Top AWS Jobs in Toronto

Build and operate DevOps infrastructure for regulated digital-asset exchange, clearinghouse, and brokerage systems. Responsibilities include improving CI/CD pipelines, managing AWS infrastructure with Terraform, running containerized services on Nomad, developing deployment tooling with health checks and rollback, monitoring systems, responding to production alerts, supporting settlement operations, and contributing to Haskell-based services. The role requires on-call participation, distributed-systems expertise, and collaboration across engineering, operations, risk, and compliance.

Provides advanced technical support to enterprise customers using Chainguard Images. Responsibilities include triaging and resolving complex issues, investigating bugs, coordinating escalations with Engineering, managing customer communication and SLAs, documenting solutions, creating knowledge-base content, submitting product feedback, and participating in an after-hours on-call rotation. The role requires expertise in Linux, containers, Kubernetes, DevOps tooling, cloud platforms, and strong written and verbal communication.

Leads integration of building automation, IoT, HVAC, lighting, and energy systems with AWS, Azure, and Google Cloud platforms. Conducts building inspections, network discovery, system audits, cloud onboarding, data-flow configuration, cybersecurity controls, testing, troubleshooting, analytics, and technical reporting. Collaborates with IT, security, facilities, and clients while mentoring engineers and improving delivery processes.

Designs and governs secure, scalable architectures across cloud, hybrid, and on-premises environments. Leads modernization from .NET Framework to modern .NET and ASP.NET Core, defines security and data architectures, develops technical standards, and guides solution delivery. The role translates business requirements into architecture designs, manages trade-offs, oversees implementation, improves CI/CD and observability, supports performance tuning, and mentors engineers while collaborating with executives, project managers, vendors, and client-facing teams.

Leads executive client engagements and large analytics, data, AI, and digital transformation programs, primarily for manufacturing and automotive organizations. Responsibilities include strategy development, solution design, consulting, proposal leadership, account growth, commercial management, delivery oversight, governance, team mentorship, and capability building. The role connects business priorities with data platforms, AI solutions, operational improvements, and measurable financial outcomes.

Own the full sales cycle across ASEAN, from prospecting through enterprise close. Conduct technical discovery, connect customer needs to business outcomes, and collaborate with Sales Engineering, Product, AWS, and regional partners on demos and proofs of concept. Manage territory strategy, pipeline, forecasting, account planning, procurement, security, and data residency discussions. Sell to founders, CTOs, engineering leaders, and platform teams, then transition customers to Customer Success for onboarding and expansion.

Own ToolHound’s technical and product roadmap, architecture, code quality, security, data, performance, releases, and AI-native product development. Lead modernization of its mature .NET platform, ship production AI features safely in a multi-tenant environment, improve velocity and reliability, and mentor the engineering team. Partner with the GM, customers, operators, and business stakeholders to prioritize work, communicate clearly, and increase the platform’s enterprise value.

Designs, builds, and supports API and IVR integrations for enterprise contact centers. Responsibilities include gathering customer requirements, developing backend services and webhooks, transforming data, integrating CRM, billing, and payment systems, troubleshooting production issues, applying security practices, writing tests and documentation, and leading technical design discussions. The role also provides customer-facing implementation consulting and post-implementation escalation support.

Build and operate scalable full-stack software across Node.js backends, React frontends, APIs, webhooks, integrations, and orchestration capabilities. Own features from planning through deployment and monitoring, write comprehensive automated tests, refactor legacy systems, participate in code reviews and Scrum, troubleshoot production issues, and contribute to AI-assisted development workflows and tooling.

Own and improve Life360’s Ads Data Engineering platform on Databricks. Build, operate, and optimize batch and streaming pipelines, Delta Lake tables, dbt models, semantic layers, and core metrics. Integrate advertising and business data, implement quality and governance controls, manage AWS infrastructure with Terraform, reduce compute costs, and mentor engineers. Partner with analysts, ad strategists, and sales teams to deliver trusted data products while developing AI-assisted engineering tools and workflows.

Design and lead scalable, highly available distributed systems using Java, Spring Boot, microservices, AWS, and event-driven technologies. Remain hands-on with coding, system optimization, testing, observability, and production troubleshooting. Integrate AI capabilities such as LLMs, RAG, agentic workflows, and orchestration frameworks into enterprise applications. Provide technical leadership, mentor engineers, influence architecture across teams, and guide adoption of reliable, secure, and cost-effective engineering practices.

