Top AWS Jobs in Toronto

Own complex customer issues through investigation, root cause analysis, and fix validation while developing scalable full-stack SaaS applications. Collaborate with customers, support, product, and engineering teams to improve product stability and roadmap priorities. Provide technical guidance, mentor others, troubleshoot production systems, optimize performance, research technologies, and participate in on-call support.

Designs, develops, tests, and deploys high-throughput data ingestion, integration, curation, and ETL pipelines using Databricks, Scala, and PySpark. Builds near-real-time streaming, event-driven, and batch solutions on Azure or AWS, including data lakehouse architectures. Optimizes Databricks performance, troubleshoots DevOps and environment issues, performs root-cause analysis, and supports the full software development lifecycle. The role is onsite four days per week.

Design, build, and maintain full stack web applications and APIs for Investment Banking and Global Markets. Implement responsive React UIs, backend services (FastAPI/Flask/Node.js), data pipelines, microservices, and real-time data handling. Integrate generative AI/LLM APIs, ensure performance, security, testing, and monitoring, and collaborate with data scientists and stakeholders to deliver scalable, production-grade solutions.

Lead design, development, testing, implementation and support of data and AI products. Translate business requirements, provide technical direction, mentor developers, build automation and frameworks, improve delivery processes, and perform data analysis, profiling and regression testing.

Lead enterprise cloud modernization and transformation programs as a trusted advisor. Define multi-cloud/hybrid target architectures, drive legacy modernization, establish architecture guardrails, provide cloud strategy and FinOps guidance, translate strategy into delivery plans, mentor teams, and engage senior stakeholders to ensure measurable business outcomes.

Lead hands-on software development, technical design, and architecture for cross-functional, fault-tolerant applications. Own technical standards, high-level design, engineering best practices, developer experience, and lifecycle delivery. Provide technical guidance to stakeholders, improve internal frameworks and tools, and mentor junior and intermediate engineers. Collaborate within an agile team across the full Software Development Life Cycle.

The Staff Software Engineer will lead technical strategies for the Cash App Banking team, overseeing architectural decisions, mentoring engineers, and developing financial products that improve customer banking experiences.

Design and implement state-of-the-art models for ranking, recommendations, personalization, and pricing. Develop core ML platform and feature engineering systems (Zipline). Productionize research models by building ETL/ELT workflows, inference pipelines, and deployment automation. Implement MLOps, model serving, monitoring, observability, and optimize model performance SLOs and system costs.

Own end-to-end client deployments of an agentic AI healthcare automation platform. Build full-stack backend services, integrations, workflow automations, and production infrastructure using Python, TypeScript, and AWS. Lead technical demos, prototypes, workflow mapping, issue resolution, and client stakeholder relationships. Extend orchestration tools and integration libraries while translating deployment insights into platform improvements. Support healthcare integrations including HL7, FHIR, DICOM, RIS/PACS, EMR webhooks, and scheduling systems.

Lead and develop a Tooling team focused on developer experience, engineering productivity, CI/CD, deployment automation, observability, release workflows, and internal platforms. Define the tooling strategy and roadmap, partner with Infrastructure, Security, and Product Engineering, improve DORA metrics and operational reliability, and guide adoption of AI-assisted development workflows. The role also includes coaching engineers, leading cross-functional initiatives, and delivering secure, scalable platforms that reduce developer friction.

Build and enhance conversational AI and Virtual Assistant solutions for customer servicing. Develop scalable C#/.NET applications, REST APIs, microservices, React interfaces, and Azure cloud solutions. Implement CI/CD, automated testing, DevSecOps, monitoring, integrations, and technical documentation while collaborating with product, architecture, UX, and engineering teams.

Build and deploy production-grade AI solutions across AWS and Azure. Responsibilities include developing LLM, agent, and RAG applications; creating APIs, data pipelines, integrations, and CI/CD workflows; configuring cloud infrastructure and security; implementing monitoring and observability; testing model performance; and documenting deployment and operational procedures. The role collaborates with cybersecurity, cloud, data, application, and project teams to deliver reliable enterprise AI capabilities.

