Top AWS Jobs in Toronto

As a Software Engineering Consultant, you will design, build and own the lifecycle of scalable software systems while collaborating with clients in various technical domains.

Support Docebo's security and compliance program by maintaining policies and control frameworks, assisting with risk assessments and audit support (ISO 27001, SOC 2, PCI DSS), evaluating vendor risks, maintaining compliance documentation and reports, and responding to customer security/privacy inquiries to support sales and internal stakeholders.

Lead product strategy and roadmap for an AEC Insights & Personalization platform. Define platform capabilities, integrate LLMs/ML, partner with engineering and data science, run customer discovery, set success metrics, and drive data-driven experimentation to deliver personalized, proactive experiences across Autodesk AEC products.

Lead and grow an SRE team to ensure platform reliability and scalability. Own incident response, on-call execution, post-mortems, and SRE processes (incident, change, capacity, problem management). Partner with Product and Engineering to embed reliability, track operational KPIs, and optimize workflows to reduce risk.

Design and build scalable ETL data pipelines and RESTful APIs/microservices. Improve performance, monitor and troubleshoot data flows, ensure data security/compliance, write tests, and collaborate cross-functionally.

Lead design and implementation of high-performance, fault-tolerant Java backend services and APIs for a large federated digital platform. Own backend architecture, security (SSO, OAuth2/OpenID Connect), cloud-native development (GCP/AWS, Docker, Kubernetes), data access, and integration patterns. Mentor senior engineers, drive production incident resolution, and collaborate with product, front-end, infrastructure, and security teams to deliver scalable, secure, resilient solutions at enterprise scale.

Lead global strategy, development, and deployment of AI-ready data governance products and platforms. Own product lifecycle, standards, metadata, lineage, and data quality; ensure regulatory compliance, drive cross-functional adoption, and build high-performing teams to enable trusted enterprise data for business and R&D use.

Lead and grow the engineering team, own delivery and architecture, and drive NLP and AI initiatives. Manage NLP pipelines, cloud and tooling decisions, technical debt, budgets, and cross-functional enterprise integrations while enabling AI adoption and predictable production delivery.

Design, deploy, and tune L2/L3 enterprise and data-center networks; maintain high-capacity links and routing protocols; automate tasks with Python/Ansible/Terraform; respond to P1/P2 incidents on a 24×7 on-call rotation; collaborate with InfoSec to harden configs and maintain runbooks and diagrams.

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

Design, develop, test, and maintain scalable Java-based services using Spring Boot and relational databases. Collaborate with product and teams, write clean TDD-driven code, build RESTful APIs, automate tasks and testing, monitor performance, review code, and support production systems.

The SDET will design and maintain automated testing frameworks, collaborate with teams to define testing strategies, write automated tests, and mentor junior team members.

The Senior AWS Support Engineer will manage complex AWS cases, mentor junior engineers, troubleshoot issues, improve support processes, and create documentation.

Lead evaluation, selection, implementation, and lifecycle management of enterprise applications with a focus on AI-driven automation and AIOps. Design and deploy LLM-based workflows, AI agents, observability and predictive monitoring, perform health checks and upgrades, troubleshoot cross-team incidents, define technical roadmaps, and mentor IT Applications team members while creating SOPs and documentation.

The AI/ML Engineer will develop and optimize machine learning models, focusing on conversational systems, multi-agent solutions, and scalability, while collaborating across teams to enhance user experiences.

Design, build, and deploy complex distributed microservices and cloud-based systems. Implement RESTful APIs, third-party integrations using SDKs, and manage package release cycles (CI/CD). Work with AWS/GCP, NoSQL (MongoDB/Elasticsearch) and SQL databases while providing technical leadership and strong cross-team communication.

The Lead Data Scientist will design and implement data-driven solutions, lead a team of data scientists, and collaborate across functions, while managing machine learning pipelines and mentoring junior staff.

You will develop high-performance quantum software components, build benchmarking tools, and lead best practices in software development processes.

The Senior Backend Engineer will architect technology and enhance customer experiences, mentor junior engineers, and deliver scalable backend solutions.

As a Senior Full-Stack Engineer, you’ll architect technology and customer experiences for web products, mentor junior staff, and develop scalable platforms and APIs while collaborating with cross-functional teams.

Lead cross-functional teams to build and operate AI-powered HR and finance agents integrated into the Workday platform. Own design, development, production operations, mentor engineers, and implement scalable, observable SaaS solutions using modern full-stack and cloud technologies.

Quota-carrying enterprise sales role focused on selling Data & AI services and Database Managed Services. Build territory plans, maintain forecasted pipeline in Salesforce, lead discovery and solution conversations for Production AI and cloud data platforms, co-sell with hyperscaler and OEM partners, and manage complex deal execution across internal teams to close high-value, recurring-revenue engagements.

As a Staff Backend Engineer, you'll design and evolve backend services, architect data models, mentor engineers, and influence architecture and product direction to enhance enterprise-grade performance.

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.