Top AWS Jobs in Toronto

Designs, builds, and maintains cloud environments and CI/CD pipelines for scalable, reliable applications. Responsibilities include cloud platform assessment, infrastructure automation, container orchestration, application deployment, monitoring, vulnerability remediation, security safeguards, testing, documentation, issue tracking, and technical reporting. The role requires extensive Linux, scripting, cloud, integration, testing, and DevOps tooling experience, with at least five years supporting cloud platforms and CI/CD initiatives.

Lead backend engineering for passwordless authentication and passkey solutions. Own large features from design through deployment and monitoring, solve ambiguous distributed-systems challenges, influence technical direction, mentor engineers, and improve reliability, scalability, security, and operational excellence. Collaborate cross-functionally while leveraging observability and telemetry to troubleshoot production issues and guide decisions.

Lead delivery, technical strategy, engineering processes, cross-functional collaboration, and people management for the Accounts engineering team. Build and scale a high-performing team through hiring, coaching, and performance management while shipping high-quality fintech products. Partner with Product, Design, and leadership to align technical execution with customer and business needs, manage tradeoffs, and improve predictable delivery.

Own AWS co-sell opportunities from partner referral through contract closure. Build relationships with AWS account teams, qualify cloud modernization and application opportunities, lead business discovery, maintain accurate HubSpot and AWS ACE pipeline data, coordinate proposals and SOWs with Solutions Architects, and develop enterprise account expansion strategies. The role requires B2B technology sales experience and familiarity with partner-led channel ecosystems, with AWS and incentive-program experience preferred.

Build and scale backend systems for Lyft’s Recommendations team, including pipelines and services that use rider context and signals to surface relevant offers. Responsibilities include system design, coding, code reviews, on-call support, project delivery, engineering best practices, mentoring, and promoting AI-assisted development. The role requires Python and Go, cloud platforms, distributed systems, databases, and strong collaboration skills, with bonus experience in ML serving, recommendation systems, feature stores, or experimentation.

Lead and mentor engineering teams to design, architect, and deliver scalable, maintainable software. Drive cross-team initiatives, partner with Product and Design, participate in code reviews, promote engineering best practices, and spend time on Staff Dev Projects to reduce technical debt and explore emerging technologies.

Lead development and productionalization of a greenfield desktop automation product. Architect scalable, reliable automation workflows, ensure HIPAA-level security, support US expansion (data residency, localized auth), and experiment with AI/ML to improve automation accuracy. Mentor team members and represent the product in client and company forums.

Hands-on senior backend engineer role building and maintaining Python/Django services. Design, implement, test, deploy, and support backend features, optimize performance, debug across systems, work with large datasets, REST APIs, background jobs, and PostgreSQL. Collaborate with Product and Engineering and own features end-to-end.

Build, maintain and scale the e-commerce front end across desktop and mobile. Collaborate with design, marketing, and ops to deliver features from concept to launch, own technical infrastructure, ensure high-quality UX and customer satisfaction, and support A/B testing and DevOps workflows.

The Senior Software Engineer will develop and maintain software solutions, write efficient code, perform testing, and collaborate with teams to enhance product performance.

As a Research Machine Learning Scientist, you will develop and apply deep learning techniques on large-scale datasets while collaborating with engineers. You will also research and innovate in AI applications to improve banking services.

Lead architecture and scaling of CI/CD infrastructure for Kubernetes/Docker microservices, drive continuous deployment strategy, integrate AI-powered developer tools, collaborate with partner teams, mentor engineers, and participate in on-call rotation to maintain platform reliability.

The Software Developer will build and maintain cloud infrastructure, automate processes, enhance reliability, and support platform operations in a team environment.

Design and build end-to-end features using Python and C++; architect scalable distributed systems and performant SQL schemas; implement Docker and Kubernetes workflows on AWS; design data environments and optimize queries; integrate AI agentic tools to automate development; collaborate with cloud infrastructure to maintain resilient, cloud-native applications.

Drive Cohere's AWS-sourced and AWS-influenced partner pipeline. Define and execute partner GTM for the Enterprise Market; recruit, onboard, enable and certify partners; lead co-selling, joint pipeline generation, business planning and QBRs; relay partner feedback to product and policy teams and evangelize Cohere at events.

Work directly with strategic customers to design, build, deploy, and operate production AI and data systems on Shakudo. Responsibilities include discovery, architecture, data pipelines, RAG/agent workflows, Kubernetes/cloud deployments, production support, governance, and driving adoption and measurable business outcomes.

The role involves collaboration with teams to develop solutions, maintain quality standards, and provide technical support, focusing on full-stack development using a variety of technologies.

Join Paidiem's talent community for future opportunities in various roles including development, product management, customer success, and more.

The Full Stack Intermediate Software Developer will work on critical platform projects, focusing on product development, solution architecture, and coding best practices while collaborating with the team and ensuring application security.

Design, implement, and optimize monitoring and alerting across cloud infrastructure. Manage Extreme Cloud products, troubleshoot infra and application issues, improve deployment automation for Kubernetes microservices, enhance availability and scalability, provide 24/7 support, and participate in cloud security and compliance across distributed teams.

Design and build backend services for complex enterprise workflows, own data models and service reliability, improve scalability and observability, partner with Product, participate in design/code reviews, and mentor peers.

Design, build, and maintain Spark-based data pipelines and platform services for sales compensation calculations. Improve data modeling, reliability, observability, testing, and scalability. Partner with Product, Engineering, and Analytics to translate business requirements into deterministic, production-grade data systems and participate in design and code reviews.

Leads Wattpad’s Platform Engineering team, overseeing backend platforms supporting social, notifications, subscriptions, and coin economy features. Responsibilities include managing and mentoring engineers, setting technical direction and roadmaps, guiding architecture and code quality, coordinating project resources, collaborating with Product and business stakeholders, supporting hiring, and managing team performance and development. The role requires significant backend distributed-systems expertise and hands-on experience with APIs, application design, Unix platforms, and compiled programming languages.

Design, build, maintain, and debug APIs, services, and large-scale systems handling billions of payment and money-movement requests. Collaborate cross-functionally to deliver new features, improve engineering standards and tooling, and resolve critical production issues. Mentor engineers and contribute effectively within a distributed, hybrid team.

Design, build, and operate Rust services powering Scribd’s large-scale Content Library and core infrastructure. Own features end to end, evolve Python tooling, optimize DataFusion, Parquet, S3, caching, and PostgreSQL/Aurora systems, and strengthen governance through lineage, authorization, and deletion controls. Lead cross-functional technical projects, support platform users, mentor engineers, improve developer workflows, and maintain production reliability through observability, on-call, and incident response.