Top AWS Jobs in Toronto

Leads Gore Mutual’s data science function, managing teams that develop, deploy, validate, and govern predictive, generative AI, LLM, and agentic solutions. Sets the analytics and AI strategy, oversees production ML infrastructure and model monitoring, ensures regulatory, ethical, privacy, and risk compliance, and identifies opportunities to improve underwriting, fraud detection, pricing, operations, and business growth. Partners with executives and cross-functional teams to translate analytical findings into strategic outcomes while fostering innovation, experimentation, and advanced data science capabilities.

Own the architecture and technical direction of Euna Solutions’ shared platform layer, including cloud infrastructure, identity, integrations, shared services, and enterprise systems. Govern technical standards, define AWS and Azure architecture patterns, align security and compliance requirements, prioritize high-impact technical work, advise AI initiatives, and participate in architecture reviews. The role requires strong influence, communication, and hands-on experience with cloud architecture, infrastructure as code, identity protocols, and enterprise-scale technology governance.

Own the architecture and technical direction of the shared platform layer across cloud infrastructure, identity, integrations, shared services, and enterprise systems. Establish technical standards, cloud architecture patterns, IAM strategy, resilience, and compliance alignment. Identify and prioritize architectural risks, advise AI initiatives, and participate in architecture governance. The role requires influencing senior technical and executive stakeholders across teams, with hands-on experience in AWS, Azure, infrastructure as code, and enterprise identity architecture.

Develop and optimize high-performance React Native weather applications used by millions. Own features end to end, including clean coding, testing, CI/CD deployment to the App Store and Google Play, performance optimization, refactoring, and collaboration across AWS, Go, Node.js, Docker, Kubernetes, and microservices environments.

Build and deploy AI-native tools across internal functions including Operations, Finance, HR, and Legal. The role embeds with business teams to identify high-impact opportunities, prototype and scale LLM, retrieval, and agentic solutions, evaluate build-versus-buy decisions, define ROI, and drive adoption. Responsibilities include production engineering practices, data modeling, automation, AWS application development, stakeholder translation, team training, and measuring post-launch impact.

Lead platform strategy and delivery, drive cloud modernization (AWS) and AI adoption, ensure platform performance, security, and scalability, manage cross-functional stakeholder relationships and vendors, oversee solution architecture and API/microservices design, and lead and develop a team while managing project financials and delivery across multiple workstreams.

Leads enterprise AI and data architecture strategy, defining target architectures, standards, governance, roadmaps, and infrastructure requirements. Designs end-to-end AI solutions spanning data pipelines, model training, deployment, and monitoring. Advises business and technology stakeholders, evaluates emerging technologies, ensures regulatory and architectural compliance, manages risks, presents recommendations to leadership, and mentors technical teams. Requires extensive experience in AI/ML architecture, data engineering, cloud platforms, MLOps, and enterprise technology strategy.

Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.

Develop and maintain cloud-based IoT applications for manufacturing. Design secure, scalable full-stack solutions, APIs, data integrations and pipelines. Collaborate with architects, product owners, developers, and stakeholders; follow DevOps and agile practices; mentor team members and troubleshoot production issues.

Test and validate AI models and software for automotive use cases: generate ground truth, build annotated datasets and testing frameworks, evaluate technologies, support R&D engineers, coordinate projects and outsourced work, and collaborate with internal and external partners to drive innovation and product readiness.

Design, build, and manage Canadian sovereign and global cloud infrastructure using code. Automate provisioning (Terraform, Crossplane), develop services in Go/Python, onboard services, operate Kubernetes, use Puppet/Ansible, and collaborate with SRE, networking, and system administration to ensure secure, scalable environments.

Senior backend engineer on the cloud Platform auth team building high-scale authentication and authorization services. Lead design and implementation of distributed systems, APIs, storage, and performance optimizations; mentor engineers; apply engineering best practices and AI to improve decision-making and scalability.

The Senior Developer Experience Engineer will own CI/CD infrastructure and internal tools, improve developer productivity, and foster team collaboration through effective tooling and automation.

Develop and maintain Java back-end systems, REST APIs, low-latency transactional services, and full-stack features using React, JavaScript, and GraphQL. Collaborate within agile teams, query application data with SQL, contribute to roadmap decisions, and apply continuous integration, automation testing, cloud, microservices, and container technologies.

Leads the architecture, development, reliability, governance, and scalability of batch and real-time data platforms. Designs pipelines, self-service tooling, observability frameworks, and disaster recovery practices; mentors data engineers; establishes engineering standards; and partners cross-functionally to enable trusted data access for analytics, data science, and product teams. The role also contributes to strategic roadmaps, platform innovation, technical debt reduction, and on-call support.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Collects, validates, and prepares cybersecurity risk data; builds and automates operational and executive dashboards; maps metrics to risk frameworks; maintains reporting schedules and documentation; and communicates insights to technical teams and leadership. The role requires stakeholder interviewing, data visualization, dashboard maintenance, cybersecurity knowledge, and familiarity with NIST, ISO, or COBIT frameworks.

Analyze and manage data across platforms, define business and data-quality requirements, develop data-quality frameworks and rules, investigate exceptions, coordinate data flows with engineers, and support client escalations. The role also involves monitoring master reference data, reporting on data-quality performance, and developing AI and machine-learning solutions to identify production data anomalies.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

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.

Support cloud infrastructure for machine learning training and deployment. Responsibilities include provisioning compute, orchestrating training jobs, improving MLOps workflows, assisting with model deployment and testing, investigating reliability, latency, and cost issues, collaborating with engineering teams, and documenting infrastructure tooling.

ML Engineering Intern supporting real-time markerless motion capture systems. Responsibilities include deploying and monitoring pose estimation models in cloud infrastructure, curating training data, running model experiments, diagnosing failures, and improving evaluation and deployment tooling. The role requires 3D computer vision knowledge, Python, and deep learning familiarity, with opportunities to work on containers, orchestration, model optimization, and robotics middleware.

Design, develop, test, deploy, and support scalable full-stack web applications and platform capabilities using Python, Django, TypeScript, and React. Build APIs, integrations, AI-enabled features, and reusable application components across AWS and Azure. Own software from design through production support, contributing to CI/CD, observability, security, modernization, and reliability. Collaborate with Product, Architecture, Data & AI, Security, and Platform Reliability teams while mentoring engineers and maintaining high-quality production systems.

Own the technical direction and roadmap for Robinhood’s Developer Infrastructure organization. Lead Bazel-based monorepo and remote build infrastructure, large-scale CI/CD, test environments, developer platforms, and tooling across multiple languages. Drive AI and agentic systems throughout the software development lifecycle, establish technical standards, and unify four engineering teams around a long-term vision. Mentor senior engineers and influence company-wide engineering strategy.

Own complex customer issues through investigation, root cause analysis, and fix validation while developing scalable full-stack SaaS applications. Collaborate with customers, support, product, and engineering teams to improve product stability and roadmap priorities. Provide technical guidance, mentor others, troubleshoot production systems, optimize performance, research technologies, and participate in on-call support.