Top AWS Jobs in Toronto

Own and improve infrastructure security across corporate, cloud, network, endpoint, and operational environments. Responsibilities include vulnerability and configuration management, SIEM and security monitoring, EDR/XDR, incident response, cloud security, infrastructure hardening, security automation, and support for Government of Canada regulated environments. The role coordinates with IT, Engineering, Operations, and external security providers to reduce risk, remediate vulnerabilities, improve detection, and maintain compliance evidence.

Build, maintain, and enhance enterprise observability across cloud and hybrid environments using Dynatrace and AWS CloudWatch. Configure monitoring agents, dashboards, alerts, application performance monitoring, logs, metrics, and traces. Support observability for microservices, containers, serverless workloads, and distributed systems. Perform incident triage, troubleshooting, reporting, instrumentation, and alert tuning while collaborating with Cloud Engineering, DevOps, SRE, and application teams. Automate monitoring deployments through scripting and infrastructure-as-code.

Coordinate IAM and PAM account governance initiatives across Linux, Windows, AWS, Azure, and Oracle environments. Review account scans, determine ownership and usage, coordinate inactive-account cleanup, assess human and non-human accounts, and define mitigating controls. Analyze CMDB and IAM inventory gaps, review SSO, MFA, RBAC, and ServiceNow controls, coordinate remediation with application owners, track progress, and support risk exception processes across cross-functional teams.

Designs and leads scalable AWS and Databricks data pipelines, data models, quality frameworks, monitoring, testing, and production deployments. Investigates ambiguous data and business problems independently, translating requirements into secure, reliable technical solutions. Mentors engineers, establishes architecture and coding standards, and partners with architecture, analytics, product, and business teams. Supports AI readiness, data unification, metadata strategy, and enterprise integration initiatives.

Leads an autonomous team of 8–10 engineers developing payment acceptance and value-added services such as network tokens, account updater, 3DS, and account validation. Oversees AI-augmented software delivery, architecture, hiring, coaching, roadmap collaboration, reliability, security, incident response, testing, observability, and compliance. Partners cross-functionally to deliver scalable, secure, enterprise-grade financial products and participates in on-call rotations.

Lead backend architecture and development across the full SDLC for Capital One's travel platform. Own technical design, build fault-tolerant systems, improve developer experience, establish engineering best practices, and mentor junior engineers while collaborating with cross-functional stakeholders.

Develop enterprise-wide full-stack software solutions using SQL and object-oriented programming, preferably C# and .NET. Translate business requirements into technical designs, implement and support applications, monitor performance, debug code, and follow technology and security standards. The role requires collaboration with architects and business analysts, software development lifecycle expertise, cloud or DevOps experience, and the ability to obtain a Government of Canada Reliability Clearance.

Lead DevOps architecture and technical strategy across engineering teams. Design and optimize enterprise CI/CD pipelines, highly available AWS and Azure cloud environments, Kubernetes and Docker platforms, and Infrastructure-as-Code solutions using Terraform and CloudFormation. Improve automation, observability, reliability, security, disaster recovery, and operational excellence while mentoring engineers and partnering with Engineering, Product, Security, and Operations teams across a global SaaS ecosystem.

Leads technical pre-sales activities, including customer discovery, multi-domain solution architecture, proposals, SOWs, RFP responses, estimates, pricing, and ROI/TCO discussions. The role integrates cloud, infrastructure, networking, cybersecurity, applications, data, and service management solutions; presents to technical and executive audiences; supports sales pursuits and post-sale handoffs; identifies expansion opportunities; contributes to thought leadership; and mentors internal teams.

Lead the Product Analytics Team and establish an analytics roadmap supporting loyalty-program growth, engagement, retention, and profitability. Analyze customer behavior, design experiments and A/B tests, develop tracking frameworks, and deliver executive-ready insights. Influence product strategy, investment decisions, and business priorities while partnering with Product, Marketing, Finance, and executive stakeholders. Coach analytics staff and promote data-driven decision-making across the organization.

