Top AWS Jobs in Toronto

Design and implement controlled multi-account AWS environments, provide Kubernetes solutions, develop infrastructure as code using Terraform, automate deployment processes, and collaborate with development teams to optimize infrastructure.

As an Engineering Manager at Luxury Presence, you will lead a team responsible for a key component of the product, guiding them through design, development, and delivery of reliable, scalable solutions. Responsibilities include partnering with product and design teams, improving architecture, mentoring team members, and implementing efficient processes. The company focuses on real estate marketing solutions and serves over 50,000 clients in the U.S. and Canada. Their technology stack includes React, Node, Python, Postgres, AWS, and more.

Join as a Senior Full Stack Engineer in the AI team to develop machine learning pipelines and deploy models for product lines. Collaborate with machine learning engineers, data scientists, and product managers, adhere to best practices in software development, and stay updated with the latest tools and technologies in machine learning engineering.

The Sr Engineering Manager will lead the development and implementation of a Cloud and DevSecOps strategy, design and architect secure infrastructure, integrate security controls into the DevOps pipeline, and collaborate with cross-functional teams to ensure security practices throughout the software development lifecycle.

Senior Linux AWS DevOps Engineer responsible for monitoring, managing, and improving the AWS environment, including standard Linux systems administration tasks, AWS specific tasks, backup and disaster recovery management, PostgreSQL database management, and remote team access management. This is a 100% remote position with a focus on expert skills in Linux and AWS administration.

Seeking a Senior Data Engineer to design and maintain data infrastructure and ETL processes, collaborate with the Data Analytics team, and provide BI analysis. Responsibilities include building and optimizing scalable data architectures, integrating data from diverse sources, and creating dimensional models. Must have 5-7 years of cloud experience, hands-on experience with big data technologies, and proficiency in SQL and AWS stack. Undergraduate or Masters degree in relevant fields is required.

Senior Software Engineer at Morningstar, responsible for designing, developing, and supporting technology solutions using Java, Python, AWS, and data lake technologies. Collaborate with internal/external stakeholders to ensure product quality and adherence to best practices. Take ownership of software code base, promote good development practices, and drive continuous improvement.

Looking for a Cloud Engineer (AWS, Azure, or GCP) to optimize, implement, and maintain cloud-based systems. Must have troubleshooting skills, strong communication skills, and relevant certifications.