Jobs at Workiy

Design, implement, administer, and optimize enterprise backup and recovery solutions across hybrid environments. Serve as L3 escalation for backup/storage issues, lead DR planning/testing, ensure ransomware protection, automate backup workflows, tune performance, and collaborate with infrastructure and security teams to maintain high availability and data integrity.

Remote role to design, build, and maintain scalable Azure-based data solutions for the Digital Regulatory Assurance System. Build data pipelines and analytics-ready platforms, enable reporting, regulatory compliance, governance, metadata management, security, and support future AI initiatives using Python, SQL, Databricks, Data Factory, Synapse and Git-based collaboration.

Design and enhance digital services using user-centered design and Agile practices. Produce user journeys, wireframes, prototypes, high-fidelity designs, build-ready specs, design systems, and accessibility-compliant solutions; conduct usability testing and collaborate with cross-functional product teams.

Design, build, and maintain automated test suites and frameworks (API and UI). Create test plans/cases, run functional, integration, regression, performance, load and security tests. Support CI/CD, BDD/TDD practices, metrics and dashboards, reusable components, and Agile teams; collaborate with stakeholders and support AI-enabled testing.

Design, develop, test, and deliver enterprise business applications using Microsoft .NET and C#. Collaborate with architects, analysts, and developers to implement scalable multi-tier solutions, maintain documentation and coding standards, troubleshoot complex issues, and recommend technology and process improvements. Integrate with AWS, Salesforce, DocuSign and use Entity Framework, NServiceBus, REST, WebForms; utilize Git, TeamCity, and Octopus Deploy.

Design, develop, test, and maintain scalable web applications using Java, Spring Boot, and Angular. Build RESTful APIs and microservices, create responsive front-end interfaces, perform unit testing and debugging, participate in code reviews and Agile ceremonies, and optimize performance, security, and reliability.

Lead end-to-end IT separation projects within the Quality function: plan, execute, monitor, and close projects using SDLC and Waterfall. Manage stakeholders, governance, risks, quality metrics, testing, deployments, change readiness, and cross-team coordination in a fast-paced, low-structure environment.

Design and deliver secure, scalable AI solutions using Microsoft AI technologies. Collaborate with stakeholders to discover opportunities, gather requirements, build prototypes, integrate with Microsoft 365, Azure and Power Platform, produce solution documentation, manage risks and security reviews, support deployments, and drive adoption and knowledge transfer across enterprise teams.

Lead multiple IT and OT initiatives across Engineering/Public Works and Public Safety. Manage meeting room technology and operations centre projects, collaborate with cross-functional teams, oversee governance, stakeholder engagement, change management, budgets and schedules to deliver multi-million-dollar, long-duration municipal technology projects.

Establish and run a formal QA function for Power BI reports, semantic models, and analytics solutions. Develop QA standards, test methodologies, quality gates, and release governance. Validate data from SQL Server, ETL pipelines, and Power BI, perform data profiling, DAX verification, impact analysis, and collaborate with stakeholders and developers to ensure accurate, auditable, and business-ready reporting.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.

Design, build, and deploy cloud-native frontend and backend applications integrating Generative AI and LLMs. Develop APIs/microservices on AWS, implement data engineering with Databricks/PySpark, and use containerization and CI/CD for scalable, secure solutions. Collaborate with product and engineering teams and drive best practices in AI and cloud architecture.

Lead QA for an Agentic AI platform: define and execute testing strategy, implement automation, validate LLM outputs and conversational workflows, oversee functional/integration/regression/performance testing, integrate CI/CD, mentor QA engineers, and promote quality best practices across teams.

Design, develop, and maintain scalable Python applications and services. Build and integrate RESTful APIs, work with relational and non-relational databases, implement microservices, perform unit testing, optimize performance, participate in code reviews, and support deployments using cloud platforms, containerization, and CI/CD in an Agile environment.

Support nuclear business transformation by eliciting and managing requirements, facilitating stakeholder workshops, documenting processes and use cases, and aiding testing and adoption to deliver technology solutions.

Lead strategy, development, and delivery of AI-powered products. Define product vision, prioritize features, and collaborate with engineering, stakeholders, and customers to build scalable solutions using GenAI, LLMs, agentic frameworks, AWS AI services, vector DBs, RAG, and prompt engineering while ensuring AI governance and agile delivery.

Design, develop, enhance, and maintain enterprise multi-tier applications on the Microsoft .NET platform. Collaborate remotely with stakeholders and technical teams, and occasionally work onsite in Vancouver. Deliver high-quality software solutions and support integration and deployment activities.

Design, build, and maintain cross-platform React Native mobile apps for Android and iOS. Integrate RESTful APIs, optimize performance, debug issues, collaborate with designers and backend teams, follow coding best practices, publish to app stores, and work within Agile/Scrum.

The role involves designing and integrating intelligent translation workflows using machine translation, generative AI, and prompt engineering, ensuring compliance and performance optimization.

Support a major client project by automating CI/CD pipelines, managing cloud infrastructure, writing Terraform infrastructure code, and operating containerized environments (Docker, Kubernetes) to streamline software delivery and SRE/DevOps operations.