Top AWS Jobs in Toronto

Lead design, architecture, and delivery of enterprise-scale data platforms using Databricks and Spark. Architect Lakehouse solutions, build ETL/ELT pipelines, implement IaC and CI/CD, ensure data governance and security, mentor engineers, and partner with Fortune 500 clients from discovery through production.

Design and implement secure, scalable end-to-end IoT and edge solutions using AWS or Azure. Build fault-tolerant, high-availability cloud and edge systems, create architecture and design documentation, collaborate with cross-functional teams (data, cybersecurity), mentor developers, and guide technical direction while keeping current with IoT and cloud trends.

Design and document solution and information architectures for client engagements, drive technical design reviews, support sales and project estimating, ensure quality implementation, conduct code reviews, and create reusable delivery assets focused on automation and cloud-native solutions.

Site Reliability Engineers apply software and systems engineering to improve reliability, performance, and operability. They deploy, configure, monitor, recover, and scale services, participate in on-call rotations, evaluate products before and after releases, and spend at least half their time engineering away problems while collaborating with teammates.

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Partners with legal stakeholders to develop LLM, RAG, agentic AI, document-processing, search, evaluation, governance, security, and compliance applications. Writes tested Python or TypeScript code, manages AI infrastructure and deployment, establishes quality frameworks, and mentors legal users on no-code AI solutions while collaborating with IT and data teams.

Own AWS and Kubernetes reliability, deployments, observability, incident response, infrastructure as code, CI/CD, and compliance controls for SOC 2 and PCI-DSS. Build scalable platform foundations, AI infrastructure, and greenfield product infrastructure while improving cost efficiency, security, vendor flexibility, and deployment consistency. Participate in on-call support and partner with security and engineering teams across backend, mobile, data, ML, and AI.

Lead front-office investment technology implementations from current-state analysis and requirements through workflow design, configuration, integration, testing, training, and handover. Manage project plans, statements of work, governance, budgets, client communications, and teams of developers and consultants. Advise executive stakeholders on technology choices, operating models, data architecture, migration, quality assurance, and best practices across asset and wealth management platforms.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

This role focuses on Microservice Architecture and data management strategies for generating pricing requests and optimizing data storage in a fintech context.

The Manager of Data Operations will lead a team to ensure the reliability and scalability of data platforms, enforce operational standards, and implement CI/CD practices. Responsibilities include monitoring data quality, incident management, and collaborating with various teams to enhance data operations.

Design, build, and scale backend services and asynchronous distributed pipelines for document processing and workflow automation. Own infrastructure on AWS (including queueing systems like SQS), improve reliability, performance, and observability, integrate OCR/AI where appropriate, collaborate with product and customer teams, mentor engineers, and contribute to architecture and production APIs.

The Account Executive will drive sales of Cyera's cloud data security solutions, handle complete sales cycles, and collaborate with teams to achieve objectives.

The Software Engineer will design and build secure and scalable backend services, APIs, and integrations, collaborating with cross-functional teams to deliver impactful solutions.

As a Solutions Architect at RAVL, you'll design secure, scalable systems, contribute to API and infrastructure design, engage with clients, and guide multi-team solution delivery.

The Principal Data Engineer at RAVL will design and implement enterprise-grade data and AI platforms, mentor engineers, and influence architectural standards across teams.

As a Technical Lead, you'll guide teams in delivering software and data engineering projects, mentor engineers, and ensure technical excellence in solutions while collaborating with stakeholders.

The Data Engineer will design and manage data pipelines and architectures, ensuring data quality and security while collaborating with cross-functional teams for effective analytics and reporting.

As a Platform Engineer at RAVL, you will design and deliver cloud platforms, automate environments, implement CI/CD, and collaborate with teams to enhance developer experience.

Design, build, and maintain adversarial AI evaluation platforms and AI pipelines. Implement software engineering best practices for ML, integrate UI/UX, deploy on major cloud providers, and collaborate cross-functionally to improve model robustness and product infrastructure.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

As a Cloud CyberArk Engineer, you will implement PAM solutions in cloud environments, ensuring secure management of privileged accounts and collaborating with clients to define governance frameworks.

Lead the development of native mobile applications for iOS and Android using Swift and Kotlin, overseeing architecture and integration with hardware. Collaborate with cross-functional teams and mentor junior developers.