaborate cross-functionally, ensure reliable, well-tested deployments, and independently drive projects to completion.

Design and deliver full-stack features for AI voice and chat products at enterprise scale. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Active enterprise sales role for a defined Quebec territory: prospect and acquire net-new logos, grow existing accounts, build and manage pipeline, engage InfoSec stakeholders, develop value-based proposals, collaborate with sales engineers and channel partners, maintain forecasts, and use AI tools to improve sales productivity.

Build reusable, scalable platform services and core components (entities, relationship systems), maintain search infrastructure and relevance, lead DevOps and IaC (AWS/Terraform), improve developer experience for the Go backend, and mentor/consult across engineering teams to drive platform-wide architectural standards.

The Senior Cloud Engineer designs, builds, and operates secure cloud solutions on AWS, focusing on architecture, automation, security, and developer enablement.