Top AWS Jobs in Toronto

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.

Develop, launch, and maintain backend systems for card issuing and transaction processing. Break down projects, collaborate with product/design/analytics, write clear well-tested code, support operations and on-call duties, create/monitor metrics, perform code reviews, and participate in hiring and team growth activities.

Lead design, automation, and maintenance of cloud-based database infrastructure (primarily SQL Server and MySQL). Improve reliability with monitoring, HA/DR, automation, troubleshooting, on-call support, and mentoring of junior engineers while collaborating across teams.

Build and operate ML training and serving infrastructure: design, develop, and launch backend systems, support availability and on-call, collaborate cross-functionally, and improve developer velocity.

Lead cross-functional teams to architect, build, and deliver cloud-native, enterprise-grade web applications. Drive AI-native development practices, spec-driven workflows, and use of AI coding agents. Oversee frontend and backend architecture, APIs, integrations, CI/CD, containerization, and observability while mentoring teams and partnering with stakeholders to meet client objectives.

The Full-Stack Developer will design, develop, and maintain integrations, APIs, and applications for MaintainX, focusing on high-quality, reliable code and collaboration with teams.

The IT Administrator will manage IT operations, provide technical support, implement security measures, and drive automation initiatives enhancing employee experience and system efficiency.

Develop and maintain delivery and automation systems using TypeScript/Node (NestJS) and Go. Provide operational coverage, ship features, investigate deploy issues, support CI/CD and GitOps tooling (ArgoCD/Helm/GitHub Actions), and contribute to infrastructure provisioning and automation.

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 and develop engineering teams building enterprise SaaS products and platform services. Drive technical execution, architecture reviews, CI/CD, automated testing, observability, security, production operations, incident response, and mentor engineers while partnering with Product and Architecture to deliver scalable, reliable software.

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.

Hunter-oriented BDM responsible for sourcing and qualifying new enterprise and mid-market opportunities across North America, building pipelines, outbound prospecting, coordinating discovery, partnering with leadership to close deals, and attending events (travel ~40%). Focus on selling consulting and technology services.

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, develop, and deploy machine learning platforms and services. Collaborate with data scientists, build model-hosting services, create data pipelines, run simulations, and monitor ML application performance.

Design, build, and maintain backend systems and APIs for stablecoin-based pay-ins, payouts, deposits, and withdrawals. Own projects end-to-end as DRI, collaborate with cross-functional teams, resolve scalability and reliability issues, mentor engineers, and integrate blockchain/payment technologies while producing technical design documents.

Design, build, test, and support React frontends and Java Spring Boot microservices that implement SMART on FHIR and HL7v2 integrations with Epic/Cerner/MEDITECH. Implement secure OAuth2/OIDC launch flows, FHIR APIs, scheduling and encounter workflows, Mirth-based interface routing/transformation, and production support. Deliver cloud-native AWS deployments, CI/CD, testing, documentation, and operational handover for virtual care integrations.

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.

Embed with clients to design, prototype, and productionize GenAI agentic systems on Databricks. Build RAG and multi-agent workflows, develop Lakehouse data foundations, operate MLOps/LLMOps pipelines, integrate LLMs/APIs, and measure agent performance, reliability, and cost. Conduct workshops, proofs of concept, and deliver secure, observable enterprise deployments.

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.

Lead the MLOps team focused on AWS cloud services and machine learning operations, design production-grade capabilities, and mentor other engineers.