Iris Software has been a trusted software engineering partner to several Fortune 500 companies for over three decades. We help clients realize the full potential of technology-enabled transformation by bringing together a unique blend of domain knowledge, best-of-breed technologies, and experience executing essential and critical application development engagements. Our highly-experienced talent and rightsized teams help develop core, complex, and mission-critical applications and solutions for leading enterprises across Capital Markets/Front office operations, Banking, Investment Management, Brokerage, Risk and Compliance, Insurance, Healthcare/Life Sciences, and Supply Chains/Logistics. Disclaimer: It has come to our attention that unauthorized individuals or entities are misleading the public by using our company's name, logo, and other identifying information for fraudulent purposes through www.irissoftware.org and www.irissoftware.info. Through the said websites the entity is engaging in deceptive practices, such as making false promises, and conducting unauthorized transactions in our name. The general public is hereby informed alerted about this deceptive entity to prevent any potential harm or misinformation, and are advised to not engage in any communication / transaction with the said entity, in the event that you are contacted by the said websites, you are advised to report here: https://www.irissoftware.com/careers#disclaimer
Hybrid · Toronto
Lead the development and architecture of scalable full-stack applications using Angular, Node.js, and AWS, including code reviews and technical delivery. Build and maintain CI/CD pipelines and deployment infrastructure, while collaborating with cross-functional teams to troubleshoot issues and improve performance.
Hybrid · Mississauga
Lead the development of enterprise-scale ETL/ELT pipelines and work with cloud data platforms, preferably Snowflake. Support data warehouse design, data modeling, stored procedures, tasks, dbt, and workflow orchestration.
On-site · Mississauga
Design, develop, and maintain scalable data pipelines and cloud-based data solutions, including Snowflake transformations, stored procedures, tasks, and dbt models. Collaborate with architects, analysts, and stakeholders to deliver secure, reliable data solutions and ensure data quality, accuracy, and regulatory compliance.
Hybrid · Mississauga
Develop enterprise-scale ETL/ELT pipelines and work with cloud data platforms, particularly Snowflake. Collaborate with data architects, analysts, and business stakeholders across a large program.
Hybrid · Toronto
Lead full-stack development using Angular and Node.js, with AWS experience. Work with CI/CD pipelines and infrastructure.
Hybrid · Toronto
Manipulate, transform, and analyze large datasets using Python, pandas, and polars, while optimizing code performance. Build Docker images and multi-container applications, support Kubernetes-based deployments, and work with ClickHouse or similar columnar databases for analytical workloads.
Hybrid · Toronto
Design, develop, and implement AWS cloud infrastructure, with a focus on AI/ML workloads, and build scalable environments using Amazon SageMaker for model training, deployment, and lifecycle management. Automate infrastructure provisioning with tools such as CloudFormation and Terraform, and collaborate with data science and DevOps teams to optimize AI/ML pipeline performance, cost, and scalability while meeting security and compliance standards.