Lead Site Reliability Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Collaborate with essential stakeholders throughout the organization to address critical technical challenges for Allergan Aesthetics.

• Ensure reliability, availability, and operational excellence for large-scale software that is publicly accessible.

• Take ownership of how production reliability is assessed, safeguarded, and enhanced.

• Define and advocate for SLO/SLI frameworks and decision-making based on error budgets.

• Manage the observability strategy across services, encompassing metrics, logs, traces, and alerts.

• Lead initiatives in capacity planning, load testing, and resilience/chaos testing.

• Implement production readiness reviews and enhance services through thorough testing and release processes.

• Minimize manual work through automation, self-healing systems, and improved observability.

• Analyze operating system and application metrics for performance optimization and fault detection.

• Contribute to platform reliability enhancements using Terraform and Kubernetes configurations.

• Oversee and refine incident response processes, including severity definitions, escalation paths, and postmortems.

• Engage in on-call rotations and offer direct incident support.

• Diagnose infrastructure and application issues, conduct blameless root cause analyses, and monitor corrective measures.

• Promote standards of reliability, scalability, and security across services and the product platform.

• Provide guidance on strategic architecture decisions and reliability risks during Cloud Platform design reviews.

• Establish and uphold reliability standards while monitoring service compliance.

• Identify effective technologies and solutions for emerging challenges.

• Mentor senior-level DevOps and Software Engineers.

• Cultivate operational excellence, knowledge sharing, and ongoing learning.

• Offer technical thought leadership for strategic architecture, systems, and roadmap initiatives.

⛳️ Requirements

• Demonstrated success in managing SLO/error budget programs and incident management for large-scale production systems.

• Extensive experience with observability platforms (e.g., Datadog) and alert design.

• Proficient in Terraform and Kubernetes on AWS.

• Comfortable with reading, reviewing, and contributing to infrastructure code.

• Strong scripting/programming capabilities (e.g., Python, Go) for automation and tooling development.

• Preferred: Hands-on experience with or developing agentic AI tools (e.g., Claude Code, MCP-based integrations) to automate engineering or operational workflows, ensuring appropriate guardrails and human oversight.

• Participation in on-call rotations is required.

• Willingness to travel up to 5% of the time.

🏝️ Benefits

• Paid time off (vacation, holidays, sick leave).

• Medical, dental, and vision insurance.

• 401(k) retirement plan.

• Long-term incentive programs.

• Availability of remote work.

• Up to 5% travel.