Senior Qa Engineer – Computation Design and Automation

Autodesk Autodesk · Enterprise · Colombia · Remote

Autodesk is enhancing its AECO sector products with agentic technologies, integrating them into tools like Revit and Civil 3D. This role focuses on QA for these AI-integrated workflows, including automated testing, CI/CD integration, and validation of non-functional requirements. The engineer will also help evolve regression suites for AI features and use AI coding agents to accelerate test delivery.

What you'd actually do

  1. Build and maintain automated tests for cloud-native services: API/contract tests, and end-to-end workflow tests.
  2. Integrate automated tests into CI/CD pipelines.
  3. Perform functional, regression, integration, performance and system-level testing.
  4. Validate non-functional requirements: performance, resiliency/failure modes, and observability-driven debugging (logs/metrics/traces)
  5. Help evolve scenario-based regression suites for AI-integrated workflows (multi-step tasks, tool calls, retrieval-backed behaviors)

Skills

Required

  • 5+ years of professional experience in software development specifically as a QA Engineer
  • BS or MS in Computer Science or related technical field
  • Previous experience designing testing automation for delivery of modern web/cloud applications
  • Proven verification habits: test design, CI hygiene, disciplined incremental delivery, and strong debugging skills
  • Strong programming skills in Python, C#, and/or TypeScript/Java; you write maintainable automation code, not just scripts
  • Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.
  • Experience with Continuous Integration, Continuous Deliver, DevOps, etc
  • Experience in working in an Agile environment​
  • Experience in working with distributed team

Nice to have

  • Exposure to CAD applications and BIM workflows
  • Exposure to 3D computer graphics and/or computational geometry
  • Actively contribute to a learning-driven culture, sharing knowledge, mentoring peers, and fostering an environment of continuous growth.

What the JD emphasized

  • AI-integrated workflows
  • multi-step tasks
  • tool calls
  • retrieval-backed behaviors

Other signals

  • AI-integrated workflows
  • multi-step tasks
  • tool calls
  • retrieval-backed behaviors
  • AI coding agents