Making experiences better with technology.
Southborough, MA
Virtusa is a global AI native engineering services company helping enterprises bridge the gap between AI hype and real-world ROI. We help organizations move from ad hoc AI adoption to fully autonomous, agentic-ready operations, unlocking the value that matters: new revenue, stronger margins, and better experiences for customers and employees. We do this by changing how work gets done. By leveraging deep domain, process, and engineering mastery, we integrate each client's operational context directly into their technology systems. Drawing on 30 years of product and platform engineering heritage, Virtusa leads by example. Our global workforce serves as its own proving ground, equipped with certified AI native engineering teams, autonomous agentic practices, and deep platform alliance partnerships. Headquartered in Southborough, Massachusetts, Virtusa serves Forbes Global 2000 leaders in financial services, healthcare, insurance, communications, media, retail, high-tech, and more.
On-site · Halifax
Develop data quality dashboards in Tableau, including visualizations, calculations, and data modeling. Write complex SQL queries and use AWS S3, Athena, and CloudTrail or log analytics to support data quality reporting; optionally build performance and operational KPI dashboards.
On-site · Halifax
Develop and execute automated tests and testing strategies to validate ETL processes, data transformations, migrations, and cloud-based data workflows. Coordinate testing activities, track and troubleshoot defects, perform regression testing, and collaborate with business, data engineering, and development teams to improve data quality and reliability.
On-site · Toronto
Design, develop, and maintain backend services and APIs for IBM Safer Payments, while leading technical design and architecture to ensure scalable, high-performing solutions. Collaborate with cross-functional teams, review code, mentor junior developers, and apply sound development, testing, documentation, and deployment practices.
On-site · Toronto
Lead the testing life cycle for enterprise data streams, migrations, conversions, and transformation processes across legacy and modern platforms. Validate files and data pipelines, develop risk-focused test and release-readiness plans, and investigate complex data defects and operational anomalies.
On-site · Toronto
Lead change management for AI-enabled transformation initiatives across Wealth Technology, including impact and readiness assessments, stakeholder engagement, and executive alignment. Develop adoption strategies, communications, role-based learning, and sustainment activities to help employees adopt new technologies and ways of working.
On-site · Toronto
Lead end-to-end delivery of complex software projects, managing scope, schedules, budgets, resources, risks, and quality. Coordinate cross-functional teams and stakeholders, oversee Agile practices and client/vendor relationships, and improve delivery frameworks and CI/CD operations.
On-site · Toronto
Manage, support, and optimize production databases across SQL Server, Sybase, Oracle, and cloud platforms, including systems supporting critical banking and trading operations. Improve performance, maintain high availability and disaster recovery, lead cloud migrations, and automate routine database administration tasks.
On-site · Toronto
Develop scalable backend applications using Java and Spring Boot, and build APIs using Python and Oracle PL/SQL. Write clean, maintainable, efficient code and collaborate with cross-functional teams.
On-site · Mississauga
Design and develop scalable, API-driven software solutions using Python frameworks and Generative AI capabilities. Integrate LLMs, prompt engineering, agents, and vector databases; support data workflows, experimentation, and troubleshooting in collaboration with cross-functional teams.
On-site · Mississauga
Design and build scalable, API-driven software solutions, including GenAI orchestration and data analytics workflows, integrating LLMs, prompt engineering, agents, and vector databases. Collaborate with cross-functional teams, experiment with new LLM capabilities, handle data-loading tasks, and troubleshoot software and design issues.
On-site · Toronto
Design and guide a production migration from Azure or AWS to Google Cloud Platform, including cloud architecture, data migration, and zero-downtime dual-write and reconciliation strategies. Advise the infrastructure team and present architecture trade-offs and risks to technical and business stakeholders at phase-gate reviews.
On-site · Toronto
Lead multiple projects from initiation through closure, managing resources, plans, schedules, budgets, risks, and delivery against business objectives. Coordinate stakeholders, monitor project performance, provide progress updates, and drive continuous improvement in project management practices.
On-site · Toronto
Design and maintain Selenium-based automated testing frameworks, and collaborate with cross-functional teams to translate requirements into technical specifications. Monitor and troubleshoot digital workplace applications, conduct quality assurance testing, and identify opportunities to improve performance and reliability.
On-site · Toronto
Lead quality assurance strategy and testing across payment processing platforms and banking interfaces, including functional, integration, regression, end-to-end, security, performance, and user acceptance testing. Mentor testing teams, manage defects and testing metrics, validate payment lifecycles, and build automated test frameworks integrated with CI/CD pipelines.
On-site · Toronto
Design and maintain Spring Boot backend services and APIs, oversee ETL data loads, and lead UAT planning, execution, and defect management. Guide junior developers, improve data-processing performance, document technical work, and promote coding best practices through reviews.
On-site · Toronto
Design, implement, and evaluate image-processing algorithms and computational photography workflows, and integrate imaging software and hardware into target devices and platforms. Tune imaging systems, assess image quality and performance, develop validation plans, and collaborate across teams to translate requirements into engineering specifications while maintaining compliance and documentation standards.
On-site · Toronto
Design and implement data pipelines using agentic patterns, LangChain, and LangGraph, and integrate data solutions with Azure AI Foundry. Evaluate data quality and performance using metrics and LLM-based judges, while supporting asynchronous Python workflows and collaborating on CI/CD and infrastructure management.
On-site · Toronto
Lead projects from initiation through closure, managing plans, schedules, budgets, resources, stakeholders, risks, and cross-functional teams. Monitor delivery and provide status updates while ensuring governance, quality, and alignment with business objectives, and driving continuous improvement.
On-site · Toronto
Lead end-to-end delivery of complex software projects, managing scope, budgets, resources, risks, quality, and client and vendor relationships. Coordinate cross-functional teams and stakeholders, facilitate Agile processes, remove delivery blockers, and improve delivery frameworks and CI/CD operations.
On-site · Toronto
Conduct manual testing of business applications, validate functionality and data integrity, and document test cases, results, and defects. Collaborate with cross-functional teams on requirements and defect prevention, support automation efforts, and contribute to QA process improvements.
