Automation Test Lead
- Hiring from
- Argentina
- Work type
- Remote
- Posted
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Test Lead – Automation
Argentina, Remote but 1st week work from office
JD:
Data Fusion - Agentic Quality Engineer. Required Qualifications: Test Engineering and Automation· Professional test engineering or SDET experience with strong automation ownership.· Ability to write and review code to the same standard as the engineers you work alongside, in Python, Java, C# or TypeScript.· Sound test design judgment: boundary analysis, data-driven testing, contract testing and non-functional testing.· Ability to write precise, testable specifications that an agent can build from without coming back for clarification.· Sound judgment about where agent autonomy is appropriate and where a human decision is mandatory.· Comfort being measured on agent autonomy coverage and rework rate alongside conventional delivery measures.
Key Responsibilities
Skills & Experience (Baseline)
- Strong Python skills and experience supporting ML or LLM‑based systems.
- Understanding of Model Ops / MLOps, especially the operational phase after deployment.
Experience with:
- Experience diagnosing and eliminating flaky tests rather than retrying them.
- Data Quality. Experience testing data pipelines and data products, not only applications.
- Familiarity with data quality tooling such as Great Expectations, dbt tests or equivalent in-house frameworks.
- Confident SQL and the ability to reason about data correctness at volume.CI/CD and Tooling.
- Experience embedding automated tests in CI pipelines so quality is enforced rather than reported afterwards.
- Experience with test environment and test data management. GitHub· Strong GitHub experience including Actions, repository management, branching strategies, pull request workflows and automation.
- Experience working in Git-based development models across multiple teams.
- Agentic Engineering and AI-Assisted Delivery: Practical experience directing AI coding agents such as Factory.ai or GitHub Copilot to produce production code, and reviewing that output critically rather than accepting it.
