Applied AI Site Reliability Engineer III - PxE Talent at Deloitte
Hermitage, TN
$102,500–$210,600from the description
Jul 28, 2026
Hermitage, TN
Jul 29, 2026
What this job asks for AI summary
This is a hands-on Site Reliability Engineering role at Deloitte's internal product engineering organization, focused on owning the reliability, performance, and operational integrity of large-scale, cloud-native platforms — including AI and agentic workloads. The engineer defines and manages SLOs and error budgets, builds production observability, runs chaos and performance testing, and gates system admission into production. It suits an experienced SRE or platform engineer comfortable writing automation code and operating ML/LLM workloads alongside traditional distributed systems.
Senior level · 5+ years · Bachelor's required · Full-time
Advertised as Mid, but the requirements read as Senior.
“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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
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 29, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title 'Site Reliability Engineer III' maps to a level-III designation, treated here as Mid-level advertised seniority; however, the actual requirements (5+ years overall, 3+ years SRE, AI/ML production experience, chaos engineering, FinOps) clearly support a Senior-level role.
No specific office location is named in the posting — candidates must be within commutable distance of 'select locations' but none are listed. The CBSA and state fields are left blank accordingly.
The role requires at least 3 days per week in a local office, so it is not fully remote.
The required skills list uses 'experience in most of the following' for the language/tool stack (Python, Go, Bash, Java, C#/.NET, SQL/NoSQL, Kubernetes, Terraform, ArgoCD, CI/CD, observability stacks), which technically means not all are individually hard gates. They are marked required because they appear under the Required Qualifications heading with firm language; the 'most of' qualifier is noted here for the hiring manager's awareness.
Observability tools (OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk) are listed as examples within a required qualification. Datadog is used as the primary skill with the others as alternatives to reflect the 'e.g.' framing, though any of these tools would satisfy the requirement.
SolarWinds and Splunk also appear in the observability examples list; they are captured separately as preferred given their secondary positioning in the examples.
LangFuse and LangSmith appear under 'Prior experience using methodologies & tools' — a section that reads as required qualifications but uses 'e.g.' and 'equivalent' framing, suggesting familiarity rather than mastery of a specific tool. Marked preferred accordingly.
The compensation range ($102,500–$210,600/year) is explicitly noted as not adjusted for geographic differential.
Read the full posting
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