Top AWS Jobs in Toronto

Leads enterprise data privacy product strategy, discovery, build-versus-buy evaluations, integration architecture, and product backlog management. Serves as a privacy and data governance SME, translating regulations and risk frameworks into technical requirements. Guides engineering teams on APIs, cloud platforms, identity integration, privacy automation, data discovery, consent, DSAR workflows, and secure data pipelines. Oversees vendor governance, roadmaps, reporting, delivery risks, and cross-functional implementation across global business lines.

Build AI-augmented, full-stack applications from concepts and prototypes through production, with emphasis on frontend excellence. Create accessible, responsive React, Vue, and Nuxt interfaces; develop APIs and backend services; manage SQL and NoSQL databases; implement authentication, caching, performance, and scalability strategies. Use AI design tools, Figma, design systems, and specification-driven workflows while collaborating with designers and innovation teams.

Design, develop, test, deploy, and support scalable full-stack enterprise applications. Build React interfaces, Java and Spring Boot services, APIs, microservices, databases, and cloud deployments. Support CI/CD, automated testing, security, troubleshooting, documentation, and continuous improvement while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Architect, build, and optimize BuildOps’ full-stack platform using React.js, Node.js, GraphQL, REST, and SQL. Lead technical decisions, API and database optimization, observability, testing, cloud infrastructure, and event-driven architecture. Mentor engineers, establish engineering best practices, guide cross-team technical initiatives, and collaborate with product, QA, customers, and partners to deliver reliable, scalable software.

Leads client relationships, technology delivery teams, product strategy, solution architecture, and internal innovation products. Owns engagements from problem discovery through delivery, managing scope, budgets, risks, timelines, resourcing, and account growth. Builds delivery standards, develops cross-functional talent, shapes proposals and roadmaps, and partners with sales and leadership. Supply chain, fulfillment, logistics, and modern software delivery expertise are strongly preferred.

Design and deploy AI-powered applications, agentic workflows, and enterprise automation solutions. Build data pipelines, APIs, microservices, and AI components using Python, SQL, and related technologies. Integrate LLMs, machine learning models, RAG, embeddings, vector databases, and agent frameworks in a regulated financial-services environment. Collaborate with architects, product owners, data scientists, and engineers while documenting solutions and researching emerging AI capabilities.

Designs and leads production-grade generative AI, agentic AI, and machine learning solutions across cloud and edge environments. Establishes architecture standards, MLOps practices, observability, guardrails, and reusable frameworks. Advises product and engineering teams, develops proofs of concept, evaluates AI platforms, and integrates intelligent capabilities into grid automation and industrial systems. Requires strong experience with cloud infrastructure, AI/ML frameworks, deployment technologies, energy-system modeling, and full lifecycle model delivery.

Lead enterprise Open Banking and Open Finance architecture strategy, governance, standards, and delivery. Design secure APIs, permissioned data sharing, payment initiation, real-time and cross-border payment capabilities, cloud-native integrations, and microservices architectures. Translate regulatory, privacy, risk, and security requirements into scalable solutions while advising executives, regulators, and industry partners. Establish reference architectures, roadmaps, API standards, and governance frameworks, lead transformation initiatives, evaluate emerging technologies, and represent the organization in industry standards bodies.

Own and lead the development, migration, and operation of recommendation systems for Fable and Everand. Responsibilities include moving Fable’s recommender to the Orion ML platform, extending ranking and retrieval capabilities, incorporating social signals, managing production quality and reliability, designing A/B tests, partnering with product managers, leading cross-team delivery, and improving engineering practices.

Design and govern production-grade AI agent platforms, integrating agents through APIs and custom MCP servers. Build scalable frontend and backend systems using React, TypeScript, Node.js, and Python. Implement security, reliability, compliance, and governance guardrails; create agent discovery and evaluation experiences; support client technical engagements; and advise on cloud infrastructure and database strategies.

Provide Level 2 operational support for a large enterprise network in a 24/7 environment. Monitor and respond to incidents, troubleshoot LAN, WAN, wireless, firewall, load-balancing, optical, and SD-WAN technologies, and perform root-cause analysis. Coordinate with internal teams, clients, and vendors to restore services and maintain network stability, availability, resilience, and performance. The role requires rotating 12-hour day and night shifts and expertise with Cisco, Aruba, and enterprise monitoring platforms.

Lead the technical evaluation, modernization, and ongoing evolution of enterprise web and CMS platforms. Build prototypes, define migration architectures, develop reusable platform capabilities, and partner with infrastructure, engineering, and product teams on hosting, APIs, integrations, AI, security, privacy, accessibility, performance, SEO, and compliance. Serve as the technical expert for patient and healthcare professional websites in a highly regulated environment.

