Top AWS Jobs in Toronto

Lead BuildOps’ unified Data and AI engineering function, owning data platform architecture, pipelines, onboarding, governance, reliability, and ML infrastructure. Build and scale a high-performing data engineering organization, establish production-grade monitoring and incident practices, and deliver trusted data products for B2B SaaS customers. Define long-term data strategy, guide architectural decisions, and partner across technical and business teams while remaining hands-on with implementation and operational responsibility.

Designs, builds, deploys, and operates production software and AI systems on AWS or GCP. Responsibilities include developing backend services and APIs, building RAG and inference platforms, managing Kubernetes and Terraform infrastructure, implementing CI/CD and observability, responding to incidents, and optimizing cloud and GPU costs. The role owns systems throughout their lifecycle while establishing reliability, governance, security, and cost controls for scalable AI capabilities.

Leads full-stack software engineering across the development lifecycle, owning technical design, architecture, and development of fault-tolerant applications. Establishes engineering standards, improves developer tooling and frameworks, provides technical support, and mentors junior and intermediate engineers. The role uses modern cloud, API, microservices, database, and frontend technologies in a hybrid environment.

Leads ServiceNow ITOM implementation, CMDB and CSDM strategy, Discovery, Service Mapping, integrations, automation, and data governance. Establishes CI standards, manages MID servers and infrastructure integrations, improves CMDB health, and advances self-healing IT operations. Identifies opportunities for GenAI and Agentic Workflows in alert analysis, remediation, and anomaly detection while aligning technical infrastructure teams and business stakeholders.

Build and launch full-stack customer-facing features and backend services for Affirm Card. Collaborate with product, design, analytics, and engineering teams; design scalable APIs, support distributed systems, monitor service reliability, participate in on-call operations, review code, and contribute to technical planning and team development.

Own and evolve Babylist’s AWS infrastructure, Kubernetes platform, Terraform IaC, CI/CD systems, observability, and developer tooling. Build secure infrastructure defaults, automate operational workflows, improve reliability and recovery readiness, define SLOs, support incident response, and lead cross-team platform initiatives. The role also mentors engineers and provides hands-on support across local, staging, and production environments.

Lead global network security engineering initiatives centered on Zero Trust Architecture, ZTNA, SASE, identity-based microsegmentation, and Palo Alto Networks security platforms. Automate network deployments with Python, Ansible, Terraform, and source-of-truth tooling. Design secure AWS and GCP networks, manage enterprise infrastructure, monitoring, and vendor relationships, provide technical leadership, and participate in rotating on-call support.

Build and operate scalable AI platform infrastructure, including LLM and MCP gateways, agent runtimes, evaluation services, routing, quotas, observability, and security controls. Own projects from design through launch and on-call, establish technical standards, collaborate with security and infrastructure teams, and mentor engineers. Develop highly available distributed backend systems supporting AI workloads across Affirm’s financial products and engineering organization.

Architect and operate Affirm’s large-scale Amazon EKS platform, including cluster lifecycle, node management, autoscaling, workload safety standards, infrastructure as code, GitOps delivery, observability, cost and capacity optimization, and self-healing automation. The role leads technical direction, partners cross-functionally, mentors engineers, and participates in on-call incident response.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines, log-sampling systems, and observability standards while balancing reliability, performance, and cost. Drive cross-functional initiatives, mentor six engineers, establish engineering and operational standards, support availability and on-call practices, and promote quality through code reviews, documentation, and technical talks.

Own and respond to customer-facing and internal security incidents, cases, findings, and inquiries. Triage investigations, coordinate escalations, communicate security risks, improve documentation and processes, deliver security training, and develop AI solutions for automation. The role collaborates with Legal and global teams, participates in on-call rotations, and requires eligibility for Canada Reliability Status clearance.

Develop and deploy scalable, responsible AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Partner with engineering, research, product, and program teams to deliver AI-powered products. Apply advanced optimization techniques to improve performance, scalability, latency, throughput, hardware utilization, and cost, while shaping the long-term roadmap for foundational AI platforms.

Design, develop, test, deploy, and support scalable AI systems and software components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Partner with engineering, research, program management, and product teams to deliver AI-powered products. Develop optimization techniques to improve performance, scalability, latency, throughput, hardware utilization, and cost while contributing to the long-term technical roadmap for foundational AI systems.

