Top AWS Jobs in Toronto

Develop and maintain high-performance Connected TV/OTT applications across multiple platforms, own end-to-end feature delivery, build Node.js backend services and APIs, write clean testable code, optimize performance, and collaborate with designers and product managers within Agile+AI practices.

Lead and scale the Credit onboarding engineering team to build, operate, and modernize a resilient, secure, cloud-native credit platform. Drive AI-first automation, partner with cross-functional stakeholders, improve engineering standards and execution, lead architecture decisions, mentor senior engineers, recruit talent, and deliver highly available systems at scale.

Lead design, development, and operations of scalable, distributed search microservices and platforms. Solve distributed systems and IR problems, ensure reliability and SLAs, perform incident response and postmortems, mentor engineers, and collaborate with architects and product managers to deliver search experiences.

Lead and scale GitLab's AWS and GCP marketplace and funding operations. Own marketplace processes, administer hyperscaler tooling (Tackle.io, Salesforce), drive funding initiatives (SCA, MPOPP, MCCP), resolve escalations, build AI automation agents, govern processes, manage vendor relationships, and coordinate cross-functional stakeholders to ensure accurate, scalable hyperscaler go-to-market execution.

Lead technical direction for agentic AI platforms across AWS/Azure: design architectures, establish standards and governance, ensure secure scalable cloud-native integrations, guide engineering teams, and operationalize AI solutions within a regulated enterprise.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Develop, review, and maintain full-stack .NET web applications across the FacilityOS platform. Participate in code reviews, use static analysis tools, troubleshoot staging/production issues, collaborate with engineering and project managers, and research platform improvements.

Lead architecture and technical strategy for enterprise applications: select technologies, define standards and patterns, design and integrate complex systems, ensure quality via reviews and automation, mentor teams, and drive adoption of cloud, container, and AI-enabled solutions.

As a Senior Developer, you'll design, develop, and maintain software systems, mentor juniors, ensure code quality, and collaborate with teams for scalable solutions.

Coordinate vulnerability management and remediation across enterprise Windows, Linux, and cloud environments. Analyze compliance data, prioritize risk-based remediation, maintain tracking documentation, run remediation meetings, produce dashboards/reports, and communicate risks and progress to technical and non-technical stakeholders in a consulting context.

Design and build reusable, metadata-driven data and AI engineering frameworks using Databricks and cloud-native services. Architect and deploy Delta Live Tables, Lakeflow, and orchestrated Databricks workflows for automated data processing and AI agent deployment. Implement RAG/Graph RAG solutions and agent orchestration (AgentOps, Agent-bricks, LangGraph), integrate real-time streams, manage AI agent lifecycles, and ensure governance via Unity Catalog or AWS Glue.

Lead architecture and development of an internal agentic AI research platform and automation systems. Build scalable, reliable pipelines, SDKs, APIs, and developer-facing tools; enforce engineering standards, mentor engineers, and partner with researchers to translate needs into production-ready developer tools and services.

Provide enterprise-level technical support for Proofpoint Enterprise Email Archiving: troubleshoot email/Exchange/SMTP, Windows/AD/IIS issues, manage tickets and escalations, liaise with engineering, and support customers via phone and remote sessions.

As a Solution Architect, you will act as a client-facing design authority, engaging in sales processes, refining solutions during implementation, and monitoring post-delivery quality, while also contributing to domain development.

Design, develop, and maintain server-side applications, APIs, and database schemas with a focus on scalability, performance, testing, and reliability. Collaborate with front-end, product, and DevOps teams, participate in architecture decisions, troubleshoot production issues, and support CI/CD and deployments.

The Customer Engineer will bridge technical challenges and client needs through full-stack development, enhancing customer experiences and delivering innovative solutions.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

The AI Engineer will design, develop, and deploy AI solutions in property and casualty insurance, focusing on claims processing, underwriting, and customer engagement while ensuring responsible AI practices and effective data integration.

The System Architect will oversee architectural services for Oracle Commerce Hosting, develop strategies for deployment automation, mentor junior members, and represent the organization in community forums.

Coordinate technical work in the team, ensure timely project delivery, and manage cloud server environments including AWS, Azure, and Openstack.

Design and implement scalable ETL/data pipelines using Python and Airflow; collaborate with technical and non-technical stakeholders to define requirements; build internal tools; mentor and lead small engineering pods; ensure reliable integration architecture and database schema/performance optimization; explore and apply AI technologies to enhance the platform.

Design and develop platform capabilities, optimize performance, and improve deployment processes. Collaborate on engineering quality and foster an innovative culture.

Design, build, and maintain Python-based pricing and rating services and RESTful APIs. Own features end-to-end, ensure production reliability and SLOs, improve observability, and collaborate with product, UX, and data teams to deliver scalable, secure solutions.

Design, build, and operate core control plane systems that manage customer identity, placement, replication, and lifecycle across a multi-cell distributed architecture. Improve reliability, scalability, observability, and provide infrastructure primitives and APIs. Partner with teams, respond to incidents, and ensure safe global platform operation.

The role involves designing and implementing identity solutions in a cloud environment, focusing on automations for a managed service product, particularly utilizing AWS and identity technologies.