Waystar is looking to support its Data Licensing team by ensuring the infrastructure and services that power its licensed data products are reliable, scalable, and maintain data integrity, availability, and performance.
Requirements
- 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.
- 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
- Experience with data pipeline tools (e.g., Apache Airflow, Kafka, Spark).
Responsibilities
- 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.
- Enhance system observability through metrics, logging, and tracing.
- Develop and maintain dashboards and alerts to proactively detect and resolve issues.
- Participate in on-call rotations and lead incident response efforts.
- Conduct root cause analysis and drive post-incident improvements.
Other
- 4–7 years of experience in SRE, DevOps, or infrastructure engineering.
- Excellent problem-solving and communication skills.
- Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation
- Competitive total rewards (base salary + bonus, if applicable)
- Customizable benefits package (3 medical plans with Health Saving Account company match)
