Top AWS Jobs in Toronto

Lead and develop a team of data engineers building scalable real-time and batch pipelines and cloud data platforms. Set technical direction, manage major initiatives, and establish practices for architecture, testing, observability, reliability, and operational excellence. Partner with Product, Data Science, Analytics, and Engineering teams to deliver trusted data solutions supporting analytics, experimentation, machine learning, personalization, and high-volume marketplace experiences.

Design, build, and operate scalable real-time and batch data pipelines using Kafka, Spark, Flink, Airflow, Databricks, AWS, and dbt. Implement data quality frameworks, optimize distributed workloads, and develop reliable cloud-native data platforms. Own initiatives from architecture through production support while collaborating with Data Science, Product, Analytics, and Engineering teams. Create reusable engineering patterns, improve system scalability and performance, and maintain documentation for critical data systems.

Design, develop, and own scalable real-time and batch data pipelines using Kafka, Spark, Flink, Airflow, Databricks, and AWS. Implement data quality frameworks, oversee projects from design through long-term support, identify scalability risks, document systems, and collaborate with data science, product, and engineering teams to guide technical roadmaps.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Leads end-to-end design and delivery of Snowflake-centered data platforms, pipelines, analytics, reporting, APIs, and full-stack applications for clients. Responsibilities include solution architecture, technical implementation, data modeling, governance, performance and cost optimization, client advisory, discovery workshops, sales support, proof-of-concept development, project and team leadership, mentoring, and stakeholder communication. The role balances hands-on development with delivery leadership and business transformation across enterprise data and analytics initiatives.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Lead and grow the Core Workspaces engineering team, set technical direction, and contribute to architecture and implementation. Build reliable, extensible agentic systems involving agent execution, tool use, context management, streaming, integrations, and long-running workflows. Partner with Product and Design to improve developer experiences while coaching engineers, raising technical standards, and optimizing reliability, performance, and operability.

Design and operate scalable, cloud-native data pipelines and orchestration systems for imaging, biomarker, and healthcare data. Build Databricks and distributed processing workflows, integrate DICOM data into data lakes, and implement validation, observability, monitoring, and fault tolerance. Collaborate with data science, AI, R&D, product, and data management teams to deliver secure, compliant, reliable data for analytics and machine learning.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

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

The Principal Software Engineer will integrate AI frameworks with cloud infrastructure to enhance performance and reliability, develop prototypes, and collaborate closely with the product team to meet constraints and requirements.

Lead the design and deployment of AI multi-agent systems on cloud platforms, integrate AI models, and collaborate with a global team.

The Cloud Engineer will design and deploy cloud-based media workflows, optimize rendering environments, and integrate customer production pipelines, requiring strong technical and customer-facing skills.

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 Principal Technical Advisor/Architect will guide client executives on architectural strategies, create scalable solutions, and ensure technical alignment with business outcomes while mentoring teams and shaping advisory capabilities.

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

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

Lead development, testing, and maintenance of disaster recovery and business continuity plans. Conduct BIAs and risk assessments, define RTOs/RPOs, coordinate DR tests and remediation, implement backup and recovery solutions across on-prem, cloud, and hybrid environments, support incident recovery, ensure compliance, and train stakeholders to improve organizational resilience.

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.

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.