Site Reliability Engineer II

This is a fully remote position, open to applicants in Kentucky, +1 more state.

📋 Description

• Design and develop reliability solutions for data ingestion, processing, and delivery pipelines.

• Establish and uphold SLIs/SLOs for data licensing services while managing error budgets.

• Create automation for deployment, monitoring, and incident response.

• Improve system observability through metrics, logging, and tracing.

• Build and maintain dashboards and alerts to proactively identify and address issues.

• Engage in on-call rotations and spearhead incident response initiatives.

• Perform root cause analysis and facilitate post-incident enhancements.

• Keep runbooks and operational documentation current.

• Collaborate with software and data engineers to integrate reliability into system design.

• Contribute to blameless postmortems and reliability assessments.

• Share expertise and mentor junior team members.

⛳️ Requirements

• A minimum of 2 years of experience in SRE, DevOps, or infrastructure engineering.

• In-depth knowledge of cloud platforms (AWS, GCP, or Azure), container orchestration (Kubernetes), and infrastructure-as-code (Terraform, CloudFormation).

• Proficient with observability tools (e.g., Prometheus, Grafana, Splunk) and CI/CD pipelines.

• Familiarity with data platforms, ETL pipelines, and distributed systems.

• Strong problem-solving and communication abilities.

• Experience with Python, PowerShell, and similar programming languages.

• Active utilization of artificial intelligence (AI) tools and techniques to enhance performance, foster innovation, and improve decision-making across business functions.

• Capability to leverage AI tools and platforms to optimize workflows, enhance decision-making, and drive innovation.

• Demonstrated curiosity and adaptability in exploring new AI technologies, with a commitment to 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).

• Understanding of regulatory requirements related to data usage and distribution.

🏝️ Benefits

• 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 non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays.

• Flexible time off for 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.