Top AWS Jobs in Toronto

Develop and maintain Java back-end systems, REST APIs, low-latency transactional services, and full-stack features using React, JavaScript, and GraphQL. Collaborate within agile teams, query application data with SQL, contribute to roadmap decisions, and apply continuous integration, automation testing, cloud, microservices, and container technologies.

Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.

Leads the architecture, development, reliability, governance, and scalability of batch and real-time data platforms. Designs pipelines, self-service tooling, observability frameworks, and disaster recovery practices; mentors data engineers; establishes engineering standards; and partners cross-functionally to enable trusted data access for analytics, data science, and product teams. The role also contributes to strategic roadmaps, platform innovation, technical debt reduction, and on-call support.

Own the technical direction and roadmap for Robinhood’s Developer Infrastructure organization. Lead Bazel-based monorepo and remote build infrastructure, large-scale CI/CD, test environments, developer platforms, and tooling across multiple languages. Drive AI and agentic systems throughout the software development lifecycle, establish technical standards, and unify four engineering teams around a long-term vision. Mentor senior engineers and influence company-wide engineering strategy.

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.

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.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Build and own Snout’s data foundation, including PostgreSQL and dbt warehouses, ingestion pipelines, dimensional models, data quality, documentation, and reliable rebuilds. Reconcile data from veterinary practice-management systems, support LLM/AI tooling, translate stakeholder needs into technical plans, and establish the foundation for a future data team and analyst.

Leads architecture, scalability, performance, and technical direction for Salesforce and Node.js enterprise applications. Manages 10–15 engineers, mentors technical staff, hires and develops talent, and partners with product and engineering leadership. Oversees engineering quality, reliability, security, deployment processes, developer experience, and integrations with external systems. Requires extensive Salesforce architecture expertise, Node.js experience, and a strong background in software engineering leadership.

Build and maintain Quora’s machine learning platform and distributed model-serving infrastructure. Develop scalable systems for recommendation and language models, optimize GPU serving latency, throughput, and cost, improve ML tooling and feature stores, and contribute to platform modernization. The role includes production deployment, collaboration with senior engineers, mentoring, and participation in an on-call rotation.

Designs end-to-end technical solutions for nesto’s mortgage cloud platform. Translates business requirements into architecture specifications, diagrams, data models, and integration plans; selects cloud services, frameworks, databases, and integration patterns; manages technical risks; ensures enterprise architecture compliance; and collaborates with engineering, product, QA, and external partners. Promotes microservices, Domain-Driven Design, and Event-Driven Architecture while mentoring engineering teams and communicating complex designs to technical and non-technical stakeholders.

Design end-to-end solution blueprints for mortgage cloud products, platform enhancements, and integrations. Translate business requirements into technical specifications, diagrams, and data models; select cloud services, tools, databases, and integration patterns; manage technical risks; and ensure compliance with enterprise architecture standards. Collaborate with engineering, product, QA, vendors, and stakeholders while advocating microservices, domain-driven design, and event-driven architecture.

Designs and implements security solutions across application, infrastructure, enterprise, and observability domains. Responsibilities include threat modeling, integrating security into development workflows, automating detection and response using AI, incident response, regulatory support, mentoring, and shaping security priorities. The role requires collaboration with engineering, product, compliance, and vendors in a regulated fintech environment.

Design, automate, and maintain scalable, secure cloud infrastructure and CI/CD pipelines. Monitor system reliability and performance, respond to incidents, conduct postmortems, enforce SLAs, plan capacity, optimize costs, and implement security and compliance practices. Collaborate with Engineering, Product, and Design teams to resolve scalability and development lifecycle challenges while driving continuous operational improvement.

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.

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.

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.

Leads enterprise sales growth for Amperity’s data and AI platform. Responsibilities include prospecting, pipeline and revenue management, account planning, consultative technical selling, executive engagement, forecasting, renewals, partner development, contract support, and cross-functional collaboration. The role requires translating complex data-platform capabilities into business outcomes, developing AI-related opportunities, maintaining Salesforce records, and achieving new business and commercial renewal targets.

Leads enterprise sales growth for Amperity’s customer data and AI platform. Responsibilities include prospecting, managing named-account sales plans, forecasting pipeline, achieving new business and renewal targets, conducting technical and consultative selling, engaging executive stakeholders, supporting negotiations, and partnering with marketing, product, professional services, finance, legal, cloud providers, systems integrators, and technology partners. The role also contributes to go-to-market strategy, messaging, customer insights, and partner-influenced opportunities.

Own the definition and launch of a greenfield iOS and Android consumer app. Develop product strategy, write specifications, coordinate engineering delivery, define success metrics, and use data, A/B testing, and user feedback to guide decisions. The role combines strong UI/UX judgment with computer vision and AI capabilities to create a polished consumer experience.

Design, deploy, and operate enterprise AI/ML solutions across AWS, including machine learning pipelines, MLOps, Generative AI, LLMs, retrieval systems, knowledge graphs, and real-time applications. The role requires production software engineering, data engineering, model monitoring, governance, security, and responsible AI expertise. The engineer will partner with stakeholders, lead technical design discussions, influence architecture, and mentor team members while supporting scalable, cloud-native AI services.

Design and build Samsara’s cloud governance platform, including IAM guardrails, security controls, compliance automation, and software supply-chain security tooling across AWS and GCP. Develop reliable distributed systems, secure CI/CD patterns, and SAST/DAST capabilities. Contribute to technical roadmaps, collaborate across infrastructure, security, compliance, and engineering teams, and communicate design tradeoffs while mentoring teammates through reviews and pairing.

Build and maintain Python-based, cloud-native data pipelines and file delivery systems on AWS. Design scalable delivery for CSV/Parquet/JSON via S3, SFTP, and data marketplaces. Implement data quality, monitoring, CI/CD, and migrate legacy feeds to cloud architecture. Contribute to web-based monitoring/configuration, documentation, reviews, and production support.

Provides expert technical support for complex software issues involving microservices, APIs, integrations, operating systems, cloud platforms, and networking. Resolves escalated cases, collaborates with Engineering and Product, analyzes ticket trends, maintains documentation, and mentors junior engineers. Builds and optimizes Zendesk workflows and support automation using tools such as Superblocks, n8n, Tines, and webhooks to improve operational efficiency and customer satisfaction.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.