Top AWS Jobs in Toronto

Design, build, and maintain secure cloud, on-premises, and hybrid infrastructure. Develop and support Infrastructure-as-Code, automation, and deployment standards. Implement cloud security, identity, secrets management, monitoring, and telemetry. Integrate security tooling and automate controls, remediation, and operational workflows to improve threat detection, response, and operational efficiency.

Design and deliver cloud and AI security solutions, provide architecture and automation code, build proofs-of-concept, advise customers, publish reference architectures and technical content, and support training and evangelism for Fortinet cloud products.

Provide technical and business support for Citi applications, troubleshoot and resolve production incidents, participate in releases and disaster recovery testing, maintain runbooks and documentation, perform RCAs and change control, liaise with stakeholders and technology partners, and support stability and efficiency initiatives.

Lead and build a platform engineering team that delivers developer experience: CI/CD, deployment automation, observability, test infrastructure, and AI-assisted tooling. Own roadmap, metrics (DORA/DevEx), hiring and coaching, partner cross-functionally to drive continuous deployment, quality, and incident management, and ship high-leverage platform capabilities for product engineering squads.

Lead FedRAMP Moderate compliance program from gap assessment through remediation and continuous monitoring. Coordinate Engineering, DevSecOps, Security, and Compliance to implement NIST 800-53 controls, maintain SSPs and POA&Ms, work with 3PAOs and federal sponsors, and align cloud architecture and security controls across AWS/Azure/GCP. Drive documentation, vulnerability management, incident response, stakeholder reporting, and governance.

Design, build, and scale a big-data platform and microservices for event-driven, time-series, and analytical workloads. Lead architecture for streaming, processing, and storage (performance, cost, fault tolerance), develop REST APIs, integrate messaging and scalable datastores, ensure security/compliance, and champion AI-assisted developer tooling.

Senior backend engineer to architect and implement distributed, cloud-native backend services and public APIs that ingest and normalize high-volume IoT/sensor data. Lead design and deployment of resilient ingestion pipelines, workflow orchestration, authentication, and monitoring in AWS. Interface with enterprise clients, shape product and architecture, and drive engineering standards and automation.

Build end-to-end features for an agentic AI media manager: design APIs, backend services, agent logic, data models, and customer-facing interfaces; use AI coding tools, test and operate production systems, work directly with customers, and iterate on agent reliability, guardrails, and human approval flows.

Lead full‑stack architecture and technical vision for enterprise systems while architecting and orchestrating agentic, AI-native delivery. Design APIs, services, data pipelines, cloud infrastructure, and integrations with LLMs, RAG, vector stores, and composable platforms. Mentor engineers, drive spec-driven agent workflows, and collaborate with cross-functional stakeholders to deliver production-ready, scalable solutions.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

Build scalable backend systems, develop LLM agents, and ensure fast adaptation in a dynamic environment at Sentra.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

As a backend engineer, you will design and develop healthcare APIs, leverage AWS services, and enhance existing systems while ensuring high-quality standards.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Lead strategy, design, and execution of platform integrations connecting Sully.ai's AI clinicians to EHRs and partner APIs. Build and scale the integrations team, ensure HIPAA-compliant, secure, and reliable connectors, ship SDKs and CI/CD/observability standards, and deliver production EHR connectors while partnering with Product, Clinical, Security, and Customer Success.

The Infrastructure Engineer will design and implement advanced cloud infrastructure, manage Kubernetes, establish engineering standards, and support IoT deployments in manufacturing environments while driving automation and mentoring teammates.

The Edge Functions Engineer will evolve the Supabase Edge Runtime, implement monitoring and optimizations, manage features, and work closely with the Deno open-source teams.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Build and maintain platform and infrastructure systems across the stack: cloud infrastructure, IaC, CI/CD, queues, observability, auth, and developer experience to improve reliability and developer velocity.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

Lead strategic architecture for front-office investment technology and data solutions, advising on platform selection and implementation (Aladdin, Charles River, Bloomberg, etc.), guiding data architecture, governance and quality, managing small-to-medium implementation teams, and ensuring delivery across portfolio management, trading, and reporting domains.