Top AWS Jobs in Toronto

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.

The Principal Engineer will architect and own the Shop Builder platform, defining APIs, developing tools for developers and AI agents, and ensuring the platform's technical standards and documentation are met.

Lead a team to deliver tools and API solutions for the Shop Builder platform. Coordinate cross-team dependencies and maintain engineering standards while actively contributing code and driving technical decisions.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

Define technical vision and roadmap for the company ML platform. Architect scalable ML pipelines, MLOps practices, security, observability, and integrations. Guide model training, deployment, serving, monitoring, and provide technical leadership and mentorship across engineering teams.

Design and build AI‑enabled full‑stack capabilities for insurance product modeling and content transformation. Implement Java microservices on AWS with Docker/Kubernetes, create performant JavaScript/TypeScript front ends, leverage AI-assisted coding, improve CI/CD and observability (TeamCity, Git workflows), apply enterprise architecture and design patterns, and collaborate with product and engineering teams to deliver secure, scalable SaaS services.

Lead creation of CRA-compliant SR&ED technical narratives for software R&D. Conduct developer interviews, synthesize complex software/ML/cloud/embedded work into audit-ready reports, collaborate with PMs and finance, manage multiple claim deadlines, and maintain SR&ED compliance and best practices.

Join Supabase's new performance team to identify and fix performance bottlenecks across the stack—from query optimizer to kernel and cloud infra. You will analyze live systems, partner with DB and infra teams, build tooling and methodologies, improve observability, and enable teams to self-serve performance improvements that yield measurable production gains.

Partner with Account Executives to drive new commercial deals by leading technical discovery, solution architecture, demos, and POCs. Serve as trusted advisor across stakeholders, co-own pipeline and quota outcomes, produce enablement assets, and provide product and GTM feedback. Focus on networking, zero-trust, IAM, PAM, and cloud architecture.

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

Build and maintain AWS infrastructure using Terraform, CI/CD pipelines with GitHub Actions, and multi-region Kubernetes clusters. Improve Helm charts, observability, security, and developer experience while collaborating with product teams and participating in business-hours on-call rotation.

Build and maintain authentication, authorization, and user management services across web and mobile. Implement IAM features, contribute to scalable identity systems, write secure testable C# and TypeScript code, design/consume REST or GraphQL APIs, document systems, participate in code reviews and on-call rotation, and collaborate with product, design, and engineering teams to improve reliability and developer experience.

Lead technical delivery of compliant, multi-region (single- and multi-tenant) deployments. Design shift-left practices, develop and review full-stack features (TypeScript, React Native), manage IaC with Terraform and Atmos across AWS/GovCloud, collaborate with security/compliance/product teams, debug and optimize distributed systems, and document audit-ready operational standards.

Designs, builds, and evolves scalable backend systems for a live mobile game. Responsibilities include supporting live-ops and game releases, leading incident management and reliability improvements, driving backend technical roadmaps, delivering integrated server-client features, mentoring engineers, coordinating with cross-functional teams, and improving code quality, performance, and operational readiness.

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

The Data Operations Specialist will manage data operations, ensuring quality data services and compliance, while optimizing data workflows and conducting audits.

Lead design, development, and maintenance of Java-based applications using Spring Boot and microservices. Build RESTful APIs, integrate with Oracle and MongoDB, deploy via Docker/OpenShift, and collaborate across teams. Provide technical leadership, mentor mid-level developers, drive system analysis, resolve complex issues, and ensure solutions align with architecture and compliance standards.

Build and operate scalable, secure cloud infrastructure for real-time AI services. Improve reliability with SLOs, observability, capacity planning, and failure testing. Implement IaC, CI/CD, deployment safety, secrets and vulnerability management. Partner with product and AI teams, diagnose distributed failures, reduce cost, and automate platform patterns to enable faster, safer releases.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

Build end-to-end AI-driven restaurant products from discovery through production. Own full-stack interfaces, backend services, agent workflows, integrations (POS, reservations, telephony), evaluation systems, and instrumentation. Design agent workflows combining models, rules, memory, and human escalation. Work directly with product, design, and restaurant users to iterate, improve reliability, latency, accuracy, and cost, and ship production-quality solutions.

Architect and maintain scalable, secure systems; champion best practices (OO, DDD, microservices); drive code quality, secure SDLC, and data-driven solutions; mentor teams; leverage AI to improve developer workflows; work with analytics and data warehouse tooling.

As a Data Engineer, you will design and implement solutions for data integration and manage data quality, while collaborating with various teams for optimal data usage and decision-making.

Lead architecture, design, and delivery of large-scale, high-availability systems across cloud and mobile. Advance AI enablement and agentic workflows, own full components end-to-end, debug stack-wide issues, mentor engineers, and drive cross-team technical strategy and best practices.

The Senior Software Engineer will design and implement scalable systems using .NET and Angular, lead modernization initiatives, and ensure the reliability of production systems while collaborating with engineering teams.