Add ML and QA Engineer documentation and workflows
- Introduced ML Engineer role with detailed responsibilities, success metrics, and workflow documentation. - Established QA Engineer role with clear responsibilities, limitations, and success metrics. - Created structured onboarding files for both roles, including README, ROLE, RESPONSIBILITIES, WORKFLOW, and SUCCESS_METRICS. - Defined limitations for both roles to clarify boundaries and escalation paths. - Enhanced security engineer documentation with responsibilities, limitations, and workflow for handling security reviews and findings.
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# DevOps Engineer — Memory
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This role's own accumulated context: known-flaky CI failure signatures, infrastructure quirks
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discovered in practice, and past triage/pipeline design judgment calls. Not automatically shared
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with other roles — see `../../MEMORY.md` on the two-tier memory system. Promote anything
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company-wide to `../../memory/architecture-memory.md` or `../../memory/lessons-learned.md`
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instead of leaving it siloed here.
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## Known-flaky failure signatures
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*None recorded yet.* Document the exact failure pattern (error message, timing, which runner)
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once confirmed non-deterministic, before it becomes eligible for the auto-retry policy
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(`../../ACT_RUNNER.md`).
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## Infrastructure quirks
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*None recorded yet.* Notes about the actual Gitea/ACT Runner deployment (Linux/macOS runner
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behavior, capacity limits, environment-specific gotchas) discovered through operating them, not
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obvious from the policy docs alone.
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## Pipeline design judgment calls
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*None recorded yet.*
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```
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### YYYY-MM-DD — <short title>
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<the call made, and the situation it responded to>
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**Reasoning:** <why this approach, over the alternatives>
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```
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## Format for new entries
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```
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### YYYY-MM-DD — <short title>
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<the observation>
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**Why it matters:** <what this changes about how you triage/design going forward>
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```
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