Top AWS Jobs in Toronto

Owns and prioritizes the Universal Gateway backlog for DICOM and HL7 healthcare integration across a cloud medical imaging platform. Responsibilities include writing requirements, acceptance criteria, and non-functional requirements; partnering with engineering, SRE, hosting, customers, and business teams; managing agile delivery; validating reliability, scalability, interoperability, and security; and tracking release metrics and risks.

Build polished, responsive front-end applications for Chiri Brain and client-specific AI solutions. Design user flows, prototypes, interfaces, reusable components, and design systems while integrating APIs, authentication, business data, agent workflows, and security controls. Work directly with customers and stakeholders to understand needs, rapidly prototype, gather feedback, and ship production-quality software. Help establish scalable front-end architecture and use AI-assisted development tools to accelerate delivery.

Own the data science strategy, analytical roadmap, and experimentation for ranking and relevance. Partner with engineering, product, commercial, and offer teams to improve advertiser outcomes, user value, retention, and marketplace economics. Design rigorous experiments and observational analyses, quantify incremental business impact, establish KPI frameworks and trade-off guardrails, influence launch and investment decisions, mentor colleagues, and build reusable analytical methods using large-scale data systems.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

Owns CSL Plasma’s target-state business architecture, capability models, value streams, architecture decisions, integration standards, and technology roadmaps. Translates business strategy and regulatory requirements into architecture blueprints across digital products, while governing AI, automation, data, and integration patterns. Partners with product, engineering, enterprise architecture, security, privacy, and compliance teams to drive committed designs, architectural consistency, and migration sequencing across a complex regulated environment.

Leads engineering standards, architecture governance, platform strategy, technical quality, security and compliance engineering, and production AI governance across CSL Plasma’s digital products. Manages cross-domain technical teams, sets cloud and integration direction, owns shared engineering platforms and data architecture, and ensures reliable, scalable, regulated software delivery. The role also drives AI-assisted development, production AI operations, engineering metrics, talent development, and alignment with enterprise architecture and cybersecurity.

Lead QA strategy and automation across Knotch’s products, building scalable testing frameworks, API validation, CI/CD integrations, coverage metrics, and AI feature evaluation. Manage offshore QA staff, hire a US-based team, perform manual and performance testing, investigate root causes, and collaborate with engineering and product teams to improve quality and release confidence.

Leads a globally distributed Java engineering organization responsible for enterprise software design, development, modernization, quality, and delivery. Manages engineering leaders and teams, drives technical strategy, process improvement, Agile and CMMI-aligned execution, and coordinates customer commitments with long-term platform modernization. The role requires strong enterprise Java architecture expertise, executive communication, organizational leadership, and experience managing complex delivery priorities, technical debt, quality standards, and engineering performance.

Leads end-to-end technology delivery and transformation across the Wealth Management value chain. Advises CIO, CTO, and COO stakeholders on modernization, architecture, operating models, build-versus-buy decisions, roadmaps, budgets, and vendor governance. Shapes cloud, microservices, event-driven, API-led, data, and DevOps strategies while improving operational efficiency, performance, and advisor and client experiences. Requires extensive Wealth and Asset Management consulting leadership, technical fluency, platform integration experience, and regulatory awareness.

Lead cloud security architecture across AWS and GCP, strengthening identity, access management, workload protection, encryption, secrets management, and secure deployment paths. Build Terraform and policy-as-code guardrails, improve cloud threat visibility and detection, support threat hunting and incident response, and drive strategic security initiatives across engineering teams. Provide technical leadership, mentorship, and guidance while delivering measurable security improvements at scale.

Lead security incident investigations, serve as Incident Commander, and improve response capabilities through automation and AI agents. Build Python orchestration pipelines, detections, threat signatures, and security guardrails. Investigate modern and AI-driven attacks across cloud, endpoints, identity, SaaS, and containers; perform malware analysis; collaborate with Legal, HR, Cloud, Data, and Product Security; and participate in on-call rotations.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

Designs, administers, secures, and continuously improves enterprise cloud, networking, identity, Microsoft 365, and telephony platforms. Manages AWS, Azure, Microsoft 365, enterprise networks, hybrid-cloud connectivity, unified communications, IAM, security, compliance, disaster recovery, and business continuity. Automates infrastructure provisioning and operations with Terraform, PowerShell, Python, Bash, and CI/CD pipelines. Supports monitoring, troubleshooting, optimization, vendor management, and infrastructure strategy across complex business-critical environments.

