Top AWS Jobs in Toronto

Build scalable end-to-end Generative AI applications using Java, Python, microservices, Angular, and React. Develop backend APIs, distributed workflows, ML model integrations, responsive enterprise interfaces, and cloud-native deployments. Own testing, CI/CD, containerization, performance, security, and fault tolerance. Collaborate with UX, product, ML, and cross-functional teams while mentoring junior developers and driving engineering best practices.

Lead enterprise-wide QA architecture and testing strategy, with emphasis on ERP-to-ERP migrations. Design automated functional, integration, performance, security, data validation, and regression testing solutions; coordinate test execution, defect triage, reporting, and issue resolution. Drive Azure DevOps and CI/CD-integrated testing, mentor QA engineers, evaluate tools, and ensure system reliability, scalability, data integrity, and business-process continuity.

Manages and improves the resilience, performance, availability, and security of critical payment applications and infrastructure. Responsibilities include AWS application operations, containerized workloads, releases, monitoring, automation, CI/CD support, incident response, root cause analysis, vulnerability remediation, performance tuning, documentation, and rotating 24/7 on-call support. The role also drives self-healing, auto-scaling, observability, rollback planning, and continuous improvement across cloud and hybrid environments.

Own end-to-end software development and delivery while leading a distributed engineering team. Responsibilities include architecture, coding, code reviews, deployment, DevOps, production reliability, security, performance, incident response, and mentoring. The manager partners with Product and Design, drives technical and product improvements, uses AI tools to enhance engineering productivity, and builds a culture of accountability, autonomy, and continuous improvement.

Build and own low-latency, highly scalable backend APIs and data systems for transaction enrichment. Design infrastructure, implement data pipelines, debug production issues, and collaborate cross-functionally to deliver reliable products processing billions of transactions.

Design and build scalable Python backend applications and RESTful APIs, develop and optimize prompts and Generative AI solutions (LLMs), integrate AI capabilities into enterprise systems, collaborate with architects and data specialists, and contribute to code reviews and continuous improvement.

Lead and mentor up to eight software engineers while managing technical projects from concept through launch. Define technical direction, architect and implement application features, improve React and API functionality, integrate large language models, maintain AWS infrastructure, review code, and improve reliability. The role also involves hiring, performance management, stakeholder collaboration, documentation, engineering processes, and resolving customer pain points.

Lead technical sales engagements for enterprise customers across Zoom’s UCaaS platform. Responsibilities include technical discovery, solution design, custom demonstrations, proofs of concept, executive presentations, RFP/RFQ support, competitive analysis, and translating customer needs into product recommendations. The role partners with enterprise account executives, product managers, and engineering teams while advocating for customers and showcasing cloud, collaboration, communications, and AI solutions.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Build and support machine learning pipelines and services across cloud and on-premise environments. Deploy, monitor, optimize, version, and retrain models using MLOps practices. Collaborate with ML engineers, data scientists, and product teams while working with AWS, Snowflake, data processing tools, and Linux systems. Contribute to scalable workflows, data privacy and compliance, code reviews, and knowledge sharing.

Owns end-to-end data infrastructure, including secure data lakes, streaming applications, data warehouse systems, replication and change data capture pipelines. Responsibilities include architecture, deployment, maintenance, performance optimization, security controls, documentation, operational runbooks, and cross-functional partnership with analytics and product teams. The role requires strategic data infrastructure thinking and production experience in SaaS or data-heavy environments.

Own Braze as the technical and product subject matter expert, developing integrations, data models, pipelines, implementations, and migrations. Partner with CRM, Marketing, Product, and Engineering teams to deliver scalable personalized engagement solutions. Monitor platform performance and deliverability, support adjacent marketing platforms, and ensure security, privacy, consent, responsible gaming, documentation, and incident-response requirements are met.

Leads finance business partnering for Global Technology Services, advising the CIO and technology leadership on budgets, forecasts, cloud costs, technology investments, capitalization, vendor spend, and cost allocation. The role oversees FP&A planning, financial reporting integrity, ROI tracking, executive decision support, and technology finance governance while managing one direct report and collaborating with corporate finance, strategy, accounting, and PMO teams.

Develop and deliver maintainable, testable, and performant web applications for consumer and enterprise clients. Responsibilities include software development, code reviews, extensive testing, researching and sharing new technologies, collaborating with teammates, and improving development workflows. The role requires strong full-stack JavaScript expertise and understanding of modern web application architecture, APIs, data storage, security, optimization, and cloud technologies.

Develop and deliver production-grade consumer and enterprise web applications using Java and Spring Boot. Responsibilities include writing maintainable and performant software, participating in code reviews, conducting extensive testing, researching development tools, and collaborating effectively with the software team. The role also involves full-stack development using frontend JavaScript frameworks, databases, APIs, security practices, and modern web application architecture.

Staff Software Engineer responsible for setting technical direction, leading complex initiatives, partnering with product and design, mentoring engineers, and owning reliability, performance, observability, and on-call operations. The role spans backend data models and asynchronous processing through frontend design systems and visualizations. Required experience includes 10+ years of full-stack software development, Ruby, PostgreSQL, React, TypeScript, scalable relational systems, and AI-assisted development practices.

Design, build, and evolve highly concurrent backend services for ecobee’s Energy Control Platform. The role involves Go-based microservices, cloud development on GCP or AWS, database architecture, systems design, automated testing, CI/CD, reliability engineering, and production operations. The engineer will influence technical direction, adopt AI-assisted development practices, mentor teammates, collaborate with Product and engineering teams, and participate in an on-call rotation.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

The Backend Engineer will build and maintain Resend's email transport infrastructure, focusing on SMTP delivery, routing, and system design for high-volume email sending. They will ensure the reliability and observability of the systems while participating in incident response.

Design, build, test, deploy, and monitor scalable software systems for client organizations. Collaborate with engineers, product managers, and designers across distributed systems, APIs, data, cloud, and user-facing applications. Use AI-assisted development and integrate AI or LLM capabilities into products while working directly with clients in a collaborative consulting environment.

Designs, deploys, and supports enterprise Azure cloud and DevOps solutions in a banking environment. Responsibilities include building CI/CD pipelines, managing Azure DevOps environments, automating infrastructure with Terraform and Bicep, supporting cloud services and container workloads, monitoring systems, troubleshooting incidents, and collaborating with technical and business stakeholders to deliver secure, reliable platforms.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Owns 4–6 enterprise client relationships and a $1M–$3M portfolio. Leads technical discovery, requirements gathering, solution alignment, roadmap planning, risk management, and cross-functional delivery coordination. Advises clients on digital platforms, commerce, cloud, integrations, analytics, and software delivery. Partners with business development on proposals and expansion opportunities while maintaining account and pipeline data in HubSpot.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Design, build, operate, and maintain critical distributed systems powering Grafana Cloud Metrics and the open-source Mimir project. Drive projects from concept through production, improve reliability and performance, contribute to roadmap and design decisions, review code, support teammates, manage releases, and participate in follow-the-sun on-call rotations. Work with cloud infrastructure, microservices, observability systems, and large-scale telemetry databases while collaborating in a remote, open-source environment.