Lead Site Reliability Engineer

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

📋 Description

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

• Enhance reliability, availability, and operational excellence for extensive public-facing software.

• Take ownership of how production reliability is assessed, safeguarded, and enhanced within the Cloud Platform team.

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

• Lead the observability strategy across services, encompassing metrics, logs, traces, and alerting.

• Oversee capacity planning, load testing, and resilience/chaos testing for vital public-facing services.

• Establish production readiness reviews and refine services via testing and release protocols.

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

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

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

• Manage and evolve incident response processes, including severity definitions, escalation paths, and postmortems.

• Engage in on-call rotations and deliver hands-on incident support.

• Troubleshoot infrastructure and application problems, perform blameless root cause analysis, and monitor corrective measures.

• Advocate for reliability, scalability, and security standards across technology services and platforms.

• Advise on architectural decisions and pinpoint reliability risks prior to launch.

• Define and uphold reliability standards while tracking service compliance.

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

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

⛳️ Requirements

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

• Extensive experience with observability platforms such as Datadog and alert design.

• Proficient in Terraform and Kubernetes on AWS.

• Ability to read, review, and contribute to infrastructure code.

• Strong scripting/programming capabilities, such as Python or Go, for automation and tooling.

• Preferred: hands-on experience with or in developing agentic AI tools like Claude Code or MCP-based integrations, with necessary guardrails and human oversight.

🏝️ Benefits

• Paid time off, which includes vacation, holidays, and sick leave.

• Comprehensive medical, dental, and vision insurance.

• 401(k) plan.

• Eligibility to engage in long-term incentive programs.

• 5% travel requirement associated with the role.