Lead Applied AI SRE - Reliability, Observability, AI Ops

Relha LLC; Tampa, Northern (FL, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Deloitte Technology Product Engineering seeks a Lead Applied AI Site Reliability Engineer II to drive reliability, performance, and cost optimization for high-visibility AI-powered platforms. You will lead cross-functional teams, set production standards, and gate releases using error budgets and automated reliability checks.

The role emphasizes cloud platform ownership, observability, and advanced AI fluency to operate AI workloads with full automation from discovery to production.

Qualifications

• Bachelor's degree in computer science, software engineering, data science, or related discipline.
• Proven experience in site reliability and production engineering for large-scale systems.

Responsibilities

• Own SLOs, error budgets, and runbooks for production reliability.
• Lead design of observability, performance, and resilience testing.
• Mentor engineers and set production standards across teams.
• Operate AI/agent workloads with SSDLC and automation.

Skills

Cloud engineering

Observability

Site reliability

Applied AI

Kubernetes

CI/CD

SRE mindset

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

GitHub

Datadog

Dynatrace

Job description

Deloitte Technology Product Engineering seeks a Lead Applied AI Site Reliability Engineer II to drive reliability, performance, and cost optimization for high-visibility AI-powered platforms. You will lead cross-functional teams, set production standards, and gate releases using error budgets and automated reliability checks.

The role emphasizes cloud platform ownership, observability, and advanced AI fluency to operate AI workloads with full automation from discovery to production.