Top AWS Jobs in Toronto

Design, build, test, and deploy scalable full-stack web applications using a modern Java-based stack. Develop backend services and APIs, create responsive front-end components, optimize database performance, support CI/CD, participate in code reviews, write automated tests, and mentor junior developers while collaborating with cross-functional teams.

Lead architecture, design, and delivery of enterprise-scale Agentic AI solutions. Oversee multiple engineering pods, mentor teams, manage client-facing architecture discussions, ensure production-grade MLOps, cloud infrastructure, microservices, observability, and adoption of emerging AI technologies.

Lead architecture and delivery of highly available, resilient cloud and on‑prem systems for the Password Safe platform. Own platform engineering, CI/CD pipelines, IaC/GitOps, release orchestration, observability (metrics/logs/traces), chaos engineering, SLO/SLI definition, and core services. Mentor engineers, define SRE strategy, and drive reliability, security, and automation improvements.

Lead and deliver platform engineering, DevOps, and CI/CD initiatives from design through production. Build and maintain CI/CD pipelines, AWS infrastructure with IaC, Kubernetes/EKS environments, automation scripts, observability, and secure engineering practices. Troubleshoot production issues, participate in on-call rotations, and mentor junior engineers to improve reliability and developer productivity.

Design, develop, and enhance Cority software and client solutions. Lead technical decisions and teams, produce production-ready code, implement CI/CD, perform code reviews, mentor junior developers, collaborate with Product Owners, support and maintain systems, and own functional areas or projects.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.

Build and maintain backend systems and infrastructure for an AI-focused startup. Implement services in Python/TypeScript, design moderately complex systems, manage SQL/NoSQL databases, deploy on public cloud (AWS/GCP/Azure), use containerization and IaC, build CI/CD pipelines, implement monitoring/logging (Prometheus/Grafana/ELK/DataDog), and ensure strong networking, Linux, and database security.

Trusted technical advisor for strategic customers to deploy, operate, and scale LanceDB. Lead onboarding, architecture reviews, and performance tuning; troubleshoot distributed-system issues; build dashboards and enablement; collaborate with sales engineering and product/engineering to influence roadmap and resolve escalations; contribute runbooks, tooling, and processes for post-sales success.

Serve as technical lead in pre-sales: architect and demo LanceDB solutions for RAG, vector search, and ML pipelines; run discovery sessions, build POCs, onboard partners, and relay customer feedback to product and engineering.

Lead technical partner enablement and co-delivery for LanceDB: onboard and train partner engineers, run PoCs and architecture reviews, author reference architectures and deployment blueprints, relay partner feedback to product, and support GTM and thought-leadership activities to scale partner integrations.

Design and build a test automation framework from scratch; write and maintain API, integration, and end-to-end UI tests; integrate suites into CI/CD; reduce flakiness; apply and evaluate AI-assisted testing tools; mentor engineers and raise automation quality across squads.

Lead the development of cloud-native enterprise applications using React and AWS, mentor team members, collaborate with stakeholders, and optimize solutions.

Designs, develops, migrates and maintains scalable cloud-native applications on AWS. Builds RESTful APIs and microservices using Python/Node.js, implements serverless architectures, establishes CI/CD pipelines, ensures performance and security, participates in code reviews, and supports cloud strategy and documentation within a regulated enterprise environment.

Lead multiple engineering teams owning the internal developer platform, CI/CD, cloud infrastructure, observability and developer tooling. Define technical strategy, remove development friction, improve developer productivity, coach managers, influence architecture, and deliver scalable platform capabilities in a distributed, remote-first organization.

Senior leader responsible for shaping and scaling Instructure's partner ecosystem and channel programs to drive revenue. Builds and manages reseller, integration, ISV, and strategic technology partnerships, aligns cross-functional GTM plans, forecasts bookings, and manages budgets. Measures partner performance, expands government and consortia relationships, and discovers alternative revenue models.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

The Detection & CorpSec Engineer at Quora will build and maintain detection systems, strengthen corporate security controls, and respond to security incidents while collaborating with IT and advising non-technical teams.

Senior technical leader designing, building, and evolving cloud infrastructure, automation, and platform capabilities. Lead DevOps architecture, CI/CD, IaC, Kubernetes/Docker orchestration, cloud migrations (AWS/Azure), security/compliance, observability, and SRE practices while mentoring teams and driving platform modernization and reliability for enterprise SaaS.

Develop scalable applications and backend infrastructure for brand safety and content suitability. Design APIs, deploy ML models, and manage database systems.

Seeking a Sr DevOps Engineer to design and maintain secure, scalable AWS cloud infrastructure, manage CI/CD pipelines, and improve system reliability across advanced data analytics platforms.

Lead development, training, deployment, and optimization of deep learning computer vision models using aerial and geospatial imagery. Build high-quality datasets, collaborate with product and engineering teams to translate requirements, and mentor data science team members while establishing best practices for production ML.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.