Top AWS Jobs in Toronto

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

Lead design, build, and maintain high-availability CI/CD infrastructure. Advise developers/testers on DevOps toolchains, research emerging tools, optimize build and release processes, perform code reviews and security analysis, manage Microsoft Power Platform, and collaborate across the SDLC to deploy and tune cloud/PaaS solutions.

The AI Specialist will integrate AI technologies into R&D processes, develop automation tools, collaborate with researchers, and maintain high-quality production code.

Oversee risk-critical engineering initiatives. Manage team performance, ensure quality standards, and collaborate on technical strategies to enhance risk, fraud, and trust systems.

Lead and own finance application portfolio (S/4HANA, Ariba, Vertex, GEAC, Mainframe). Manage incident/request handling, availability, and delivery of projects impacting financial systems. Partner with Finance and IT to execute ERP strategy, enforce SDLC and SOC/GITC compliance, support audits, and lead and mentor the team to drive continuous improvement.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Hands-on senior data developer responsible for designing, building, and optimizing Hadoop-based and real-time streaming data pipelines (Kafka, Spark). Integrate AI/ML models and MLOps into production, ensure performance, security, and governance for banking data, mentor teammates, and deliver end-to-end data initiatives within small agile squads.

Lead architecture and deliver enterprise features for Auth0 Organizations. Drive technical improvements, orchestrate cross-team projects, mentor engineers, collaborate with PM/design, and build scalable, secure backend and full-stack services with strong observability.

Provide technical application support for a global fintech platform: troubleshoot and root-cause complex issues, manage support tickets and escalations, author knowledge-base articles, support live and pre-production infrastructure, collaborate with engineering/product teams, and contribute to releases and process improvements to meet customer SLAs.

Design, implement, and operate internal and edge networking infrastructure at global scale across multi-cloud regions. Build services, tools, and automation to expose network functionality, improve routing, failover, and scaling. Lead cross-team initiatives including code and design reviews, ensure operational robustness and security hygiene, and participate in on-call rotation.

As a Senior Software Engineer, you will design, implement, and maintain backend systems that integrate identity and authorization capabilities into AI workflows, ensuring security and reliability at scale.

Lead design and implementation of Okta identity platforms for customers: gather requirements, run discovery workshops, create designs and project plans, provide technical leadership, integrate cloud and on‑prem systems, perform health checks, and support customer success and delivery.

Lead performance and resiliency for Auth0 by building/testing infrastructure, evolving load testing frameworks, generating realistic datasets, using observability/APM tools, executing chaos engineering, participating in incident RCAs, developing backend frameworks, and managing a global team including hiring, coaching, and cross-team stakeholder coordination.

The Staff Software Engineer will develop and maintain a scalable Universal Directory platform, focusing on identity management, high-performance software components, and collaborating with various teams for deployment and quality assurance.

Lead enterprise IT infrastructure selection, deployment, monitoring, and lifecycle management across on-prem, cloud, and hybrid environments. Provide advanced technical support, governance, cybersecurity best practices, vendor management, asset lifecycle, identity/access management, disaster recovery, and IT policy compliance. Drive upgrades, migrations, preventative maintenance, and security awareness programs while supporting distributed and production cluster environments.

Design, develop, and maintain large-scale Java-based microservices and APIs. Mentor junior engineers, lead small projects, perform advanced debugging/refactoring, ensure API security and quality, and collaborate with product and analytics.

Build backend infrastructure and APIs to integrate Lyft with emerging AI ecosystems and devices. Design scalable distributed systems, mentor engineers, drive high-impact projects, write and review maintainable code, participate in on-call rotation, and collaborate cross-functionally to deliver production-grade AI-enabled features.

Join Hive to build and improve a marketing platform, focus on developing and shipping software, optimize system performance, and collaborate with teams.

Design, build, and operate backend systems and infrastructure. Work on system design, databases (SQL/NoSQL), cloud platforms, containerization, IaC, CI/CD, monitoring/logging, networking, security, and Linux fundamentals in a fast-paced startup environment.

Build and prototype state-of-the-art large language model systems and deep AI assistants, take services from ideation to production, fine-tune and compare open-source and commercial LLMs, use cloud platforms, analyze model and projection accuracy, and collaborate cross-functionally.

Lead design and evolution of large-scale, distributed systems; drive AI-assisted development adoption; define technical vision; mentor engineers; improve observability, reliability, testing, security, and developer productivity across teams.

Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.

Lead end-to-end delivery of large, cross-functional cloud and platform programs. Define scope, roadmaps, and governance; coordinate multi-team execution, releases, and operational readiness; manage risks, dependencies, and stakeholder communications; and ensure smooth transition to steady-state operations with measurable customer and operational outcomes.

Build full‑stack features that automate reporting and slide/document generation: database models, async workflows, UI components, AI insights, native charts, data sync optimizations, and integrations with BI and content platforms.

Senior pre-sales systems engineer partnering with sales to design, present, and validate enterprise storage solutions. Lead technical evaluations, benchmarks, RFP responses, and architecture presentations across on-prem and cloud environments. Advocate product positioning, interoperability testing, and customer-focused solution outcomes.