Top AWS Jobs in Toronto

Design, build, and operate CIAM backend services for registration, authentication, authorization, and account lifecycle. Implement OAuth/OIDC/SAML/SCIM, develop APIs in Python/Kotlin, integrate identity platforms, automate deployments with IaC and CI/CD, and ensure secure, reliable, high-scale identity operations.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.

Lead and grow a Maps & Search engineering team responsible for the home search experience across web and mobile. Stay hands-on with coding and architecture, scale a high-throughput search platform (~1B monthly requests), improve relevance and latency, integrate AI/LLMs into discovery and ranking, shape product roadmap, and own delivery, SLOs, and incident response.

Design, build, test, ship, and operate services powering card issuance, transaction processing, and disputes. Own features end-to-end within a microservice and event-driven architecture, write well-tested code, participate in on-call incident response, and leverage AI tools to improve development velocity and quality while collaborating with cross-functional teams.

Lead product vision and strategy for complex, high-stakes digital products in client engagements. Serve as the senior product advisor to executives, define operating models and delivery standards, guide discovery and roadmapping, resolve complex product decisions, and establish success metrics. Mentor experienced product managers, influence engineering and design teams, support business development, and improve product management practices. Apply AI tools such as Claude to increase efficiency and strengthen research and product thinking.

Own the technical sales motion for NVIDIA-focused enterprise AI infrastructure deals. Lead discovery, architecture, proof-of-concept design and execution, technical closes, partner and field SE enablement, troubleshooting, escalation, customer workshops, and product feedback. The role requires expertise in NVIDIA systems, storage, data platforms, Linux, parallel file environments, GPU clusters, and AI pipelines, with Bay Area availability for on-site partner or customer sessions.

Leads enterprise security architecture across cloud, identity, networks, applications, and data. Develops security roadmaps, reference architectures, controls, and standards; conducts threat modeling and architectural risk assessments; ensures regulatory alignment; advises technology and business leaders; evaluates security technologies; leads architecture reviews; and mentors security and engineering teams.

Build AI-powered features that automate data-driven slide decks and documents. Develop production LLM solutions using LangChain, RAG, LlamaIndex, and generative AI technologies; improve system performance and reliability; and collaborate with designers and engineers. Responsibilities span AI insights, content generation, integrations, optimization, and potentially LLM agents. The role requires advanced Python, machine learning and NLP expertise, and experience building and fine-tuning LLMs in production.

Manage end-to-end AWS and Anthropic funding program workflows, including documentation, funding requests, invoice preparation, compliance checks, approvals, and deadline tracking. Maintain accurate client records and operational systems, communicate program updates, coordinate with internal teams and external AWS stakeholders, resolve documentation issues, and improve efficiency through reporting tools and automation.

Designs and improves large-scale data processing systems and GCP workflows using Dataflow, BigQuery, Pub/Sub, GKE, and Airflow. Evaluates technologies, establishes engineering standards, leads cross-functional data projects, develops data abstractions with Data Science, mentors engineers, and supports evolving data products.

The Quality Assurance Analyst performs manual and automated testing throughout the software development lifecycle. Responsibilities include reviewing requirements, creating test plans and cases, executing functional, integration, regression, end-to-end, and exploratory tests, managing defects, maintaining automation suites, supporting CI/CD integration, and reporting quality metrics. The role also applies AI-assisted testing tools to improve test coverage, identify risks, analyze defects, and enhance QA processes while collaborating with product, development, and support teams.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Lead technical strategy and roadmap for Affirm's Online Storage platform. Design and build scalable, multi-region datastore solutions, automation control planes, and operational tooling for hundreds of databases. Drive cross-team collaboration, reliability, monitoring, and mentor engineers while delivering high-impact backend and database features.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Own zero-to-one development of AI agent authorization and phishing-resistant authentication capabilities. Design scalable backend architectures, complex API integrations, and robust fullstack applications using Java, JavaScript, TypeScript, Vercel, and AWS. Shape product direction, modernize software development through AI tooling, improve reliability and engineering excellence, make lasting architectural decisions, and coach engineers while maintaining strong customer and security focus.

Design, develop, test, deploy, operate, and improve high-scale enterprise applications. Build Java-based microservices using cloud technologies, Kubernetes, CI/CD pipelines, and infrastructure as code. Troubleshoot production issues, integrate systems, contribute to architecture and technology roadmaps, manage project priorities, and collaborate within a distributed agile engineering team. Preferred experience includes agentic AI and big data processing technologies.

Leads engineers and technical leads in delivering AI-powered customer experience and contact center products. Responsibilities include solution architecture, technical design reviews, implementation planning, customer deployments, cross-functional coordination, risk management, operational readiness, and evaluation of emerging AI and CCaaS technologies. The role develops architecture diagrams, oversees complex software implementations, and guides integrations across cloud, AI, and contact center platforms.

Design, develop, and manage scalable AWS cloud services powering the AssistIQ platform. Build platform capabilities, serverless applications, CI/CD automation, infrastructure-as-code, deployment monitoring tools, and AI-assisted engineering workflows. Evaluate technologies, provide technical guidance, maintain documentation, support product planning, and participate in production on-call rotation while collaborating across teams and with executives.

Lead the design, development, and operation of scalable distributed search infrastructure and data-intensive microservices. Partner with architects, product managers, and engineering leaders on technical solutions, reliability, monitoring, incident response, and optimization. Drive coding and design standards, conduct reviews, mentor and hire engineers, and solve complex distributed systems and information retrieval challenges using cloud platforms and modern databases.

Build and maintain Ripple’s multi-region platform infrastructure, release pipelines, and lifecycle services. Develop platform features for compute, authentication, service discovery, observability, and redundancy. Create automation, monitoring, and instrumentation tooling; support secure, reliable deployments across cloud providers; contribute to CI/CD, infrastructure-as-code, and GitOps practices; and collaborate with product engineers while mentoring junior team members.

Provides technical support for Decision Management SaaS applications across cloud regions and higher environments. Investigates configurations, access issues, functionality problems, and code bugs using logs and monitoring tools. Collaborates with developers, QA, configuration managers, network engineers, and stakeholders to troubleshoot, test, deploy fixes, and resolve tickets within SLAs. Maintains runbooks, participates in agile release activities, supports production incidents, and contributes to J2EE application development.

Own marketing analytics and measurement to improve acquisition, campaign performance, and marketing ROI. Lead multi-touch attribution, marketing mix modeling, A/B testing, incrementality studies, and KPI analysis. Partner with Marketing and Product to improve data quality, translate complex findings into recommendations, influence senior stakeholders, and coach peers on analytics practices.

Build and productionize AI agents for product analytics, integrating LLMs, tools, retrieval pipelines, and data systems. Develop data pipelines, evaluation frameworks, guardrails, telemetry, and monitoring. Diagnose agent quality issues, improve prompts and context, and contribute to proactive product intelligence systems. Collaborate with product and engineering teams to translate business needs into reliable agent designs while documenting work and following shared development standards.