Principal Site Reliability Engineer

Oracle•TX, TX

6d•$84,900 - $209,500

About The Position

The Principal Site Reliability Engineer provides operational support for Oracle Healthcare services and infrastructure. The role handles incident triage, response, technical investigation, debugging, mitigation, resolution, and root cause analysis, while documenting incidents and carrying out post-mortems to help prevent recurrence. The engineer monitors service health and performance, reports on trends, and anticipates the impact of changes. The position identifies and develops automation opportunities, tools, and scripts to monitor, analyze, mitigate, and remediate issues, including through AIOps. It also involves testing moderately complex automations and experimenting with emerging AI tools such as Codex to build proactive monitoring and automation capabilities. The engineer collaborates across the organization, contributes to process improvements, stays current with AI and AIOps trends, and coaches junior team members. The role also participates in candidate interviews and provides hiring recommendations.

Requirements

Experience with Python, Java, SQL, shell scripts, Kubernetes, databases, and public cloud.
Ability to perform incident triage, response, root cause analysis, and technical issue resolution.
Ability to use advanced investigation and debugging techniques across multiple services.
Ability to develop automation tools or scripts and test moderately complex automations.
Ability to analyze data, identify solutions, and escalate unresolved or critical issues with an assessment and potential solutions.
Ability to collaborate with business leaders, stakeholders, and customers to develop suitable solutions.
Ability to communicate and document incident, service health, and performance information.

Responsibilities

Provide operational support for technology, incidents, and issues within Oracle Healthcare services and infrastructure.
Drive and participate in on-call shifts to address issues.
Investigate and resolve technical issues spanning multiple services, using advanced investigation and debugging techniques to meet incident response, mitigation, and resolution SLAs.
Document incidents using reporting methods and perform root cause analyses, capturing information for analysis and future reference.
Perform post-mortem procedures to help prevent incident recurrence.
Identify and implement opportunities for automation.
Develop and implement designs, automation tools, or scripts to gather metrics, monitor, analyze, mitigate, or remediate issues and defects using AIOps.
Test moderately complex automations to ensure they perform tasks correctly and produce expected results.
Perform data collection, triage, technical analysis, and redirection to maintain and optimize operational and infrastructure reliability.
Proactively monitor services, maintain current knowledge of their performance, and document their condition.
Provide health and performance reporting and take appropriate action based on data trends.
Experiment with and evaluate emerging tools and technologies, including AI tools such as Codex and AIOps, to build proactive monitoring tools and automations.
Collaborate across the organization to align expectations and achieve shared objectives, ensuring proposed solutions meet stakeholder and customer needs.
Pursue learning opportunities, stay current with AI industry trends and practices, and use feedback and training to improve skills.
Coach and mentor junior team members and foster knowledge sharing.
Recommend and collaborate on process, protocol, and workflow improvements, and evaluate their impact.
Participate in candidate interviews, assess candidates, and provide hiring recommendations.