Senior Site Reliability Engineer at Datavant
Frankfort, KY
$168,000–$200,000from the description
Aug 13, 2026
Frankfort, KY
Sep 24, 2026
What this job asks for AI summary
A Senior SRE role on Datavant's Data & ML Platform team, responsible for building and operating the reliability, observability, and CI/CD infrastructure that underpins large-scale data and machine learning workloads. The position involves hands-on ownership of Databricks and Snowflake platforms, infrastructure-as-code with Terraform, event-driven architectures on AWS, and platform-wide monitoring via Datadog — working closely with data engineers, data scientists, and application teams.
Senior level · 6+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
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
Roughly 5,600 people nationally plausibly meet what this posting asks for (software developers). range 3,400–8,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is titled 'Senior Site Reliability Engineer' but the day-to-day work — writing CI/CD pipelines, IaC with Terraform, building event-driven systems, and automating data platform deployments — is primarily software development/engineering, which is why 15-1252 was chosen over 15-1244 (systems administration). The runner-up reflects the genuine operational dimension of the role.
AWS is listed as the primary cloud with 'or similar' language; Azure and GCP are populated as alternatives accordingly. Azure also appears separately under 'What Helps You Stand Out' as a preferred skill.
The AI-native working style requirement (Claude Code, Cursor, Copilot, or equivalent) is stated in the 'What You Need to Succeed' section with firm language, so it is treated as a hard gate. The named tools are interchangeable alternatives for the same requirement.
S3, Delta Lake, Kafka, EventBridge, SNS/SQS, and Lambda appear in the responsibilities narrative rather than a formal requirements section; they are captured as preferred to reflect the team's stack context.
MLflow, Feature Stores, GPU workload orchestration, Iceberg, Glue, and Azure are listed under 'What Helps You Stand Out' (the posting's preferred/nice-to-have section). Feature Stores and GPU workload orchestration are generic concepts rather than named tools and are omitted per extraction rules.
The compensation range of $168,000–$200,000 USD is described as 'total cash compensation' and may include variable pay components beyond base salary.
No office location is specified; the role appears to be fully remote within the US. Employment sponsorship is explicitly not available.
Read the full posting
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