Designs, develops, deploys, and enhances API platform and change data capture solutions across cloud and on-premises environments. Responsibilities include API standards consulting, automation, CI/CD, Kubernetes and AWS platform infrastructure, debugging, performance testing, security, documentation, and scalability improvements. The role partners with architects, engineers, operations, governance, and global business teams while mentoring colleagues and supporting API governance and standardization.

Build performant, accessible, responsive websites and custom WordPress themes, Gutenberg blocks, and plugins from design mockups. Develop frontend interfaces using HTML, CSS/SASS, and JavaScript while troubleshooting and extending PHP, WordPress, and Drupal codebases. Collaborate with designers, consultants, and clients to refine implementations, diagnose CMS issues, and use AI tools to support project execution.

Develop, validate, deploy, monitor, and scale production-grade machine learning and deep learning solutions. Analyze structured and unstructured data, evaluate emerging technologies, and deliver business insights. Collaborate with data science, engineering, product, analytics, and business teams. Provide technical leadership through mentoring, code reviews, software design standards, coding best practices, and MLOps excellence.

Design, develop, and maintain internal automation tools, applications, infrastructure, and integrations. Automate employee lifecycle processes, identity and access management, enterprise workflows, and business application connectivity. Troubleshoot systems, support deployments and monitoring, improve security and disaster recovery, and maintain technical documentation. Collaborate with engineering teams to deliver scalable, reliable solutions that reduce manual work and improve internal operational efficiency.

Designs, develops, deploys, and scales machine learning and deep learning models. Responsibilities include integrating AI into customer applications, conducting experiments, optimizing models through quantization and distillation, building data and training pipelines, applying research findings, and contributing to system design and code reviews.

Design and build autonomous agents for pharmaceutical workflows, including orchestration, communication systems, integrations with pharmacy systems, evaluation infrastructure, observability, and real-time processing across pharmacy networks. The role involves backend-focused software engineering, cloud infrastructure, distributed systems, healthcare data standards, architectural decisions, end-to-end ownership, and occasional customer interaction.

The Software Engineer will design, develop, and maintain backend APIs, collaborate with cross-functional teams, and optimize system performance for Speechify's platform.

Own the technical direction of process automation, designing and building AWS services, event-driven workflows, scheduled jobs, and system integrations with Node.js or Python. Develop scalable solution architectures, deployment and infrastructure practices, monitoring, alerting, security, and compliance controls. Lead incident response, root cause analysis, documentation, design reviews, and engineer mentorship while partnering with business and DevOps teams.

Own and deliver high-availability, low-latency backend systems supporting authentication, verification, and fraud journeys across web and mobile. Lead quarterly goals, guide engineers through ambiguous problems, collaborate with product, design, and analytics, resolve technical and business issues, monitor system availability, improve engineering standards, support on-call operations, and develop team talent.

Senior technical leader who shapes Canada Tech strategy, drives architecture and engineering standards, mentors senior engineers, leads transformational change, and guides platform and product technical decisions to support international Card customer capabilities.

Leads the architecture, development, deployment, and optimization of machine learning and generative AI solutions for grid automation. Establishes AI/ML standards, builds cloud and edge-based platforms, develops MLOps and CI/CD practices, and delivers proof-of-concepts. Collaborates with product, R&D, and cross-functional teams to integrate intelligent capabilities into energy systems. Requires expertise in machine learning frameworks, cloud platforms, industrial IoT, power-system simulation, real-time data, and full AI/ML lifecycle delivery.

Develop and maintain infrastructure, automation, and CI/CD pipelines for building, testing, deploying, validating, and evaluating Cerebras software across cloud and datacenter environments. Create Python and shell tools, manage Docker and Kubernetes environments, support AWS-based services, and troubleshoot software quality and performance issues.

Staff Product Engineer responsible for executing complex features across multiple teams and technology stacks, including backend, frontend, and mobile. Collaborates with product, design, marketing, and data partners; optimizes scalable web applications; contributes to product strategy; and mentors engineers on technical and product judgment. The role supports Brand pillar priorities, drives improvements end to end, and promotes maintainable, high-quality software development.