Senior Site Reliability Engineer

Senior Site Reliability Engineer (SRE) – TAG – The Aspen Group

TAG is one of the largest and most trusted retail healthcare business support organizations. As a Senior Site Reliability Engineer at TAG, you will be responsible for ensuring the reliability, performance, and scalability of our core systems.

• Design and build highly scalable and resilient systems to support our applications and services, incorporating predictive analytics to anticipate reliability risks.
• Develop and manage Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using machine learning anomaly detection to ensure systems meet reliability targets.
• Drive improvements in system reliability, availability, and performance through proactive measures, automation, and intelligent failure prediction.
• Implement and manage comprehensive monitoring and alerting solutions, integrating with intelligent observability platforms that reduce alert noise and correlate events.
• Develop and maintain dashboards and reporting tools that provide data‑driven insights for actionable troubleshooting recommendations and performance optimization.
• Evaluate and integrate advanced monitoring tools and operational intelligence platforms to enhance observability and root cause identification.
• Lead and participate in incident response efforts, using intelligent log analysis and automated event correlation to speed up troubleshooting and root cause identification.
• Develop and maintain incident management processes incorporating automated decision support systems to improve response times and minimize service disruptions.
• Conduct post‑incident reviews, using automated pattern recognition and trend analysis to identify systemic issues and implement preventive measures.
• Analyze performance metrics and logs, supported by advanced observability tools, to detect bottlenecks and inefficiencies.
• Collaborate with development teams to implement automated profiling and optimization recommendations for code and infrastructure improvements.
• Perform capacity planning using machine learning forecasting models to ensure systems can handle current and future loads.
• Develop and implement automation solutions, including intelligent runbook automation, self‑healing systems, and automated incident triage.
• Identify and drive process improvements by applying machine learning to operational data for continuous optimization.
• Maintain documentation that includes automation and machine learning guidelines for monitoring, incident management, and SRE best practices.
• Work closely with engineering, operations, and product teams to align reliability and monitoring goals, including automation adoption strategies.
• Communicate effectively with stakeholders, providing regular updates on system health, incidents, performance improvements, and data‑driven insights.
• Foster a culture of collaboration, knowledge sharing, and automation best practices within the team and across the organization.

• Bachelor's degree in computer science or a related technical field.
• At least 5 years of experience in Site Reliability Engineering or a similar role.
• Strong proficiency in at least one programming language such as Python, Go, or C#.
• Demonstrated experience applying machine learning and automation to operational workflows such as monitoring, alerting, and incident response.
• Expertise with infrastructure as code tools such as Terraform.
• Proven experience working and monitoring container environments such as Cloud Run and Kubernetes.
• Hands‑on experience using and working within an Azure, AWS, and GCP environment (GCP preferred).
• Strong understanding of networking, distributed systems, and cloud infrastructure.
• Familiarity with intelligent monitoring platforms and operational analytics tools such as Prometheus, Grafana, Open Search, Sentry, Google Cloud Observability.
• Excellent problem‑solving skills and the ability to work independently and as part of a team.
• Experience with incident management, root cause analysis, and automated operational workflows.

Annual pay range: $129,000 – $160,000.

A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.

Mid‑Senior level

Full‑time

Health Care Provider

Hospitals and Health Care