Top AWS Jobs in Toronto

Develop and manage backend services using Python and Java, design databases, automate tasks, and mentor junior developers. Collaborate on architectural decisions and debug production issues.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The DevOps Engineer will optimize cloud computing solutions, enhance infrastructure performance, ensure high availability, and manage CI/CD tools while collaborating with development teams.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

Lead a systems engineering team to design, deploy, and operate scalable AWS infrastructure. Author infrastructure-as-code, improve observability and automation, mentor engineers, partner with product teams on security, reliability, and performance, and hire top talent to support global SaaS capabilities.

As a Cloud CyberArk Engineer, you will implement PAM solutions in cloud environments, ensuring secure management of privileged accounts and collaborating with clients to define governance frameworks.

Lead the development of native mobile applications for iOS and Android using Swift and Kotlin, overseeing architecture and integration with hardware. Collaborate with cross-functional teams and mentor junior developers.

As a Senior Site Reliability Engineer, you'll ensure reliable operations for Guidewire's cloud platform, collaborating with customers and cross-functional teams to enhance performance and automate systems.

The AI Architect will design, code, and deploy hands-on AI solutions, leveraging AWS and Agentic AI patterns while leading technical team growth.

Lead and operationalize production across AWS and colocation systems. Unify SRE, DevOps, CloudOps, Security, and DBA teams to ensure reliability, performance, incident management, observability, compliance (PCI, SOC2), vendor management, and ITSM maturity. Drive cloud strategy, scalability, and operational excellence.

The Bioinformatics Analyst develops and maintains genomic pipelines, collaborates with research partners, analyzes omics data, and communicates findings to various stakeholders.

The Senior DevOps role involves building scalable cloud infrastructure, managing CI/CD pipelines, automating processes, ensuring reliability, and mentoring engineers.

As an AI/ML Engineer, you'll develop and optimize machine learning models for mobile applications, collaborate with teams, and integrate AI-driven features to enhance user experience.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Design, develop, and integrate scalable applications using Angular for frontend and Java with Spring Boot for backend. Ensure seamless user experience and performance while collaborating with cross-functional teams.

As a DevOps Engineer, you will create automation for a new managed service product in AWS focusing on GitOps solutions and ArgoCD.

Design, develop, and maintain backend services using Core Java and Spring Boot, working with Microservices, RESTful APIs, and SQL/NoSQL databases.

The Java Full Stack Developer will develop backend services, design Microservices, and build responsive UIs with React.js, ensuring integration and performance optimization.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

Manage and grow a small ML/GenAI engineering team while remaining hands-on: design and implement GenAI systems (agents, RAG, tool use), build NLP solutions (NER, classification, retrieval, summarization), partner with PMs and engineers to scope and ship features, and coach engineers on technical and career growth.

Build and scale back-end systems and real-time bidirectional EHR integrations; grow data processing and storage from terabytes to petabytes; own end-to-end cross-functional projects; improve core systems and DevOps for 100x growth; partner with product and engineering leadership to set technical direction.

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

As a PostgreSQL Database Support Engineer, you'll assist DBA teams with troubleshooting, create knowledge base articles, and author community blogs while focusing on performance tuning and high availability solutions.

Lead architecture and hands-on implementation of a cloud-native, multi-tenant SASE control plane and orchestration for globally distributed gateways. Design scalable, resilient multi-region systems, define multi-tenancy models and APIs, partner with data-plane teams, establish CI/CD and IaC standards, mentor engineers, and optimize platform cost and operational efficiency.