Design, develop, refactor, and migrate legacy ASP.NET and backend applications using Python and C#. Build microservices, containerize with Docker/Kubernetes (EKS), deploy to AWS, ensure application security, and optimize SQL database performance while collaborating with cross-functional teams.

Provide technical support for Airbyte’s cloud and embedded integration platform. Troubleshoot APIs, connectors, data pipelines, SaaS integrations, authentication, and SDK configurations; reproduce bugs and collaborate with Engineering and Product on fixes. Support onboarding, document solutions, improve knowledge processes, and partner with Sales and Customer Success. The role requires strong API expertise, cloud and data integration knowledge, customer communication skills, and experience using AI tools to improve troubleshooting or automation.

Administers Windows and Unix/Linux systems in a 24/7/365 environment, ensuring availability, security, performance, and service restoration. Develops automation with Python and Ansible, manages GitHub and CI/CD processes, and supports AWS and Azure infrastructure. Participates in cloud migration, infrastructure-as-code initiatives, deployments, incident management, regulatory inspections, and troubleshooting across on-premises, hybrid, and cloud environments.

Design and develop highly available, fault-tolerant distributed edge computing platforms using Go, Kubernetes, microservices, and cloud technologies. Build scalable APIs, troubleshoot complex systems, conduct code reviews, optimize performance and security, collaborate cross-functionally, mentor engineers, contribute to planning, and maintain technical documentation.

Own partner marketing programs that generate enterprise, public-sector, and life sciences pipeline. Build joint campaigns with partners such as AWS, Deloitte, and Carahsoft; plan field events; execute account-based marketing; engage sales teams; and measure partner-sourced and influenced revenue. Lead marketing initiatives for regulated industries, using intent data, buying signals, targeted account lists, compliance-focused messaging, and AI-enabled tools to optimize campaign performance.

Manage and optimize multi-cloud infrastructure across Azure and AWS, including containerized services, databases, gateways, monitoring, and serverless systems. Build CI/CD pipelines and infrastructure-as-code automation using Terraform and CDK. Improve platform performance, scalability, observability, security, compliance, and cost efficiency. Collaborate with Development and QA on automated testing and deployments, respond to incidents, and advance AI-enabled operational practices such as AIOps and agentic SDLC workflows.

Design, build, deploy, and optimize scalable AI and machine learning systems using large datasets. Develop predictive models, recommendation systems, personalization engines, forecasting solutions, generative AI applications, and production ML pipelines. Collaborate with data, backend, and product teams to integrate models into applications, while monitoring performance, data quality, drift, reliability, and cost. Establish best practices for evaluation, experimentation, reproducibility, and deployment, and research emerging AI technologies.

Build and scale full-stack web products for patients, pharmacies, and healthcare customers. Own features from design through release, develop APIs, user interfaces, and web services, improve performance and usability, solve complex technical problems, promote testing and development best practices, and mentor junior engineers and interns. Collaborate with engineering, product, and design teams to deliver reliable, high-quality software.

Build and maintain scalable backend platforms, APIs, and services for NimbleRx’s patient and pharmacy products. Own backend features from design through release, solve complex technical problems, improve performance and reliability, and promote high-quality development practices. Collaborate with engineering, product, and design teams while mentoring junior engineers and interns. Lead complex projects through planning, implementation, delivery, and maintenance with minimal guidance.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Build and operate platform security services for Auth0 using Python, Node.js, or Golang. Develop security automation, secure Kubernetes and containerized workloads, implement runtime security and network controls, remediate dependency vulnerabilities, and maintain high-quality production code. The role also involves technical design, code reviews, CI/CD architecture, cloud-native security, and collaboration with engineering teams on vulnerability remediation.

Manage and scale secure logging infrastructure, including OpenSearch clusters, ingestion pipelines, parsing, normalization, access controls, maintenance, and troubleshooting. Automate operational tasks, implement infrastructure as code, support SIEM development, and help design the next-generation logging platform. The role requires AWS, Linux, scripting, infrastructure automation, and security operations experience, with opportunities to work across teams on high-volume, tamper-resistant security data systems.