Top Tech Jobs & Startup Jobs in Toronto

Design and maintain UI and API automation frameworks using Selenium, Playwright, JavaScript, TypeScript, Python, and Cucumber JS. Build regression suites, integrate testing with Selenium Grid and Jenkins, validate AI-generated automation scripts, and create Devin Playbooks. Collaborate with developers on defects, support Agile planning and test strategy, and mentor junior automation engineers.

Administer and automate HPC clusters and enterprise Linux infrastructure supporting EDA and scientific computing. Develop production Ansible playbooks, provision bare-metal systems, manage enterprise storage and identity platforms, execute infrastructure migrations, create custom OS images, provision VMware environments, and produce technical documentation while coordinating across teams.

Designs, automates, configures, and deploys cloud infrastructure across AWS and Azure. Builds and manages CI/CD pipelines and release processes using Jenkins, Maven, Artifactory, Nexus, and Bitbucket. Administers Linux and Windows environments, creates Docker images, and manages scalable containerized workloads with Kubernetes, Terraform, and AWS services. Configures Azure networking, virtual machines, DNS, traffic management, and AKS clusters while prioritizing and completing tasks efficiently.

Leads hands-on data integration and engineering initiatives using Azure Databricks, Azure Data Factory, PySpark, Python, and SQL. Modernizes legacy on-premises systems into cloud-native architectures, implements Medallion Architecture and data warehousing, improves pipeline reliability and compute efficiency, develops CI/CD workflows, and mentors engineering teams delivering secure, actionable analytics for banking environments.

Automates, configures, and deploys cloud infrastructure across AWS and Azure. Builds and manages CI/CD pipelines, build and release processes, Docker containers, Kubernetes clusters, and infrastructure using Terraform. Administers Linux and Windows environments and works with Jenkins, Maven, artifact repositories, and cloud services including EC2, VPC, RDS, S3, EKS, AKS, and Azure networking.

Leads hands-on data integration and engineering initiatives using Azure Databricks, Azure Data Factory, PySpark, Python, and SQL. Modernizes legacy on-premises systems into cloud-native architectures, implements Medallion Architecture and data warehousing, improves pipeline reliability and compute efficiency, establishes CI/CD workflows, supports banking-grade security, and mentors engineering teams delivering actionable analytics.

Lead frontend and backend application development using Angular, TypeScript, JavaScript, Node.js, and related frameworks. Responsibilities include building accessible single-page applications, micro frontends, reusable UI components, backend services, database integrations, testing, and module federation architectures.

Lead real-time data integration using Azure Databricks, PySpark, Kafka, ADF, and ADLS. Build and optimize medallion-style ETL pipelines processing over 10 million daily records. Improve transformation efficiency, data quality, validation, and downstream reliability by identifying upstream data issues, implementing root-cause fixes, and collaborating with stakeholders.