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# Senior Site Reliability Engineer I

- **Company:** Waystar, Inc
- **Location:** Louisville, KY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Build Automation, Microsoft Azure, Data Governance, Data Integrity, Extract Transform Load (ETL), DevOps, Distributed Systems, Monitoring of Systems, Python (Programming Language), Windows PowerShell, Reliability Engineering, Prometheus, Data Logging, Data Ingestion, Delivery Pipeline, Grafana, Apache Spark, Cloudformation, Usage Tracking, Kubernetes, Apache Kafka, Data Management, Terraform, Splunk, Data Pipelines
- **Published:** July 24, 2026
- **Apply:** https://www.louisvillegigs.net/job.asp?id=3331039311&tx=JP8781FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

We are looking for a talented and driven Site Reliability Engineering (SRE) to support our engineering team, which manages the infrastructure and services that power our Waystar products. This role is ideal for an experienced engineer who thrives in data-intensive environments and is passionate about building reliable, scalable systems that ensure data integrity, availability, and performance., * 2+ years of experience in SRE, DevOps, or infrastructure engineering.

 * Strong understanding of cloud platforms (AWS, GCP, or Azure), container orchestration (Kubernetes), and infrastructure-as-code (Terraform, CloudFormation).
 * Experience with observability tools (e.g., Prometheus, Grafana, Splunk) and CI/CD pipelines.
 * Familiarity with data platforms, ETL pipelines, and distributed systems.
 * Excellent problem-solving and communication skills.
 * Experience with Python, Powershell, and other similar languages
 * Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions
 * Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation
 * Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation

Preferred Qualifications

 * Experience with data licensing, data governance, or data compliance frameworks.
 * Exposure to data pipeline tools (e.g., Apache Airflow, Kafka, Spark).
 * Familiarity with regulatory requirements related to data usage and distribution.

## Description

As an SRE Specialist, you'll work closely with engineering, product, and data teams to ensure our data licensing platforms are resilient, observable, and continuously improving., * Design and implement reliability solutions for data ingestion, processing, and delivery pipelines.

 * Define and maintain SLIs/SLOs for data licensing services and manage error budgets.
 * Build automation for deployment, monitoring, and incident response.
 * Observability & Monitoring
 * Enhance system observability through metrics, logging, and tracing.
 * Develop and maintain dashboards and alerts to proactively detect and resolve issues.
 * Incident Response & Postmortems
 * Participate in on-call rotations and lead incident response efforts.
 * Conduct root cause analysis and drive post-incident improvements.
 * Maintain runbooks and operational documentation.
 * Collaboration & Continuous Improvement
 * Partner with software and data engineers to embed reliability into system design.
 * Contribute to blameless postmortems and reliability reviews.
 * Share knowledge and mentor junior team members.


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