Top Automation Engineer Jobs in Calgary

Provides engineering support for industrial control systems at natural gas compression and measurement facilities. Responsibilities include troubleshooting automation systems and industrial networks, supporting field operations through rotating on-call coverage, assessing operational risks, developing automation software and HMI changes, automating maintenance activities, and defining facility improvement projects. The role also contributes to engineering standards, cybersecurity, reliability, and continuous improvement.

Design and deliver instrumentation and control systems for mining, power, oil & gas, and renewable projects. Responsibilities include PLC/DCS/HMI/SCADA architecture, instrumentation specifications, loop and wiring diagrams, industrial network and control room design, procurement support, construction/commissioning support, and multidisciplinary project coordination across project phases.

Design, program, integrate, commission, and improve automated manufacturing and product-testing systems. Lead projects from concept through commissioning, documentation, training and production hand-off. Troubleshoot controls, integrate PLCs/robots/motion/vision/safety, apply Lean principles, and support ongoing production reliability and improvement.

Build and deploy AI-powered automations across the business. Partner with teams to identify opportunities, redesign processes, integrate systems through APIs, and launch scalable workflows using LLMs, agents, and automation platforms. Document solutions, establish safeguards, enable adoption, and measure efficiency gains. The role requires strong ownership, responsible AI practices, business understanding, and hands-on experience with AI development, APIs, Python or similar languages, SQL, databases, and modern deployment tools.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

The Workflow Automation Engineer will implement telecom provisioning workflows, collaborate with the solutions team, and optimize automation processes while ensuring customer satisfaction and support.

Own and administer Salesforce and NetSuite while designing and deploying production-grade AI-driven automations and agent workflows. Ensure data governance, PHI/HIPAA compliance, release management, and quote-to-cash integrity. Partner cross-functionally to prioritize work, coach teams, document systems, and measure impact of automation on operations and revenue.

Design, develop, and maintain automated test frameworks for ERP desktop and web modules; author and execute manual and exploratory tests for Accounts Payable workflows; integrate automation into CI/CD; perform API and database validations; mentor junior engineers and report on test coverage and defect trends.

Design custom industrial machinery, automation equipment, robotic tooling, fixtures, and mechanical systems from concept through commissioning. Create CAD models, manufacturing drawings, bills of materials, and engineering documentation using GD&T and design-for-manufacturing principles. Support fabrication, machining, welding, assembly, prototyping, testing, troubleshooting, and continuous improvement while collaborating with manufacturing, controls, suppliers, project management, and technicians.

Lead automation design and implementation for integrations: build and maintain scalable Playwright E2E suites, integrate tests into CI/CD, drive UI and API test strategy, collaborate with architects and product to define acceptance criteria, support UAT, and improve QA processes and documentation.

Design, build, and maintain scalable automated workflows and integrations using platforms like n8n, Zapier, Make, or Workato. Integrate systems via APIs/webhooks, troubleshoot workflow issues, monitor performance, document processes, and support data synchronization across CRMs and business tools while collaborating with cross-functional teams.

Design, build, and maintain internal low-code/no-code automations and integrations. Create advanced Google Sheets systems, multi-step Zapier/Make automations, API/webhook integrations, and Notion knowledge/workflow hubs. Implement AI-powered workflows, identify operational bottlenecks, and document scalable systems to improve efficiency across CRM, marketing, and fulfillment processes.

Design, develop, automate, and execute tests for Ethernet, optical, hardware, and software features on Nokia networking platforms. Maintain lab testing equipment, run Linux-based regression tests, troubleshoot defects, and collaborate with software, hardware, firmware, and product management teams to qualify components and ensure conformance to requirements.

Lead QA Developer responsible for designing, building, and scaling automated test frameworks for React storefronts and backend middleware. Lead and mentor QA developers, reduce flaky tests, integrate automation into cloud CI/CD pipelines, monitor QA metrics, and improve production stability for an eCommerce platform.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Design, build, and maintain automated and manual test coverage for Salesforce customizations. Create/execute test plans, manage test environments (Sandboxes/Scratch Orgs), automate UI tests (Playwright), validate APIs (Postman), and support CI/CD and Salesforce deployment processes to ensure release quality across frequent iterations.

Maintain and build automated and manual tests for Salesforce customizations. Create and execute test plans, manage test environments (Sandboxes/Scratch Orgs), develop Playwright automation for Lightning interfaces, collaborate on QA processes and CI/CD, and validate APIs and security models to ensure release-quality Salesforce deployments.

Lead design, implementation, and optimization of end-to-end laboratory automation workflows (imaging, NGS prep, cell culture, mRNA production). Program and maintain liquid-handling platforms and scheduling software, integrate instruments with LIMS and AI pipelines, evaluate and deploy automation hardware, train users, manage vendor relationships, and develop governance, version control, and lifecycle plans for production automation.

Architect and maintain scalable Playwright-based automated test suites; collaborate with developers and product managers across the SDLC; deliver UI and API test coverage; integrate automation into CI/CD; leverage AI to accelerate QA tasks; support UAT and manual validation; improve QA processes, documentation, and observability.

Design, build, and maintain automated test frameworks and scripts. Lead test strategy, planning, and execution across functional, load, integration, security, server-side, and ETL testing. Create test artifacts, run automated tests, analyze results, report defects, participate in CI/CD, code reviews, and agile ceremonies, and drive issue resolution.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.

Serve as a technical, customer-facing TAM driving onboarding, implementation, adoption, and ongoing technical success for visual AI test automation. Lead hands-on enablement across test frameworks and CI/CD, troubleshoot complex issues, run architecture reviews, perform root-cause analysis, and advocate customer needs to Product and Engineering to reduce adoption risk and support renewals.

Lead technical onboarding, implementation, and adoption for visual AI test automation. Provide hands-on enablement across test frameworks and CI/CD, troubleshoot complex issues, run architecture reviews, drive adoption and best practices, advocate customer needs to Product and Engineering, and support renewals and expansions with technical validation.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.