Build and deploy AI-powered HR applications, LLM integrations, RAG pipelines, AI agents, and secure HRIS/ATS integrations. Develop automated workflows, APIs, scripts, cloud deployments, and reusable AI tooling. Implement safeguards for sensitive employee data, conduct testing, maintain privacy and security compliance, and collaborate with HR, IT security, and data-governance teams. Train HR stakeholders and document AI solutions and recommendations.

Designs, builds, and maintains scalable batch and streaming data pipelines across AWS and GCP. Develops ETL/ELT workflows using Python, PySpark, and advanced SQL; optimizes performance, storage, and query execution; implements data quality and governance controls; and supports data lakes, warehouses, and ML workflows. Collaborates with data scientists and ML engineers on MLOps automation and production deployments while maintaining CI/CD, Docker, infrastructure standards, and technical documentation.

Leads data engineering and ML Ops strategy, infrastructure, pipelines, model deployment, monitoring, and optimization. Oversees data engineers, establishes data-centric practices, ensures scalable and secure systems, and partners with data scientists and cross-functional teams. Responsibilities include roadmap planning, team development, compliance, resource allocation, continuous improvement, and adoption of modern cloud, data engineering, and machine learning technologies.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Own and evolve high-scale backend systems for Stream’s Chat or Activity Feeds products. The role involves hands-on software development, database and infrastructure work, system architecture, technical leadership, scalability, public APIs and SDKs, and production reliability. Engineers will work with distributed systems, real-time workloads, Kubernetes, relational databases, caching, messaging, observability, and cloud infrastructure while delivering production code and owning systems end to end.

Test and validate AI models and software for automotive use cases: generate ground truth, build annotated datasets and testing frameworks, evaluate technologies, support R&D engineers, coordinate projects and outsourced work, and collaborate with internal and external partners to drive innovation and product readiness.

Leads end-to-end solution architecture across Guidewire, enterprise, vendor, and downstream systems. Designs scalable ClaimCenter and GWCP solutions, governs API, event-driven, and messaging integrations, establishes architecture standards and data models, and leads design reviews and technical oversight. Collaborates with business, engineering, and vendors, while driving proofs of concept and adoption of cloud, AI, automation, and digital capabilities. Requires Guidewire implementation expertise, P&C insurance knowledge, cloud-native architecture experience, and technical leadership.

Leads global technology teams in modernizing customer communications platforms through cloud technologies, Kafka-based event-driven architectures, composable systems, and legacy migrations. Develops technology roadmaps, partners with clients and business stakeholders, oversees delivery and onboarding, and drives resilient, automated, high-volume transaction platforms. Provides technical and organizational leadership while promoting engineering excellence, system reliability, continuous improvement, and team development.

Develop and maintain scalable Java applications using Spring Boot, RESTful APIs, and relational databases. Collaborate with business and internal teams to refine requirements, automate tasks, debug systems, and perform test-driven validation. Review code, improve products, monitor system performance, and keep software current. The role may also involve cloud platforms, containers, CI/CD, UI frameworks, security protocols, production support, and mentoring.

Leads AWS-focused consulting engagements, serving as the primary architect and client-facing technical advisor. Designs and implements enterprise cloud solutions, migrations, service delivery frameworks, and scalable architectures. Guides delivery teams, supports project governance and risk management, contributes to pre-sales scoping and pricing, and ensures successful implementation. Requires extensive AWS architecture and migration experience, multiple AWS certifications, French and English fluency, and willingness to obtain or maintain Canadian Secret clearance eligibility.

Build and ship AI agentic features for legal professionals, developing Python, FastAPI, and PostgreSQL backend services, LLM orchestration, cloud-native workflows, observability, testing, and CI/CD automation. The role involves debugging production systems, collaborating cross-functionally, and contributing to scalable AI-powered products. Engineers will primarily focus on backend development while gaining opportunities in frontend technologies and full-stack development.

Provides organization-wide technical leadership for AWS cloud infrastructure and security architecture supporting a connected-home energy platform. Designs scalable infrastructure, infrastructure-as-code standards, security controls, identity and access management, threat modeling, observability, and cost optimization. Partners with SRE and product engineering teams on reliability, secure coding, technical strategy, tooling evaluations, and mentorship. The role requires hands-on expertise in cloud platforms, distributed systems, security engineering, containers, CI/CD, and modern observability.

Designs and implements scalable GCP data platforms, pipelines, integrations, and event-driven cloud architectures. The role uses BigQuery, Dataflow, Cloud Run, Cloud Functions, Pub/Sub, Terraform, and Azure DevOps while ensuring security, governance, reliability, and performance. Responsibilities include stakeholder collaboration, architecture documentation, cloud migration, troubleshooting, and continuous improvement.