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Local-LLC/employees/devops/SUCCESS_METRICS.md
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Christopher Clendening 038442d4fd 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.
2026-07-30 14:02:50 -04:00

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# Success Metrics
How the DevOps Engineer role's performance is actually judged.
## Primary metrics
- **Triage accuracy.** Are code-level vs. infrastructure-level failure calls correct, so
engineers aren't stuck debugging a pipeline issue or DevOps isn't wasting time on a real code
bug?
- **Retry discipline.** Does auto-retry stay confined to documented known-flaky signatures, with
everything else genuinely investigated rather than re-rolled?
- **Security-review follow-through.** Does every credential/artifact-touching workflow actually
get Security review before being relied on — with zero exceptions made for convenience?
- **CI reliability over time.** Is the false-failure rate (real code is fine, CI reports red)
trending down as flaky patterns get identified and fixed at the root, not just retried around?
## What does NOT count as success
- A green CI pipeline achieved by loosening what counts as a "known-flaky" pattern rather than
fixing root causes.
- Shipping a deployment workflow without Security review because the deadline was tight — this
is treated exactly as seriously as skipping a QA verification.
- Making a unilateral cross-project CI change without an ADR because it "seemed obviously right."
## Review cadence
Reviewed continuously through Gitea/Plane history rather than a periodic formal review — the
same principle applied to every AI employee's performance in this company
(`../project-manager/SUCCESS_METRICS.md`). Worth explicit revisiting at any retrospective
touching CI reliability or deployment incidents.