Leads technical design and full-stack development of fault-tolerant, cross-functional applications for a travel portal. Owns architecture, establishes engineering standards, improves developer tools and practices, provides technical support, and mentors junior and intermediate engineers. Requires extensive experience across front-end and back-end development, application or data architecture, software lifecycle leadership, and stakeholder guidance.

Design and implement data engineering, governance, Collibra, metadata management, and data lineage solutions for financial services clients. Establish data quality standards, governance controls, ownership workflows, and regulatory data practices. Integrate and optimize data pipelines and governance tools while collaborating with architects, business stakeholders, and technology teams. The role requires strong SQL, ETL/ELT, data governance, and Collibra expertise, with optional cloud, DevOps, Agile, and financial services experience.

Design and deliver enterprise data architecture solutions for financial services clients using Informatica IDMC and Collibra. Lead data integration, metadata management, data quality, governance, and lineage initiatives; establish architecture standards and controls; guide technical delivery teams; and translate client requirements into scalable solutions. Build stakeholder relationships, support consulting engagements, and ensure compliant, sustainable data environments.

Design, develop, and optimize enterprise data pipelines and ETL/ELT integrations using Informatica IDMC. Build transformation workflows, integrate multiple data sources into cloud and enterprise environments, troubleshoot performance and data quality issues, and implement testing and monitoring. Collaborate with architects, analysts, engineers, and business stakeholders to deliver scalable data solutions, primarily for financial services clients.

Lead Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Own safeguards such as isolation, approval workflows, rollback mechanisms, observability, and auditability. Partner with infrastructure, security, product, and engineering teams to identify systemic weaknesses, improve reliability, establish incident response practices, and promote resilience validation across the software development lifecycle.

Build and operate enterprise identity and access management systems at Affirm. Responsibilities include IAM lifecycle operations, access troubleshooting, automation, backend services, APIs, integrations, monitoring, and production support. The role focuses on SailPoint, Auth0, workforce identity events, secure infrastructure, and collaboration with Security, IT, and Engineering. Candidates should have software engineering experience, backend development skills, cloud familiarity, and knowledge of IAM technologies.

Leads Affirm’s third-party security risk management program, including international market due diligence, M&A security assessments, post-acquisition vendor integration, control evaluations, threat modeling, and remediation tracking. Designs automated workflows and integrations across GRC, ticketing, cloud, and identity systems using Python and agentic coding tools. Establishes processes, metrics, dashboards, and reporting while advising Legal, Procurement, Engineering, Finance, Compliance, Privacy, and leadership on security risks and decisions.

The Distinguished Engineer defines technical vision, architects scalable cloud solutions, ensures design and implementation quality, and advises engineering teams on performance, operability, and other non-functional requirements. The role provides technical thought leadership across the organization, mentors engineers, communicates expertise through documentation and code samples, supports multiple initiatives, and contributes hands-on to advanced software development and architecture.

Own and scale production infrastructure across AWS, Kubernetes, Terraform, streaming and data systems. Build platform services and automation in Java, Go or Python; operate observability, incident response, security, disaster recovery and CI/CD. Design reliable low-latency distributed systems, optimize cloud costs, support compliance controls, and mentor engineers while setting infrastructure standards.

Operate and improve production infrastructure for a real-time fraud detection platform. Responsibilities include managing Kubernetes and AWS resources, writing Terraform, building CI/CD automation, developing Python, Go, Java, or Bash tools, monitoring with Prometheus and Grafana, supporting distributed data systems, and participating in on-call operations.

Manages strategic customer relationships, drives adoption and consumption of Microsoft and cloud solutions, measures business outcomes, supports renewals and upsells, and coordinates sales, services, channel partners, and technical teams. Develops customer success plans, presents cloud capabilities, escalates issues, gathers customer insights, and contributes to proposals, bills of materials, statements of work, and sales pipeline activities.

Leads internal IT operations, security, and compliance. Owns SaaS administration, access controls, device security, onboarding and offboarding, vendor and budget management, and technical support. Executes and improves the SOC 2 Type II program, coordinates audits, manages security awareness and risk assessments, supports HIPAA and PHIPA compliance, and answers customer security requests. Manages and coaches a small IT team while developing the IT roadmap and reporting security, compliance, and operational risks to leadership.