Top AWS Jobs in Toronto

Lead reliability engineering for Braze’s NGINX ingress fleets, Kubernetes infrastructure, Ruby on Rails monolith, and Go API services. Design scalable, highly available systems; develop automated scaling routines; define SLIs, SLOs, and error budgets; conduct capacity planning; and participate in PagerDuty on-call rotations. Drive incident response, root-cause analysis, blameless retrospectives, runbook improvements, and resilient architecture decisions with product engineering teams.

Provides first-level managed security services support for network security clients in a 24/7 operations environment. Monitors and resolves security requests, escalates complex issues, communicates incident updates, tracks SLA breaches and service trends, and maintains knowledge-base documentation. The role requires firewall administration experience with Palo Alto and Check Point, familiarity with AWS, Azure, and GCP, participation in firewall projects, ongoing training, and willingness to work weekends, holidays, overtime, and rotating coverage.

Leads a team of Technical Program Managers executing complex, multi-year technology initiatives, including cloud architecture updates, application convergence, integrations, and enterprise data migrations. Aligns Product, Engineering, Design, Data Science, and Risk stakeholders, resolves delivery bottlenecks, influences senior leaders, and establishes governance, metrics, release controls, and Agile operating practices. Coaches TPMs and improves delivery execution across a matrixed organization.

Build and operate production AI applications and shared platform capabilities using AWS Bedrock and Python. Develop AI agents, MCP servers, APIs, distributed services, retrieval architectures, orchestration frameworks, and evaluation systems. Partner with technical and business stakeholders to identify AI opportunities, modernize existing applications, and integrate AI into enterprise workflows. Influence architecture and engineering standards while supporting delivery planning and mentoring less experienced engineers.

Design, build, test, launch, and operate full-stack services automating responses to legal, regulatory, and civil requests. Develop backend systems, internal web tools, and integrations across microservice and event-driven architectures. Collaborate with Counsel, Compliance, and Operations while handling sensitive customer data. Participate in on-call, incident response, code reviews, modernization efforts, and responsible use of AI-powered development tools.

Build and operate backend systems supporting post-transaction card account accuracy, issue resolution, and customer communications. Break down projects, deliver work in phases, collaborate with product and cross-functional teams, monitor system metrics, support availability and on-call operations, and contribute to code reviews and interviews. The role requires backend development experience, distributed systems knowledge, and proficiency in Python or Kotlin, AWS, MySQL, and Kubernetes.

The Engineering Manager leads Data Engineering teams, developing scalable data solutions and collaborating with stakeholders to drive McCain's digital transformation.

Develop server-side poker game features and gameplay functionality in Go for high-performance, large-scale applications. Build and integrate REST and gRPC APIs, SDKs, tools, and technologies; extend core systems; contribute to architecture, security, scalability, testing, and operations. Collaborate with engineers and cross-functional stakeholders, participate in long-term initiatives, review code, improve processes, and deliver solutions for live mobile game titles.

Leads multi-cloud platform architecture across Azure, AWS, GCP, and Alibaba Cloud. Designs secure, scalable cloud-native platforms, internal developer platforms, distributed systems, microservices, APIs, containers, and serverless solutions. Drives legacy modernization, PaaS adoption, Infrastructure as Code, DevOps, observability, governance, and cost optimization. Partners with business, engineering, and security leaders, mentors engineers, governs architecture standards, and contributes to AI-enabled platforms using generative AI and Azure AI services.

Senior technical leader designing multi-cloud (Azure, AWS) and hybrid architectures, modernizing legacy environments, driving IaC and automation (Terraform, Bicep/ARM, Ansible), integrating enterprise platforms (ServiceNow, New Relic), ensuring security, observability, resilience, cost optimization, and guiding implementation through delivery and operations.

Lead cloud security direction across AWS, GCP, and self-managed Kubernetes. Define standards, reference architectures, IAM controls, threat-modeling practices, detections, incident-response playbooks, vulnerability-management workflows, and secure infrastructure-as-code and CI/CD practices. Serve as a senior incident responder and cloud-forensics lead, secure distributed systems and data stores, drive cross-functional initiatives, and mentor security and platform engineers as a senior individual contributor.

The Software Engineer will design, develop, and maintain backend services and APIs, focusing on scalability and performance while collaborating with cross-functional teams.

Own end-to-end Dynatrace observability architecture across on-premises, cloud, and hybrid environments. Design and implement scalable APM, infrastructure, digital experience, log, and cloud monitoring solutions. Lead integrations with cloud platforms, Kubernetes, CI/CD pipelines, and ITSM tools while driving automation, SRE, and DevSecOps practices. Manage platform standards, security, roadmap evolution, vendor relationships, documentation, operating models, and knowledge transfer.

