Top AWS Jobs in Toronto

The Senior Software Engineer will develop software by writing clean, efficient code, automate tasks, and collaborate with teams to enhance products, emphasizing TDD and API development.

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

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.

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.

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.

Act as the primary bridge between Billing & Equity Analytics and stakeholders: gather and document requirements (BRDs/FRDs), manage backlog and user stories, run Agile ceremonies, validate data with basic SQL, collaborate on Tableau/AWS QuickSight dashboards, lead UAT and functional testing, and track defects in Jira to ensure billing logic aligns with analytics.

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

Build, maintain, and scale a Kubernetes-powered container platform to support high-throughput financial applications. Help transition workloads to Amazon EKS, improve container lifecycle management, monitor cluster provisioning APIs, integrate platform capabilities (service mesh, auth, load balancing), and automate solutions to increase platform reliability and multi-region stability.

As a Software Engineer, you will develop and maintain software systems, write clean code, and collaborate with team members, focusing on continuous learning and quality improvement.

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.

Lead delivery and quality of a web-based platform by translating business requirements into technical specifications, overseeing architecture across backend/front-end/databases, managing an outsourced development partner, driving Agile practices and CI/CD, enforcing QA standards, monitoring vendor performance and budgets, and aligning stakeholders to ensure scalable, secure, and timely outcomes.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.

Design, implement and maintain secure, cost-effective platform infrastructure. Improve monitoring/observability, automate operational tasks, support product teams, mentor engineers, and contribute hands-on to infrastructure code and roadmap.

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.

As Director of Engineering, Infrastructure, you will lead a team managing core infrastructure, optimizing performance, and ensuring reliability across systems while driving multi-region strategies.

Own design, development, and operation of Partner and Billing/Admin portals. Architect and implement full-stack features (React/TypeScript, Node/Next, C#/ASP.NET Core), integrate with HubSpot and ERPs, ensure reliability, security, CI/CD, monitoring, and mentor other developers while supporting stakeholders and incidents.

Own and build the data transformation layer using dbt and SQL on Trino/GCP. Design scalable data models, enforce modeling and testing standards, optimize query and ETL performance, integrate models with BI and reverse ETL, and collaborate with stakeholders to deliver reliable, auditable data products.

Build and standardize ML and AI platform patterns to move models from experimentation to production. Implement MLOps/LLMOps practices (Databricks, AWS, MLflow), deployment templates, monitoring, evaluation, governance, and secure serving. Partner with Data Engineering and Governance to version, monitor, and govern models, prompts, agents, and data products while managing cost, performance, reliability, and operational risk.

Design, build, and scale production GenAI and agentic solutions (conversational AI, RAG, agent workflows) across Databricks and AWS. Integrate AI with enterprise data, APIs, and tools securely, apply evaluation and observability, and partner with platform teams to deploy governed, measurable AI experiences.

Lead production stand-up and cutover for a Canadian AWS environment: create org-separated production account, apply Terraform modules, configure KMS/IAM/SCPs, enable CI/CD gated deploys, deploy key-custody and blockchain keys, validate runbooks, perform vendor and KYC/ComplyAdvantage integrations, execute production cutover and hyper-care.

Lead Agile teams delivering AI/ML initiatives: run Scrum ceremonies, remove impediments, manage plans/risks/dependencies, align stakeholders and executives, coordinate cross-functional AI program delivery and governance.

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.

Design, develop, test, and deploy front-end web apps and back-end services for a B2G procurement platform. Collaborate with product, support, and engineering teams to deliver features, improve performance, and document solutions. Implement SDLC and security best practices, use cloud (AWS) and testing/accessibility tools, and operate AI agentic workflows and tooling.