Top AWS Jobs in Toronto

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

Architect, build, and evolve a scalable Azure-focused cloud Platform-as-a-Product. Own Platform-as-Code, CI/CD pipelines, multi-tenant secure landing zones, and self-serve modules. Provide hands‑on engineering, cross‑team collaboration with security and networking, mentorship, and drive platform innovation and governance automation.

Lead full-stack engineering for card acquisition and onboarding across mobile, web, and backend. Define technical strategy, deliver quarterly goals, mentor engineers, ensure operational reliability (monitoring, on-call, CI/CD), collaborate with product/design/analytics, and drive quality, experimentation, and scalable backend systems.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

Lead the architecture and governance of end-to-end SAP solutions, including S/4HANA transformation roadmaps, integrations, data migration, and enterprise architecture standards. Facilitate workshops, assessments, fit-gap analyses, and solution reviews; guide implementation, testing, deployment, and hypercare. Collaborate with business leaders, stakeholders, and SAP functional teams, support proposals and pre-sales, maintain architecture documentation, and mentor consultants and project teams.

Leads AI and Generative AI engagements from discovery through production, serving as the client and technical delivery lead. Combines project management with hands-on architecture and development of LLM applications, RAG pipelines, AI agents, APIs, and cloud-based services. Coordinates cross-functional teams, manages risks and delivery milestones, translates business needs into technical solutions, and oversees evaluation, monitoring, deployment, and production readiness.

Lead product strategy and roadmap for an AEC Insights & Personalization platform. Define platform capabilities, integrate LLMs/ML, partner with engineering and data science, run customer discovery, set success metrics, and drive data-driven experimentation to deliver personalized, proactive experiences across Autodesk AEC products.

Develop ETL data pipelines, scalable RESTful APIs, and microservices using cloud, big data, streaming, and database technologies. Optimize data processing and query performance, troubleshoot technical issues, ensure data integrity and security, write automated tests, review code, document APIs, and collaborate with engineering, product, analytics, infrastructure, QA, and business teams.

Design and develop scalable backend services, REST APIs, and plugin architecture for Autodesk’s AI Assistant platform. Build secure, reliable, maintainable software using automated testing and test-driven development. Collaborate with architects, product managers, DevOps, and engineering teams; participate in design reviews, mentor developers, troubleshoot complex issues, and recommend technologies that improve quality and productivity.

Designs, develops, tests, deploys, and supports enterprise integrations using Boomi across SaaS, AWS, and on-premises systems. Responsibilities include API development, connector and process troubleshooting, data mapping, performance monitoring, incident resolution, documentation, stakeholder collaboration, and mentoring junior engineers. The role requires expertise in REST, SOAP, JSON, XML, integration patterns, message queuing, and high-volume enterprise integrations.

Build and support enterprise integrations and automations using Workato and Boomi, with emphasis on Legal systems. Design APIs, SFTP connections, ETL pipelines, AI agents, MCP servers, custom scripts, and employee-facing workflow tools. Manage secure platform environments, troubleshoot production issues, and integrate CRM, HR, Finance, Supply Chain, and Legal applications. Partner with stakeholders to gather requirements and provide production support and on-call coverage.

Build and operate large-scale infrastructure and data pipeline platforms. Responsibilities include developing automation, monitoring system health, improving reliability and scalability, managing cloud infrastructure, participating in design and production readiness reviews, planning capacity, documenting processes, and responding to incidents through on-call rotations. The role requires production software development, infrastructure tooling, data streaming and storage expertise, and experience optimizing distributed systems in public cloud environments.

Coordinates end-to-end proposal and bid responses, including RFP analysis, content development, pricing coordination, compliance reviews, stakeholder communication, document production, and final submissions. Supports sales teams and solution architects by translating technical inputs into business-oriented proposals, value propositions, and solution overviews. Maintains templates and repositories, facilitates proposal meetings, and contributes to process improvement. The role requires Salesforce and cloud technology familiarity, advanced Microsoft Office skills, strong communication, and at least three years of pre-sales experience.

Supports and evolves Azure, Microsoft 365, AWS, and Citrix cloud infrastructure in a regulated financial environment. Responsibilities include incident resolution, platform administration, identity and endpoint management, security, backup and recovery, CI/CD pipelines, infrastructure as code, PowerShell automation, documentation, and technical mentorship. The role also contributes to cloud modernization, system migrations, and reliable multi-cloud operations for global teams.

Designs and operates resilient multi-cloud and on-premises infrastructure across Azure, AWS, and GCP. Responsibilities include Infrastructure as Code, automation, Kubernetes, service mesh, identity, storage, observability, SRE metrics, incident response, and reliability improvements. The role participates in on-call rotations, leads complex incidents, drives multi-team infrastructure initiatives, mentors SREs, and applies AI-assisted tooling to reduce operational toil.

Lead end-to-end technical client engagements: discovery, architecture, prototyping, and delivery of AI-enabled solutions. Design system architectures and integrations, analyze client data sources, build proofs-of-concept, guide engineering teams, run workshops, and mentor junior developers and Fellows to deliver production-ready outputs.

The Senior Site Reliability Engineer will design, optimize, and maintain MongoDB's multi-tenant distributed storage systems, ensuring reliability and operational safety while implementing automation solutions and participating in on-call support.

Supports Salesforce agile initiatives from requirements analysis through testing and implementation. Designs and configures Salesforce Service Cloud solutions, including data models, interfaces, workflows, and automation for case management and contact center operations. Documents user stories, acceptance criteria, processes, risks, and impacts; investigates issues; recommends solutions; facilitates stakeholder decisions; measures outcomes through KPIs and feedback; and coaches other business analysts.

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.

Lead backend and AI orchestration systems for CoCounsel Audit: design and operate scalable, low-latency AI workflows, integrate LLMs and retrieval systems, mentor engineers, set platform strategy, and ensure reliability, observability, and auditability at production scale.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Build and scale distributed backend services for growth infrastructure (notifications, referrals, targeting, lifecycle communications, ML ranking). Design resilient service-oriented systems on cloud, ship well-tested production code, run growth experiments/A-B tests, improve developer tooling and shared platform capabilities, and collaborate cross-functionally to deliver measurable acquisition and retention impact.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Design, build, and operationalize enterprise data solutions across AWS and Snowflake. Develop Python and DBT ETL/ELT pipelines, integrate diverse data sources, and manage Apache Airflow workflows. Contribute to data warehouses, marts, governance, catalogs, and quality initiatives while applying modern and legacy data platform expertise in an agile environment.

The Systems Engineer will design, build, and maintain AWS infrastructure, enhance CI/CD pipelines, and mentor team members while focusing on cloud optimization and automation.