Live opening · Posted 27 days ago
At a glance
The key details from the original listing.
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About the role
Description supplied by the original job listing.
The core responsibilities for the job include the following:
Developer Tooling and CI/CD:
Maintain and improve CI/CD pipelines across core repositories, including AQM, Abacus, and Harmony.
Implement pre-commit hooks, linting, type checks, PR templates, quality gates, and pipeline observability.
Optimise pipeline runtime, reliability, caching, and required checks so engineers get fast and trustworthy feedback.
Build change-risk labelling and deployment communication workflows for high-risk changes.
Productivity and Reliability Data:
Build pipelines that pull GitHub, PagerDuty, CI/CD, deployment, and reliability data into BigQuery.
Maintain dashboards for DORA metrics, PR cycle time, MTTR, change failure rate, alert volume, SLOs, and Claude/API cost.
Build post-deploy monitoring that watches error rates, latency, and relevant quality signals after production releases.
Maintain data schemas and scheduled refreshes used by AI agents and SRE-AI workflows.
Platform Support for Agents:
Support webhook listeners, event routing, deployment, monitoring, and logging for internal agents.
Partner with the AI Agents Engineer and Sta SDET to provide clean BigQuery data for incident response, anomaly detection, and regression checks.
Document tools and runbook.
Experience
1-3 yrs
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