2 results for Site Reliability Engineer jobs
Quality Assurance Engineer
- Calgary, AB
- onsite
- Permanent
-
80000 - 90000 CAD / Yearly
- <p><strong>THE ROLE:</strong> </p><p>We’re looking for a skilled Quality Assurance Engineer who excels in automation and thrives in a fast‑moving Agile environment. In this position, you’ll partner closely with development teams to ensure reliable, high‑quality software delivery across modern frontend and cloud-based platforms.</p><p><em>Key Responsibilities:</em></p><ul><li>Create, maintain, and optimize automated test suites for frontend applications</li><li>Build and execute end‑to‑end test automation using Playwright, TypeScript, and/or C#</li><li>Validate test coverage for React applications and ensure strong QA integration within the SDLC</li><li>Implement risk‑based testing approaches and develop robust automated regression strategies</li><li>Integrate automated tests into CI/CD pipelines (GitLab) to support smooth deployments</li><li>Perform API testing and verify integrations with external systems</li><li>Utilize cloud-based environments (AWS, Docker, Kubernetes) during test execution</li><li>Collaborate across technical and non‑technical teams and actively participate in Agile ceremonies</li></ul><p><strong>WHY THIS ROLE?</strong></p><p>This role offers the chance to shape quality standards within a modern, cloud‑driven tech environment while working with advanced automation frameworks and AI‑enhanced testing tools. You’ll be part of a collaborative team that values innovation, efficiency, and continuous improvement. You’ll enjoy competitive compensation, comprehensive benefits, and opportunities to grow your technical expertise.</p>
- 2026-05-29T00:00:00Z
Sr. Data Engineer
- Vancouver, BC
- remote
- Contract / Temporary
-
71.25 - 82.5 CAD / Hourly
- <p><strong>Position Overview</strong></p><p>We’re partnering with a Vancouver-based client currently undergoing a large-scale enterprise data platform modernization, migrating their environment to Microsoft Fabric. This is a fully remote, 6-month contract with strong potential for extension, supporting a high-impact, fast-moving migration initiative.</p><p>This is a deadline-driven project with a planned go-live at the end of August. The team is in active build mode and requires hands-on Fabric engineers who can immediately contribute to pipeline development, data transformations, and stabilizing workloads.</p><p><br></p><p>The architecture and source mappings are already defined by the internal team. This role is focused on execution, build, and optimization, not design ownership.</p><p><br></p><p><strong>What You’ll Be Doing</strong></p><p>As a Microsoft Fabric Data Engineer, you will play a key role in building and scaling the organization’s modern data platform within Fabric.</p><p>You’ll be working in a high-volume, sprint-based environment, helping migrate and operationalize data pipelines across the medallion architecture (bronze → silver → gold).</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Build and maintain data ingestion pipelines using Microsoft Fabric Data Factory to ingest data into OneLake (bronze layer)</li><li>Develop and manage data transformations (bronze → silver → gold) using PySpark and Fabric notebooks, writing to Delta lakehouse environments</li><li>Implement and structure gold-layer data models optimized for reporting and analytics</li><li>Build and support semantic models (Direct Lake / Power BI)</li><li>Translate predefined source-to-target mappings into working pipelines and transformations</li><li>Troubleshoot and resolve pipeline failures, performance issues, and data inconsistencies</li><li>Optimize Spark workloads and pipeline performance</li><li>Work within a Git-based workflow (feature branches, pull requests) no direct production deployments</li><li>Collaborate with data architects and internal teams while working within a defined architecture</li></ul>
- 2026-06-03T00:00:00Z