Lead the architecture and implementation of scalable distributed systems powering AI features for millions of users. Build production infrastructure, data pipelines, and model-serving interfaces using Python, SQL, Spark or Dask, AWS, and Kubernetes. Partner with applied scientists to productionize ML and LLM features, own operational reliability and technical debt, respond to incidents, and mentor engineers while improving engineering practices across the AI Products team.

Supports Wealthsimple’s IT and security risk management program by identifying, assessing, documenting, and tracking technology and third-party risks. Maintains the enterprise risk register, evaluates control effectiveness, supports PCI DSS, SOC 2, and NIST initiatives, develops risk reporting, monitors emerging threats, and partners with technical and business stakeholders on remediation and risk treatment.

Own product features end to end, from discovery and technical design through deployment and iteration. Build across frontend applications, APIs, backend services, and integrations while contributing expertise in either frontend or backend engineering. Partner with Product, Design, QA, and Engineering to make scalable technical decisions, improve testing and delivery practices, and support production software. Mentor engineers through reviews, pairing, technical discussions, and knowledge sharing.

Design, deploy, automate, modernize, and support enterprise cloud database platforms across AWS, Azure, hybrid, and on-premises environments. Responsibilities include database migrations, CI/CD and infrastructure-as-code automation, monitoring, performance tuning, backup and disaster recovery, security and compliance, incident resolution, and collaboration with application, cloud, infrastructure, and cybersecurity teams. The role includes 24x7 on-call or shift support.

Architects and deploys AI agents, intelligent workflows, and enterprise integrations across business functions. Partners with stakeholders to identify AI opportunities, build ROI-focused business cases, and implement scalable solutions. Develops reusable frameworks, monitors workflow performance, leads training and enablement, builds an AI community of practice, and evangelizes agentic AI best practices. Requires extensive integration, automation, cloud, API, enterprise SaaS, LLM, RAG, and agent-framework experience.

Define enterprise architecture strategies and transformation roadmaps across AI, data, cloud, and digital technologies. Design scalable AI/GenAI, data, and cloud architectures; establish standards and governance; advise C-suite stakeholders; lead modernization and transformation programs; support consulting proposals and account growth; and mentor architects and technical teams.

Designs and operates cloud infrastructure for large-scale ML training and production model serving. Responsibilities include distributed PyTorch training, GPU/TPU clusters, data pipelines for video and sensor data, infrastructure-as-code, CI/CD, observability, security, reliability, and developer tooling. The role partners across research and engineering, supports live customer-facing workloads, and mentors growing infrastructure teams.

Leads the design and development of cloud-native platforms supporting generative AI agents. Responsibilities include building backend services, developer enablement tools, CI/CD pipelines, Kubernetes and multi-cloud infrastructure, platform security, observability, DORA metrics, and production engineering practices. The role requires mentoring, architectural leadership, cross-functional collaboration, and expertise in cloud-native systems, networking, infrastructure as code, and systems programming.

Lead the design, scalability, reliability, and optimization of continuous integration systems across multiple services and platforms. Improve build times, testing, reporting, deployment workflows, monitoring, and incident response. Drive CI/CD strategy and developer productivity initiatives, mentor CI engineers, collaborate across engineering, and align infrastructure with company goals. The role also requires expertise in modern build systems, cloud-native environments, infrastructure as code, and large monorepos.

Serves as the primary information security liaison for a business unit, translating security policies into risk-based controls and advising on technology, cloud, SaaS, and Generative AI risks. The role leads security assessments, compliance monitoring, risk-register management, exception remediation, control testing, application and asset inventory management, governance reporting, and security program implementation. Collaboration spans Business, Technology, Risk, Privacy, Audit, and Security stakeholders.

Leads Sun Life’s independent second-line technology resilience and recovery risk oversight capability. Establishes governance, standards, review processes, and challenge practices across disaster recovery, backup, cyber recovery, infrastructure, applications, and cloud environments. Oversees recoverability evidence, testing, RTO/RPO alignment, risk acceptance, remediation, regulatory readiness, and Board reporting. Builds and manages a specialized resilience team while partnering with operational resilience, business continuity, cyber, technology, audit, and business risk stakeholders.

Two-year early talent program developing data engineering professionals. Participants build and maintain scalable data pipelines, integrate and transform data, contribute to data models, implement quality controls, and support enterprise data platforms. The role involves SQL and Python development, cloud and distributed data technologies, testing, documentation, governance, production deployment, troubleshooting, and collaboration with engineers, analysts, and business partners.