Site Reliability Engineer II

Cision

Site Reliability Engineer managing data integrity, availability, and performance for Waystar’s infrastructure. Collaborating with engineering and product teams to ensure reliability in service delivery.

Posted 5/7/2026full-timeRemote • Kentucky, Utah • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformGrafanaKafkaKubernetesPrometheusPythonSparkSplunkTerraform

About the role

Key responsibilities & impact

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
Maintain runbooks and operational documentation
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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Competitive total rewards (base salary + bonus, if applicable)
Customizable benefits package (3 medical plans with Health Saving Account company match)
Generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays
Flexible time off for our exempt team members + 13 paid holidays
Paid parental leave (including maternity + paternity leave)
Education assistance opportunities and free LinkedIn Learning access
Free mental health and family planning programs, including adoption assistance and fertility support
401(K) program with company match
Pet insurance
Employee resource groups

ATS Keywords

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Hard Skills & Tools

SREDevOpsinfrastructure engineeringcloud platformsKubernetesTerraformCloudFormationPythonPowershelldata pipeline tools

Soft Skills

problem-solvingcommunicationcuriosityadaptabilitymentoring