Top AWS Jobs in Toronto

The Senior Services Consultant leads technical delivery for customers, ensuring technically sound solutions. Responsibilities include design documentation, configuring services on AWS, and training clients.

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.

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

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.

Lead the architecture and evolution of scalable ETL and data-processing systems for customer product catalogs. Design reliable distributed systems, improve throughput and latency, strengthen fault tolerance and observability, and guide technical direction across teams. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and onboarding, and help shape the engineering organization’s long-term technical vision.

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.

Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.

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 development and execution of enterprise data controls and governance. Assess controls, close gaps, implement data quality checks and monitoring, define standards and documentation, support platform migrations and AI initiatives, partner with cross-functional teams, and manage/coaching a team of data analysts to ensure regulatory-compliant, high-quality data.

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.

Designs, implements, supports, and modernizes core IT infrastructure, including Kubernetes, virtual machines, clusters, CI/CD, cloud environments, automation, monitoring, and network security. Provides technical leadership, architecture guidance, third-level escalation support, documentation, service-level governance, and infrastructure improvements. Requires collaboration across IT teams, project delivery, after-hours support, and ensuring highly available, scalable, secure, and resilient systems.

Build and scale Geolava’s spatial intelligence products across the frontend and backend. Design APIs, data models, LLM agent workflows, and production services while owning features from concept through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to solve ambiguous problems, establish engineering standards, and deliver reliable, polished systems for enterprise and government customers.

Lead the technical direction and implementation of scalable streaming and data pipeline infrastructure. Design reliable, observable distributed systems, research architectural technologies, guide cross-functional initiatives, improve platform operations, and mentor engineers across the organization. Collaborate with product and engineering stakeholders to support event streaming, messaging, analytics, and Auth0 platform scalability.

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.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

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, 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.

Conduct product and user behavior analysis, define KPIs, build dashboards and models, and design and evaluate A/B and multivariate experiments. Partner with product, lifecycle, marketing, data, and engineering teams to generate insights, improve user experiences, inform feature launches, and support growth decisions.

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.

Conduct third-party security assessments, evaluate vendor controls, document risk findings, automate GRC workflows with Python and agentic coding tools, maintain integrations across ticketing and risk platforms, and develop dashboards and reporting. Partner with Procurement, Legal, Engineering, IT, Compliance, and Privacy to support risk-informed decisions and mature security governance processes.

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.