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Sr. Platform Engineer & IT Lead

Job in Seattle, King County, Washington, 98127, USA
Listing for: Whitepages Inc.
Full Time position
Listed on 2025-12-19
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Whitepages is hiring a Platform & IT Lead to support and grow a small a team of mid‑level engineers responsible for our production platform and internal IT systems. This is a working lead role: you will contribute directly to infrastructure engineering, provide technical direction, and help the team build good habits and strong fundamentals.

This role is perfect for an engineer who loves diving into the work, solving real operational problems, and consistently raising the engineering bar—not leading from a distance.

What You’ll Do

Platform Engineering (Majority of the Work)

  • Design, operate, and improve the cloud infrastructure behind our products, leveraging automation and AI‑assisted tooling to increase reliability and reduce manual effort.
  • Work closely with engineering to ensure systems are secure, reliable, observable, cost‑efficient, and increasingly self‑diagnosing using modern telemetry, anomaly detection, and predictive insights.
  • Lead platform projects: improving deployments, modernizing systems, automating operations, introducing AI‑enhanced workflows where appropriate (e.g., automated runbook generation, log analysis, predictive scaling, or drift detection), reducing technical debt.
  • Guide the team through issues they may not yet have the experience to solve independently using AI tools to accelerate troubleshooting while teaching engineers how to interpret and validate machine‑generated recommendations.
  • Provide clear documentation, reference architectures, and examples the team can follow.
  • Participate in on‑call and ensure the team has strong incident response practices by incorporating AI‑supported alert triage, root cause summarization, and context‑rich incident reports.

IT & Internal Operations (Supporting Function)

  • Oversee core internal IT: identity management, devices, office networking, and SaaS tools while implementing AI‑assisted monitoring, automated workflows, and security posture checks to maintain a clean, well‑managed environment.
  • Support the team in troubleshooting and maintaining reliable internal systems using AI/ML where beneficial (e.g., automated device baselines, configuration anomaly detection, or Tier‑0 helpdesk automation).
  • Maintain a simple, secure, well‑managed environment with increasing levels of automation and smart alerting for employees.

Operational Excellence & Standards

  • Set practical expectations for uptime, security, monitoring, and operational hygiene incorporating ML‑based anomaly detection, predictive capacity planning, and intelligent alert routing to reduce noise and improve response times.
  • Help the team adopt consistent processes for deployment, alerting, and incident reviews streamlining workflows with automation, templates, and AI‑powered quality checks where appropriate.
  • Teach and model strong fundamentals: clear commits, documentation, tests, ownership, while also guiding the team in responsible, safe use of AI tools (e.g., code generation, log insights, documentation assistance).
  • Ensure monitoring and capacity planning are proactive by using data‑driven insights, forecasting, and automated reporting, rather than reactive.

Team Leadership (Mid‑level Team Context)

  • Provide day‑to‑day technical mentorship and coaching, especially in areas where the team lacks senior depth, including helping engineers leverage AI tools effectively while maintaining strong judgment and architectural rigor.
  • Review designs and code to help the team make solid, predictable choices, using AI‑assisted analysis as a supplement—not a substitute—for thoughtful engineering review.
  • Give clear, timely feedback and help engineers develop stronger instincts including prudent use of automation and AI.
  • Create clarity around priorities, breaking down work so the team can progress steadily.
  • Address performance or teamwork issues early and constructively ensuring communication and collaboration remain high‑quality even with increasing automation.
  • Hire thoughtfully, focusing on strengthening the team’s core competencies and valuing candidates who demonstrate strong fundamentals and the ability to leverage modern tooling responsibly.

Cost & Vendor Management

  • Own AWS and IT‑related budgets; using…
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