Build and maintain data migration pipelines for complex legal and corporate datasets. Lead client onboarding, write SQL and MongoDB migration scripts, validate large-scale records, investigate data anomalies, and improve migration tooling. Contribute to backend and full-stack product features, platform performance, AI-driven data integration, and ETL workflows while owning deliverables from problem identification through deployment.

Designs and builds secure, scalable systems protecting products, infrastructure, and customer data. Responsibilities include authentication and OAuth integrations, authorization platforms, BYOK capabilities, security tooling, cloud security controls, threat modeling, vulnerability remediation, and security testing. The role partners with engineering and product teams, establishes secure development practices, leads complex security projects, and mentors engineers.

Build infrastructure cost tooling, dashboards, reporting systems, attribution models, unit economics, forecasts, and KPIs. Analyze cloud and vendor spending, optimize infrastructure efficiency, support budgeting and capacity planning, and provide insights for pricing and business strategy. Partner with engineering, product, and finance teams while driving cost-conscious engineering practices, vendor optimization, and financial accountability.

Leads client engagements for digital investigations and full-cycle incident response. Manages technical strategy, recovery planning, project workstreams, budgets, SLAs, team utilization, quality, and client communications. Coaches global team members and directs security implementation activities, including enterprise infrastructure, email systems, cloud platforms, containment, data preservation, and forensic acquisition. Requires extensive incident response experience, cybersecurity expertise, industry certification, and fluent Canadian French.

Lead the design and development of Braze’s high-scale user segmentation and targeting systems. Build real-time data pipelines, APIs, and customer-facing dashboard capabilities; own system architecture, performance, reliability, and cost. Partner with product teams, mentor engineers, drive technical initiatives, and improve operational processes. The role requires extensive experience building customer-facing, data-intensive systems and influencing architecture at scale.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Lead enterprise application observability using Dynatrace across hybrid environments. Responsibilities include platform architecture and administration, application onboarding, alerting and incident integrations, observability-as-code, SLI/SLO definition, performance analysis, root-cause investigation, automation, governance, mentoring, and roadmap development. The role partners with application, infrastructure, cybersecurity, ITSM, and vendor teams to improve reliability, reduce alert noise and MTTR, and expand monitoring coverage.

Develop and deploy production-ready AI and machine learning models across analytics projects, using statistical modeling, NLP, forecasting, optimization, and advanced ML techniques. The role includes experimentation, data analysis, visualization, storytelling, lifecycle management, and collaboration with engineering and MLOps teams. Candidates will work with cloud and high-performance computing platforms to deliver AI data products in an agile environment.

Designs and owns secure, scalable AWS infrastructure for greenfield builds and migrations. Leads systems architecture, disaster recovery, networking, Infrastructure as Code, CI/CD, observability, security, and cost optimization. Develops automation in Python and Bash, supports services in Java or Node.js, evaluates AI-assisted engineering tools, leads client architecture workshops, manages incident response, and mentors engineers.

Design, prototype, and productize scalable machine learning solutions involving LLMs and real-world data. Build agentic systems, rapidly turn research prototypes into production services, and apply statistics and machine learning using Python tools. Collaborate with clients and engineering teams, analyze business and product outcomes, and deliver high-quality solutions in a fast-paced consulting environment.

Design and implement full-stack software, infrastructure, and shift-left tooling for compliant, multi-region deployments. Build application features with TypeScript and React Native, manage AWS GovCloud and regional environments using Terraform and Atmos, reduce architectural drift, and troubleshoot distributed systems. Lead complex cross-team initiatives, contribute to audit-ready documentation and standards, and mentor engineers through technical guidance, design discussions, and code reviews.

Own the SOTI MobiControl product lifecycle from strategy and roadmap through delivery, launch, and adoption. Define customer-focused outcomes, prioritize initiatives, write technical requirements, and collaborate with engineering, UX, sales, support, and marketing. Evaluate APIs, data, integrations, architecture, and security implications while tracking platform and competitor trends. Support customer engagements, demonstrations, executive briefings, and product enablement activities.

Design and build autonomous AI agents for pharmaceutical workflows, including orchestration, communication systems, external pharmacy integrations, evaluation, observability, and human-in-the-loop escalation. Scale real-time systems across pharmacy networks while making architectural decisions and contributing across backend, frontend, DevOps, and customer interactions.

Develop and deliver maintainable, testable, performant full-stack web applications using Java and Spring Boot. Collaborate on code reviews, testing, technology research, and software workflow improvements. Build consumer and enterprise applications with frontend frameworks, databases, APIs, security, optimization, and cloud technologies while communicating effectively within a development team.