Top AWS Jobs in Toronto

Own and operate GitOps deployment APIs/CLI and deployment tooling (ArgoCD, Helm) for Cloud Run; maintain TypeScript Nx monorepo and ingress Helm charts; build Go services and durable workflows (Temporal); implement MCP and agentic AI workflows; stabilize, document, and evolve production delivery/platform systems.

Lead a Services AI Platform engineering team as a hands-on technical lead: write production-grade Python/Angular code, design multi-tenant agentic ecosystems, build fine-tuning pipelines and RAG retrieval systems, integrate vector and graph databases, enforce clean architectures (MCP servers), and work with SMEs to deploy agent-driven business use cases.

Lead end-to-end delivery of complex Application Platform initiatives, aligning engineering, product, and cross-functional teams. Manage planning, scoping, risk mitigation, schedules, dependencies, and Agile processes to ensure timely, high-quality releases and continuous improvement.

Drive backend architecture and APIs for the Brand Platform: define service boundaries, build AI enablement, optimize high-contention data models, deliver Kotlin server features, and improve customer-facing experiences for web and mobile.

Design and execute automated API and UI tests, develop and maintain automation scripts, verify data with SQL, report defects, and integrate test suites into CI/CD pipelines while collaborating with cross-functional teams.

Act as the bridge between business and technical teams to gather, validate, and document requirements; advise stakeholders on system solutions; optimize workflows; translate BRDs into technical specs; oversee vendor/data integrations; design test cases and coordinate UAT and training; and support project scoping, timeline estimation, and risk management.

Lead design, migration, and optimization of enterprise CI/CD pipelines from IBM UrbanCode Deploy to Octopus Deploy across VM and mainframe environments. Refactor Groovy scripts into Octopus processes, develop C# deployment automation, validate production deployments, troubleshoot release issues, and drive CI/CD governance, security, and continuous improvement.

Design, architect and implement large-scale risk and pricing microservices for counterparty credit risk. Build on-demand pricing, streaming and caching solutions, deliver P&L and risk projects, and create tooling to improve team efficiency while collaborating with trading, finance and global stakeholders.

Join as a shared DevOps/SRE-focused engineer to build and maintain infrastructure, improve deployment pipelines (GitOps/Argo CD), implement IaC (Terraform), ensure reliability, scalability and performance on AWS/Kubernetes, support multiple engineering teams, mentor engineers, and optimize the ODCO platform and operational practices across the organization.

Lead and hands-on manage IT operations including network, systems, cloud, identity, DevOps, incident response, and security. Build and mentor a multidisciplinary team, drive automation, operational roadmaps, vendor management, and cross-functional alignment to ensure reliable, secure, and scalable infrastructure.

The Senior Technical Consultant will implement and integrate Blue Yonder WMS solutions, develop technical concepts, ensure system integration, and enhance platform functionality based on customer feedback.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

The Connector Software Engineer will design, develop, and maintain software connectors for API and database integrations, focusing on data security and interoperability in enterprise systems.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform in diverse environments, ensuring scalability and security while collaborating with internal and client teams.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Lead a senior engineering team building Twilio's low-latency, high-throughput media processing stack. Define architecture, ensure reliability and performance under strict SLOs, mentor engineers, balance technical debt and features, own service metrics, and align media platform capabilities with the broader Voice strategy.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

Lead design and delivery of full-stack imaging features, architect high-performance ASP.NET Core services, build Vue frontends, integrate APIs with EMRs and imaging partners, mentor engineers, enforce automated testing, CI/CD and observability, and drive technical roadmap in an Agile team.

Design, build, and optimize scalable AI-enabled application features and services. Integrate ML models and generative AI, ensure secure and test-driven implementations, troubleshoot AI performance, mentor engineers, and drive AI architecture, CI/CD, and best practices across teams.

Senior front-end–leaning full-stack developer to own end-to-end feature delivery across diverse SaaS stacks. Use AI-augmented development tools to accelerate builds, modernize legacy systems, ensure test coverage and safe deployments, mentor junior engineers, and communicate progress to leadership while delivering polished, user-focused UI/UX.

Lead end-to-end feature development and modernization across diverse SaaS stacks, using AI-augmented tooling to accelerate delivery. Maintain legacy production stability, establish testing and secure deployment workflows, and mentor junior engineers while partnering with business stakeholders.