
1 - 10 employees
Founded 2025
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
PHIZENIX is a talent acquisition solutions company that specializes in connecting businesses with highly skilled technology professionals. They offer services such as executive search, permanent placement, and contract staffing while also helping businesses integrate artificial intelligence into their operations to enhance performance. With a focus on cultural fit and precise matching, PHIZENIX aims to streamline the hiring process and optimize talent deployment for companies seeking to innovate and grow in the digital landscape.
🔥 53 minutes ago
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1 - 10 employees
Founded 2025
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
PHIZENIX is a talent acquisition solutions company that specializes in connecting businesses with highly skilled technology professionals. They offer services such as executive search, permanent placement, and contract staffing while also helping businesses integrate artificial intelligence into their operations to enhance performance. With a focus on cultural fit and precise matching, PHIZENIX aims to streamline the hiring process and optimize talent deployment for companies seeking to innovate and grow in the digital landscape.
• Monitor functional and PnP-enabled flows through regular, proactive pipeline health checks • Verify that test results populate correctly on the RLS PnP dashboard to ensure data integrity • Investigate pipeline failures and categorize infrastructure/deployment, UTF/PnP analyzer, and mature pipeline issues • Perform straightforward bug fixes, including deployment or execution patches • Escalate infrastructure issues through appropriate internal channels • Escalate complex or systemic issues to pipeline owners with logs and context • Collaborate with pipeline owners and XFN (Cross-Functional) DRIs on PnP trace tags and measurement-window alignment
• Proven experience in monitoring alerts and dashboards • Strong troubleshooting skills and ability to identify patterns in failure logs and suggest improvements • Ability to differentiate between infrastructure, firmware, and analyzer-specific errors • Familiarity with jest-e2e and the Unified Test Framework (UTF) preferred • Experience with internal infrastructure such as buck, sandcastle, phabricator, and internal AI tooling preferred • Ability to read and interpret CI pipeline logs effectively preferred • Ability to leverage AI tooling such as Claude Code and Metamate preferred
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