Top AWS Jobs in Toronto

Leads Faire’s Analytics Platform team, managing eight engineers and setting technical strategy for data warehousing, ETL/ELT pipelines, foundational datasets, BI tooling, governance, reliability, and cost efficiency. The role requires hands-on technical leadership, production issue management, AI-powered analytics tooling, cross-functional partnership, vendor management, and talent development. The manager will build scalable, trustworthy data systems used across engineering, data science, finance, product, and analytics.

Lead the architecture and implementation of scalable, maintainable software components for an AI manufacturing platform. Develop automated testing strategies, benchmark system performance, identify bottlenecks, propose optimizations, and collaborate cross-functionally on feature integration. The role also involves debugging, cloud infrastructure, DevOps practices, containerization, and frontend framework collaboration.

Design, develop, test, deploy, and support scalable full-stack enterprise applications. Build React interfaces and Java, Spring Boot, Node.js, and Python back-end services, APIs, microservices, and database solutions. Contribute to cloud deployments, CI/CD automation, security, testing, troubleshooting, documentation, and technical solution design while collaborating with product, architecture, QA, DevOps, and business teams.

Développer et maintenir des fonctionnalités backend Java pour une plateforme d’imagerie médicale, de la conception à la production. Améliorer la performance, la fiabilité, la sécurité et la testabilité, contribuer aux tests automatisés et aux pipelines CI/CD, résoudre les incidents et vulnérabilités, et respecter un SDLC réglementé. Utiliser et encadrer l’intégration d’outils d’IA agentique, collaborer sur l’architecture et agir comme mentor technique auprès des développeurs.

Develop backend capabilities for a regulated medical imaging platform using Java, Linux, PostgreSQL, REST APIs, and distributed architectures. Own features from requirements through release, improve performance, scalability, reliability, security, testing, and CI/CD, and resolve production issues. Integrate agentic coding tools with repository-level guardrails and auditable development practices. Mentor developers, collaborate cross-functionally, and contribute to healthcare interoperability and cloud-native initiatives.

Leads the architecture, development, deployment, and optimization of enterprise AI/ML systems, including LLMs and generative AI. Provides technical leadership and mentorship, operationalizes models, implements MLOps, and integrates solutions across AWS, GCP, Azure, Docker, and Kubernetes. Partners with executives, clients, product managers, data scientists, and engineering teams to align AI roadmaps with business goals while ensuring scalable, monitored, cost-efficient, and production-ready systems.

Leads delivery of large-scale AWS and digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches or recruits team members. Collaborates with engineering and enterprise stakeholders while applying agile methodologies, business analysis, and emerging AI, machine learning, data, and cloud technologies.

Designs and leads scalable AI systems, full-stack applications, cloud infrastructure, LLM-powered services, and agentic workflows across Zynga’s game studios. Owns architecture strategy, evaluates AI platforms, establishes engineering standards, drives reliability and quality practices, collaborates with stakeholders, manages technical risk, and mentors engineers. Requires strong Python, cloud, Kubernetes, database, algorithms, and AI/ML integration expertise.

Manages, maintains, and improves production and non-production data center, server, cloud, storage, and network infrastructure. Responsibilities include Windows and Linux administration, Azure infrastructure support, system upgrades, patching, backups, disaster recovery, identity and access management, security monitoring, troubleshooting, audits, documentation, and Tier 2/3 support. The role also leads infrastructure initiatives, recommends system improvements, supports 24/7 operations, and mentors junior systems analysts.

Leads security architecture across products, platforms, cloud environments, applications, and AI systems. Responsibilities include threat modeling, architecture reviews, risk assessments, security requirements, reference architectures, cloud guardrails, secure design patterns, and translating security frameworks into engineering guidance. The role partners with technical and business stakeholders, mentors engineers, evaluates multi-cloud and agentic systems, and supports implementation of secure applications, APIs, containers, and CI/CD practices.

Design, build, test, deploy, and operate governed APIs and retrieval components for AI agents accessing legal content. Own tools end-to-end, including contracts, evaluation suites, observability, reliability, on-call response, and production operations. Improve search relevance with research scientists, define SLOs, document architectural decisions, mentor engineers, and collaborate with product and engineering teams. Use Python, FastAPI, Pydantic, AWS, Vespa, and AI-assisted development practices.

Conducts web application, API, cloud, container, Kubernetes, and infrastructure penetration tests using real-world attack techniques. Identifies and validates vulnerabilities, misconfigurations, access-control issues, and exploitable risks; develops custom offensive-security tools and automation using Python, Terraform, and Ansible. The role also creates rules of engagement, supports red and purple team exercises, establishes security baselines, presents findings to technical teams and executives, and contributes to security training and knowledge sharing.

Leads the architecture, development, and roadmap for an enterprise Infrastructure as Code orchestration platform supporting middleware and databases. Builds automation with Python, Ansible, and Rust; integrates OpenShift and AWS; manages platform enhancements, incidents, compliance, and risk. Evaluates and governs AI coding tools, mentors engineers, advises stakeholders, and drives cross-team technical standards, operational improvements, and delivery initiatives in a complex enterprise environment.

