Staff SRE: AI-Driven Reliability & Platform Leader

WEX, Inc.

San Francisco (CA)

On-site

USD 121,000 - 151,000

Full time

9 days ago

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Job summary

WEX, Inc. is seeking a Staff Site Reliability Engineer to lead reliability strategy for a broad, high‑scale platform. You will architect mission‑critical systems, enforce SRE standards, and guide cross‑functional teams toward highly available, observable services.

A hands‑on approach to AI-enabled automation and tooling will be key to reducing toil and improving performance. You will mentor engineers and shape security and governance around AI integrations, while driving capacity planning and

Qualifications

  • 8+ years of experience with a focus on large-scale system reliability.
  • Expertise in system architecture, cloud platforms, and automation frameworks.
  • Deep knowledge of Kubernetes, service meshes, and distributed tracing.
  • Experience with monitoring/logging platforms (Grafana, ELK, Splunk).
  • Hands-on experience building AI agents and tools that integrate with ops.
  • Ability to reduce TOIL by automating repetitive operational tasks.

Responsibilities

  • Architect and oversee mission-critical systems with focus on availability and scalability.
  • Define and enforce SRE best practices and operational standards.
  • Lead cross-functional initiatives to enhance reliability, performance, and efficiency.
  • Mentor engineers on production-grade agentic solutions and AI integration.
  • Develop capacity planning and load testing strategies to mitigate risks.
  • Drive AI-enabled incident response, runbook automation, and anomaly detection.

Skills

SRE leadership
Kubernetes
Service mesh
Distributed tracing
Observability
AI agents
AI governance
Incident management

Tools

Grafana
ELK
Splunk
OpenTelemetry
Jaeger
Prometheus
Docker

Job description

WEX, Inc. is seeking a Staff Site Reliability Engineer to lead reliability strategy for a broad, high‑scale platform. You will architect mission‑critical systems, enforce SRE standards, and guide cross‑functional teams toward highly available, observable services.

A hands‑on approach to AI-enabled automation and tooling will be key to reducing toil and improving performance. You will mentor engineers and shape security and governance around AI integrations, while driving capacity planning and

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