Top AWS Jobs in Toronto

Build scalable, high-performance consumer applications using computer vision and 3D experiences. Lead projects from concept through launch, own front-end systems, participate in architecture and design discussions, mentor engineers, improve development practices, support partners, and contribute to hiring and engineering culture.

Build scalable, high-performance front-end solutions for 3D interior-decor experiences using computer vision. Collaborate with product, design, stakeholders, and engineering teams to deliver customer-focused features. Own systems through development, deployment, operation, and continuous improvement while supporting partners and maintaining high quality. The role offers mentorship and growth in a remote-first environment.

Define, validate, and govern an implementation-ready end-to-end platform architecture for Venn. Lead data, services, APIs, cloud, security, and integration design; produce ADRs, component designs, prototypes, sequencing roadmaps, and transfer knowledge to in-house teams for multi-country, multi-tenant, low-connectivity contexts.

Lead enterprise IT infrastructure selection, deployment, monitoring, and lifecycle management across on-prem, cloud, and hybrid environments. Provide advanced technical support, governance, cybersecurity best practices, vendor management, asset lifecycle, identity/access management, disaster recovery, and IT policy compliance. Drive upgrades, migrations, preventative maintenance, and security awareness programs while supporting distributed and production cluster environments.

Design, implement, and operate internal and edge networking infrastructure at global scale across multi-cloud regions. Build services, tools, and automation to expose network functionality, improve routing, failover, and scaling. Lead cross-team initiatives including code and design reviews, ensure operational robustness and security hygiene, and participate in on-call rotation.

Lead architecture and deliver enterprise features for Auth0 Organizations. Drive technical improvements, orchestrate cross-team projects, mentor engineers, collaborate with PM/design, and build scalable, secure backend and full-stack services with strong observability.

As a Senior Software Engineer, you will design, implement, and maintain backend systems that integrate identity and authorization capabilities into AI workflows, ensuring security and reliability at scale.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Design, develop, and maintain large-scale Java-based microservices and APIs. Mentor junior engineers, lead small projects, perform advanced debugging/refactoring, ensure API security and quality, and collaborate with product and analytics.

Build backend infrastructure and APIs to integrate Lyft with emerging AI ecosystems and devices. Design scalable distributed systems, mentor engineers, drive high-impact projects, write and review maintainable code, participate in on-call rotation, and collaborate cross-functionally to deliver production-grade AI-enabled features.

Maintain and improve reliability, scalability, and automation for user-facing production systems. Build infrastructure tooling, operate Kubernetes-based services, write IaC, participate in on-call and incident response, and advance observability and runbooks to reduce toil and improve platform reliability.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

Own security for cloud and ML infrastructure, including tenant isolation, GPU cluster security, model protection, vulnerability management, network segmentation, monitoring, access governance, and credential management. Lead infrastructure security projects and establish technical standards and guardrails in partnership with Security, DevOps, Engineering, IT, and ML teams. The role also supports incident response, CSPM, sandboxing, container isolation, and SOC 2 readiness.

Build and evolve Wealthsimple’s vulnerability management platform, including scanner integrations, automated triage, ticket routing, ownership resolution, SLA tracking, remediation workflows, dashboards, and reporting. Integrate AWS, CI/CD, Kubernetes, container, and security tooling while improving attack-surface risk assessment. Help develop AI-assisted workflows that validate findings, generate fixes, and create pull requests. Partner with developers, support compliance controls, and connect vulnerability management with threat intelligence and responsible disclosure programs.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Lead the technical vision and scaling of Jane’s AWS infrastructure. Design highly available, multi-region systems, operate databases at scale, improve platform reliability, reduce alert noise, strengthen security and compliance, and guide other engineering teams on cloud architecture. Drive ambiguous, cross-team infrastructure initiatives, build consensus, participate in on-call rotations, and help the team use AI tools responsibly.

Build highly available, scalable distributed systems and real-time data services supporting Internet-wide scanning, DNS resolution, certificate ingestion, security research, and customer applications. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, frameworks, and cloud or on-premises services; productionizing prototypes; and collaborating with engineering, product, machine learning, and security teams. The role emphasizes maintainable, testable code, reliability, monitoring, and long-term platform development.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, DNS resolution, certificate ingestion, data pipelines, messaging, databases, caching, and APIs. Productionize prototypes, develop reusable tooling and platform capabilities, maintain cloud and on-premise systems, and collaborate with engineering, product, machine learning, and security teams.

Own go-to-market for Upbound’s AI inference portfolio, including positioning, messaging, competitive strategy, launches, enterprise buyer research, sales enablement, pricing input, and open-source-to-commercial narratives. The role requires customer-facing thought leadership through analyst briefings, executive preparation, public speaking, podcasts, and community engagement. Success requires deep B2B infrastructure product marketing experience, technical fluency, open-core experience, and the ability to launch emerging products rapidly.

Secure Temporal’s multi-cloud platform across AWS, GCP, and Azure by embedding security into infrastructure and application architecture. Responsibilities include threat modeling, risk assessment, Kubernetes hardening, multi-tenant isolation, gRPC and mTLS security, service mesh configuration, cloud security posture management with Wiz, secrets management, encryption, compliance policy development, engineering partnership, and on-call participation. The role also contributes to responsible AI practices and security for distributed workflow systems.

Lead pre-sales technical strategy for strategic mid-enterprise accounts. Conduct discovery, shape requirements, run competitive proofs of concept, develop integrations, deliver demos and architecture reviews, and communicate business value to senior stakeholders. Advise customers on AI governance, container security, DevSecOps, software supply chain integrity, and secure development workflows. Build technical champion relationships, support competitive sales strategies, advocate for customer needs internally, and partner with sales, product, engineering, post-sales, and support teams.

Leads and mentors a software engineering team while remaining hands-on with Java and full-stack development. Guides architecture, code reviews, technical decisions, sprint planning, delivery, and stakeholder collaboration. Champions engineering practices including automated testing, CI/CD, monitoring, microservices, and continuous releases. Builds scalable production systems, reliable REST APIs, and high-performance database solutions using ReactJS, Java, PostgreSQL, Docker, AWS, and related cloud technologies.

Lead the full software development lifecycle for internal and customer-facing observability systems. Design, build, deploy, support, and optimize scalable distributed systems and high-throughput data pipelines. Own reliability, performance, testing, documentation, and production readiness; participate in on-call support. Mentor engineers, lead design reviews, investigate incidents, and collaborate with stakeholders to develop effective tooling across the Temporal ecosystem.

Design, build, deploy, and support scalable distributed observability systems for internal developers and customers. Lead the software development lifecycle, develop and review designs, ensure testing and production readiness, investigate reliability and performance issues, participate in on-call support, and collaborate across teams to improve Temporal’s infrastructure and platform capabilities.