Remote Senior SRE - Data & ML Platform Reliability

Datavant Corporation

Northern (KY)

Hybrid

USD 168,000 - 200,000

Full time

3 days ago
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Job summary

Datavant is seeking a Senior Site Reliability Engineer to join our Data & ML Platform team. You will help build and operate a resilient, observable, and scalable platform enabling mission‑critical data and ML workloads across the organization.

You will design reliable, cloud‑native infrastructure on AWS, advance platform observability with Datadog, and drive CI/CD for data pipelines and ML workloads using GitHub Actions and Terraform.

Qualifications

  • 6+ years in SRE, platform engineering, or DevOps roles supporting data‑intensive or ML‑powered applications.
  • AI‑native working style: daily use of Claude Code, Cursor, Copilot, or equivalent, with views on how they make a team faster.
  • Hands‑on Databricks experience, including workspace setup, cluster/job management, and integration with CI/CD and data orchestration tools. Snowflake experience is a plus.
  • Deep understanding of cloud‑native infrastructure on AWS (or similar), including VPCs, IAM, event‑driven patterns, and serverless compute.
  • Proven expertise with observability tools (especially Datadog) and architecting platform‑wide logging and monitoring solutions.
  • Strong command of CI/CD tooling, especially GitHub Actions, Terraform, and deployment automation for data systems.
  • Working knowledge in shell scripting and Python.
  • Experience building and supporting highly available, fault‑tolerant systems.
  • Excellent communication and collaboration skills; able to work effectively across teams.

Responsibilities

  • Operate and improve Databricks and Snowflake platforms lifecycle.
  • Design for reliability: architect resilient, scalable, and secure infrastructure across cloud environments.
  • Advance observability: build platform‑wide monitoring, alerting, and logging infrastructure; define SLOs/SLAs.
  • Drive CI/CD for data pipelines, ML workflows, and infra components using GitHub Actions, Terraform, and related IaC tooling.
  • Enable data flow across platforms: inter‑ and intra‑cloud data movement across Snowflake, S3, Delta Lake, and Kafka.
  • Champion event‑driven architectures: use EventBridge, SNS/SQS, and Lambda for scalable data systems.
  • Collaborate across teams: be the SRE and platform partner for analytics, data science, and product teams.
  • Contribute to strategy: influence engineering decisions on data platform architecture and ML enablement.

Skills

SRE experience
Platform engineering
CI/CD
Python scripting
Shell scripting
Communication
Cross-team collaboration
Observability

Tools

Databricks
Snowflake
AWS
GitHub Actions
Terraform
Datadog
EventBridge
Lambda

Job description

Datavant is seeking a Senior Site Reliability Engineer to join our Data & ML Platform team. You will help build and operate a resilient, observable, and scalable platform enabling mission‑critical data and ML workloads across the organization.

You will design reliable, cloud‑native infrastructure on AWS, advance platform observability with Datadog, and drive CI/CD for data pipelines and ML workloads using GitHub Actions and Terraform.

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