Lead enterprise machine learning and AI initiatives from requirements through production. Design scalable AWS cloud solutions, develop Python applications and ML services, deploy and optimize models, and implement MLOps practices including CI/CD, monitoring, automation, and governance. Partner with business, architecture, engineering, data, security, and infrastructure teams to define roadmaps, manage technical risks, resolve production issues, and ensure secure, compliant, high-performing delivery.

Own security for Spade's production edge: manage PKI and mutual-TLS certificate lifecycle, design private network connectivity and webhook delivery security, drive vulnerability remediation, codify secure-build standards, and collaborate across engineering and product to improve overall security posture.

Build and maintain internal security tooling, automation, and cloud-native services to improve secure software delivery, secrets and identity management, vulnerability detection, and runtime protection. Partner with Platform, Infrastructure, and Product teams to integrate security into CI/CD, Kubernetes, and AI-enabled workflows and support incident response and remediation.

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

Design, build, and scale real-time and batch data infrastructure and pipelines (Kafka, Databricks, Snowflake) to power analytics, reporting, and AI-powered data experiences. Drive data modeling, governance, observability, and best practices while partnering with cross-functional teams and mentoring engineers.

The Senior Security Engineer will secure cloud infrastructure across various services, develop security policies, manage exceptions, and respond to security alerts while collaborating with teams to eliminate security risks.

Lead the engineering team for a search platform at Thomson Reuters, focusing on building, operating, and evolving the infrastructure while managing a team of software engineers and aligning efforts with business priorities.

Own strategy, vision, roadmaps, and execution for technically complex data, cloud, and AI products. Lead discovery through launch, define requirements and success metrics, make prioritization and build-versus-buy decisions, and partner with engineering, architecture, data, and AI/ML teams. Serve as the senior product contact for Fortune 500 clients, lead distributed delivery teams, manage dependencies and stakeholders, and mentor junior product professionals.

Build and maintain client-facing software within a monolith and microservices architecture. Responsibilities include scaling systems, meeting regional regulatory requirements, launching validated features, developing high-performance REST APIs, tuning database queries, supporting automated testing and continuous releases, participating in on-call support, mentoring junior developers, and collaborating directly with clients when needed.

Leads and mentors a software engineering team while remaining hands-on with Java and full-stack development. Guides architecture, code reviews, sprint planning, technical strategy, CI/CD, testing, monitoring, and service ownership. Collaborates with Product, Design, and stakeholders to deliver scalable client-facing applications and reliable REST APIs. The role also manages technical risks, performance tuning, continuous improvement, hiring, and team development within a microservices environment using ReactJS, AWS, PostgreSQL, Docker, and Terraform.

Build and maintain client-facing software components within a monolith and microservices architecture. Responsibilities include scaling systems for global demand, meeting regional regulatory requirements, and launching validated features. The role requires Java development, REST API delivery, database performance tuning, Snowflake, AWS, automated testing, code reviews, service ownership, continuous releases, on-call support, client interaction, and mentoring junior developers.

Lead enterprise-wide agentic AI architecture, standards, reusable platform components, evaluation frameworks, and production implementations across SaaS products. Build secure, observable AI systems using Azure, Anthropic, Python, Java, RAG pipelines, model routing, and orchestration. Identify high-value use cases, optimize cost and performance, establish responsible AI governance, mentor engineers, and guide cross-functional teams from prototypes to measurable business outcomes.

Lead customer implementations of Smile Digital Health solutions by configuring the platform, scripting, troubleshooting, designing technical solutions, and providing architectural guidance. Collaborate with development, product, architecture, support, and customer-facing teams to deliver scalable, secure solutions. Manage concurrent projects, support technical analysts, contribute to RFPs, participate in on-call support, and track billable work in NetSuite.

Lead architecture and hands-on development for a zero-to-one, real-time content platform. Build scalable backend services, collaborative editing and synchronization systems, frontend visual editing experiences, APIs, publishing workflows, and developer extension layers. Partner with product and design, establish engineering standards, make build-versus-buy decisions, mentor engineers, and engage customers to validate architectural choices.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.