Top AWS Jobs in Toronto

Lead 24/7 incident response for commercial and regulated environments, monitoring security systems, correlating events, investigating threats, and coordinating incidents through closure. Perform digital forensics, threat hunting, malware analysis, vulnerability analysis, and post-incident reporting. Develop response playbooks and security standards, support audits and investigations, maintain secure configurations, integrate security solutions, and communicate complex incidents to executives and customers. Participate in after-hours and weekend on-call rotations.

Develop and maintain audit-ready technical documentation supporting OSFI remediation findings, cloud hardening, security controls, infrastructure standards, and regulatory readiness. Collaborate with Cloud Engineering, Security, Risk, and Compliance teams to translate complex technical information into clear procedures, control documentation, remediation evidence, and operational standards. Coordinate stakeholders, identify documentation gaps, maintain version control, and align deliverables with governance and remediation timelines.

Drive sales strategy within MongoDB’s strategic accounts by identifying, qualifying, and closing new workloads; expanding product adoption through upsells and cross-sells; cultivating executive relationships; collaborating with Customer Success, Professional Services, Marketing, and Product; and exceeding quarterly sales quotas.

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.

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.

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.

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.

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 the design and implementation of cloud-based IoT and full-stack applications for connected manufacturing. Makes architecture decisions, mentors developers, improves software quality through testing and observability, collaborates with technical and business stakeholders, and troubleshoots complex production issues across application, infrastructure, data, and integration layers.

Leads and mentors a backend engineering team while remaining hands-on with software development. Responsibilities include prioritizing and executing projects, defining technical strategy and roadmaps, coordinating cross-functional teams, guiding technical decisions, improving user workflows, and hiring, developing, and retaining engineers.

Own large-scale backend projects from discovery through launch, improve system performance, reliability, and scalability, and expand fault-tolerant processing infrastructure. Lead engineering excellence through mentorship and knowledge sharing, enhance testing, monitoring, and continuous deployment, and protect sensitive data. Collaborate with product managers, designers, and cross-functional teams to solve customer challenges.

Leads data engineering for cyber analytics by designing pipelines, ETL processes, storage, graph databases, and data models. Partners with data scientists and technology teams to integrate ML and AI solutions, manage production deployments, and build cohesive analytical datasets. Oversees and develops a team of data engineers, manages priorities, and collaborates with technical and business stakeholders.

Design, develop, modernize, and maintain enterprise applications and secure RESTful APIs using C#, .NET, ASP.NET Core, and SQL Server. Collaborate across the application stack with React, Angular, or similar frameworks; improve legacy systems, performance, reliability, and security. Participate in technical design, code reviews, automated testing, CI/CD, Docker deployments, troubleshooting, and Agile delivery. Contribute to AI-assisted engineering practices, documentation, mentoring, and continuous improvement.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Develop, test, support, and troubleshoot production software for a scalable TLD Registry Platform. Build web applications, services, background services, and class libraries using object-oriented programming, SQL, NoSQL, and AWS cloud technologies. Participate in the full software development lifecycle, provide on-call support, identify root causes, improve system performance and maintainability, and collaborate with experienced engineers across a global organization.