Lead DevOps and platform engineering for a large-scale EV charging network. Architect AWS and EKS infrastructure with Terraform, maintain Helm deployments, build GitHub Actions CI/CD, improve observability and security, automate SOC 2 controls, and operate AI/ML infrastructure. Partner on Databricks and Kafka data platforms, contribute to a Node.js depot operations platform, mentor engineers, and participate in 24/7 incident response.

Own and ship production AI-powered healthcare experiences from discovery through monitoring and iteration. Build LLM, agent, retrieval, tool-calling, and workflow-orchestration systems; establish evaluation, safety, reliability, observability, latency, and cost practices; mentor engineers; and influence technical direction across teams while partnering with Product, Platform, Security, Privacy, Legal, and clinical stakeholders.

Design and optimize large-scale AI training, inference, GPU infrastructure, and MLOps systems for CBC/Radio-Canada’s media production environments. Architect integrations with PAM, MAM, studios, Avid, Dalet, Adobe, and live media workflows. Lead performance, scalability, security, reliability, and observability initiatives while mentoring engineers and data scientists. Evaluate AI frameworks, cloud platforms, orchestration tools, agent protocols, and model-serving architectures, and communicate technical strategies to decision-makers.

Design and deliver secure, production-ready AI applications and agentic systems for financial-services clients. Own GCP architecture, including landing zones, networking, IAM, governance, and security controls. Integrate foundation models with enterprise systems, develop AI evaluation frameworks, and implement retrieval, tools, memory, workflows, and human oversight. Lead architecture discussions, mentor engineers, advise clients, translate ambiguity into delivery plans, and improve reusable engineering practices and operational resilience.

Build and operate enterprise AI platform infrastructure, including gateways, policy engines, identity fabric, registries, guardrails, and observability services. Develop APIs, integrations, and tooling across AWS and Azure; implement secure, scalable, well-tested production systems; support CI/CD, GitOps, monitoring, incident response, and on-call operations. Generate audit evidence for regulatory review, contribute to technical decisions, and mentor junior engineers. The role requires expertise in software/platform engineering plus depth in authorization, identity, observability, gateways, or audit platforms.

Defines and governs enterprise resiliency architecture across multi-cloud and on-premises environments. Establishes production guardrails, readiness standards, SRE practices, disaster recovery, cyber-resilience, blue/green deployments, chaos engineering, observability, and measurable SLOs. Leads reliable AI/GenAI architecture and AI-driven operations, mentors engineering teams, oversees architecture reviews and governance, and communicates reliability tradeoffs to executives.

Lead full-stack engineering for a SaaS wealth-management platform using Angular, TypeScript, Node.js, PostgreSQL, MongoDB, and cloud services. Design scalable applications, REST APIs, and microservices; guide architecture, code reviews, testing, deployments, and performance optimization. Mentor developers, influence engineering standards, collaborate with product and client stakeholders, and solve complex requirements in a regulated financial-services environment.

Build and deploy production AI-enabled applications and agentic systems for clients. Responsibilities include designing agent loops, harnesses, state graphs, tools, evaluation frameworks, observability, safeguards, APIs, data pipelines, and full-stack products. The role involves translating ambiguous business needs into technical solutions, integrating enterprise systems and cloud platforms, troubleshooting deployments, advising clients, mentoring engineers, and supporting discovery, workshops, demonstrations, and pre-sales activities.

Designs and governs cybersecurity architecture across on-premises, cloud, and hybrid infrastructure. Responsibilities include security-by-design, infrastructure security controls, cloud security, cyber resilience, security operations integration, and AI security guardrails. The role conducts design reviews, evaluates emerging threats, supports recovery and ransomware containment, and provides technical leadership to engineering, architecture, delivery, and risk teams.

Lead complex threat investigations, detection engineering, threat hunting, incident response, and containment across endpoint, identity, cloud, SaaS, and production environments. Build detections as code, SIEM/SOAR playbooks, automated response workflows, investigation runbooks, and AI-threat detection capabilities. Translate threat intelligence and purple-team findings into durable controls, support regulatory reporting, brief executives, and help establish a new SOC’s standards and practices. Participate in on-call coverage, including evening and weekend support.

Participate in Agile ceremonies and help deliver cloud-native and on-premises software solutions using AWS. Develop automated unit and system tests, collaborate within a cross-functional team, research emerging technologies, and present findings. The role supports Citco’s Reporting IT team and is intended for a third- or fourth-year computer science student interested in financial services.

Develop full-stack applications for the financial services industry using React, Node.js, TypeScript, SQL, AWS, and Docker. Responsibilities include frontend and server-side development, testing, peer reviews, CI/CD deployment, database work, Agile participation, technical leadership, task breakdown, and evaluating emerging technologies.