Top Tech Jobs & Startup Jobs in Toronto

Provides Level 2/3 production support for mission-critical applications on Linux and OpenShift. Responsibilities include monitoring, incident and problem management, AutoSys scheduling, FeedHub integrations, certificate lifecycle management, CI/CD deployments, release management, root cause analysis, documentation, automation, and on-call support.

Provide L2/L3 production support for mission-critical banking applications on Unix/Linux. Administer WebLogic, IBM MQ, and AutoSys; monitor system health; troubleshoot performance and incidents; perform root cause analysis, deployments, patching, and configuration changes; coordinate with technical teams; and participate in on-call and major incident management while maintaining security and compliance standards.

Design, develop, and optimize scalable Azure Databricks data pipelines, lakehouse solutions, and cloud data platforms. Build batch and streaming ETL/ELT processes using Spark, PySpark, Delta Lake, Auto Loader, and Structured Streaming. Implement data modeling, SCD, CDC, governance, Unity Catalog, integrations, CI/CD, monitoring, testing, and performance tuning while collaborating with architects and stakeholders.

Build and maintain batch and streaming ETL pipelines using Databricks, Apache Spark, Azure, and Delta Lake. Develop CDC and SCD1/SCD2 solutions, data models, federated lakehouse connections, and governed Unity Catalog environments. Configure catalogs, schemas, tables, views, functions, and volumes while optimizing Spark performance through partitioning and liquid clustering. Apply data warehousing, security, CI/CD, and DevOps practices to deliver reliable cloud data platforms.

Design, develop, test, deploy, and maintain scalable full-stack banking applications. Build Java Spring Boot and Python APIs, microservices, React interfaces, database integrations, and third-party integrations. Participate in code reviews, testing, debugging, performance optimization, solution design, and technical decision-making. Support CI/CD and DevOps practices while collaborating with product, architecture, business, and cross-functional teams to deliver secure digital transformation solutions.

Leads enterprise-wide QA automation and quality engineering strategy across banking platforms. Responsibilities include transforming manual QA teams into automation-first organizations, integrating testing with CI/CD and DevOps, overseeing performance and non-functional testing, ensuring regulatory compliance, managing stakeholders, and developing QA talent. The role requires deep banking domain knowledge, hands-on automation expertise, cloud experience, and leadership of large-scale quality initiatives.

Business Systems Analyst supporting a Quantitative Risk Management platform in banking and financial services. Gathers and documents requirements, analyzes risk-management processes, develops functional specifications, and performs SQL-based validation. Coordinates with business, technology, QA, PMO, and risk teams on implementations, testing, UAT, defect resolution, regulatory compliance, audit, and post-production support. Maintains requirements and project documentation in Jira and Confluence.

Develop and maintain enterprise Power BI dashboards, reports, scorecards, semantic models, and self-service analytics solutions. Build Azure and Databricks data pipelines, perform SQL and Alteryx ETL/ELT, optimize data models and report performance, and support deployments and troubleshooting. Collaborate with stakeholders and technical teams to translate requirements into analytical solutions while ensuring data quality, governance, security, and regulatory compliance.

Lead QA for enterprise transformation and data hub integration projects across UI, API, and database layers. Define test strategies, execute functional and integration testing, validate backend data, and develop Playwright with Python automation frameworks. Coordinate onshore, offshore, vendor, and cross-functional teams; manage defects; support SIT, regression, UAT, and Agile ceremonies; and mentor QA team members.

Business Systems Analyst supporting credit risk, Expected Credit Loss, regulatory reporting, and finance transformation programs. Responsibilities include gathering requirements, translating business needs into functional and technical specifications, analyzing and mapping data, supporting system integration, validating data quality, managing traceability, and coordinating stakeholders across Risk, Finance, Data Governance, Regulatory Reporting, and Technology teams.