Lead Applied AI SRE: Reliability & Observability

Deloitte France

Tampa (FL)

On-site

USD 180,000 - 240,000

Full time

7 days ago
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Job summary

Deloitte is seeking a Lead Applied AI Site Reliability Engineer II to drive reliability, performance, and cost management across high-visibility AI workloads and platforms. You will champion observability, SRE practices, and automation, guiding teams to production-ready systems with resilient design and strong operational discipline.

This role requires deep cloud platform expertise, experience with AI/ML workloads, and a track record of mentoring engineers while delivering scalable,

Qualifications

  • Bachelor’s degree in computer science or related field (or equivalent experience).
  • 6+ years software engineering and site reliability experience in cloud-native environments.
  • 3+ years owning SLIs/SLOs/SLAs, incident command, and on-call processes.

Responsibilities

  • Own reliability, performance, and cost outcomes with clear SLOs and error budgets.
  • Lead design of observability, performance tests, and operational tooling.
  • Manage admission of systems into production with gating on reliability checks.
  • Develop and maintain automation, runbooks, and postmortems for incidents.
  • Collaborate with cross-functional teams to define objectives and ensure readiness.
  • Mentor engineers and champion blameless postmortems to drive fixes.

Skills

Cloud Platform Engineering
Observability
SRE
AI/ML
Kubernetes
Terraform
CI/CD

Tools

OpenTelemetry
Prometheus
Grafana
Datadog
Dynatrace

Job description

Deloitte is seeking a Lead Applied AI Site Reliability Engineer II to drive reliability, performance, and cost management across high-visibility AI workloads and platforms. You will champion observability, SRE practices, and automation, guiding teams to production-ready systems with resilient design and strong operational discipline.

This role requires deep cloud platform expertise, experience with AI/ML workloads, and a track record of mentoring engineers while delivering scalable,

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