Site Reliability Engineer

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

📋 Description

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

• Enhance reliability, availability, and operational excellence for large-scale, publicly accessible software.

• Take ownership of measuring, safeguarding, and enhancing production reliability.

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

• Oversee the observability strategy across various services, including metrics, logs, traces, and alerting.

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

• Establish reviews for production readiness and enhance testing and release processes.

• Reduce manual toil through automation, self-healing systems, and heightened observability.

• Collect and analyze operating system and application metrics for performance optimization and issue diagnosis.

• Enhance platform reliability through the configuration of Terraform and Kubernetes.

• Manage and refine incident response, including defining severity levels, escalation paths, and conducting postmortems.

• Participate in on-call rotations and deliver hands-on incident assistance.

• Diagnose infrastructure and application issues while facilitating blameless root-cause analysis.

• Advocate for reliability, scalability, and security standards across services and the product platform.

• Guide architectural decisions and identify reliability risks prior to product launch.

• Set reliability standards and monitor service adherence.

• Provide technical mentorship and thought leadership to DevOps and Software Engineers.

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

⛳️ Requirements

• Demonstrated experience managing SLO/error budget initiatives and incident management for extensive production systems.

• Profound knowledge of observability platforms (e.g., Datadog) and alert design.

• Competent in using Terraform and Kubernetes on AWS.

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

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

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

🏝️ Benefits

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

• Medical, dental, and vision insurance coverage.

• 401(k) retirement plan.

• Eligibility to engage in long-term incentive programs.

• 5% travel compensation context as stated for the position.