MetLife · Cary, NC

Salary
$150,000–$210,000from the description
Posted
Jul 7, 2026
Location
Cary, NC
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A team lead role within a Site Reliability Engineering function at an enterprise scale, responsible for setting and enforcing reliability standards, overseeing production readiness, and managing both a central SRE team and embedded SREs across application portfolios. Day-to-day work involves driving incident reviews, reducing manual operational toil through automation, improving observability and alerting, and leading adoption of AI-driven operations tools. Suits an experienced SRE or reliability engineering leader comfortable influencing cross-functional teams in large, complex environments.

Senior level · 8+ years · National · Full-time

Must have (3)
observabilitydistributed systemsSLO/SLI
Nice to have (5)
KubernetesCI/CDAIOpsServiceNowcloud, AWS, Azure or GCP

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (5)

This role is titled 'SRE Team Lead' with no explicit seniority level in the title; the title states no level accordingly.

The role has team-lead responsibilities (governing forward-deployed SREs, leading the central SRE team) but the JD does not describe formal people-management duties such as hiring, performance reviews, or budget ownership — it reads as a senior technical lead rather than a people manager, so 15-1252 is preferred over 11-3021. 15-1244 is the runner-up given the strong operational/production-support framing, but the emphasis on automation, engineering fixes, and self-healing systems tips the balance toward software development.

Observability (logs, metrics, traces), distributed systems, and SLO/SLI design are explicitly called out under Required Qualifications with firm language.

Kubernetes, CI/CD, AIOps platforms, ServiceNow, and cloud experience all appear under Preferred Qualifications and are marked accordingly.

'Cloud' is listed as a preferred skill with no specific provider named; AWS, Azure, and GCP are listed as common substitutes.

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