Lead Site Reliability Engineer

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

📋 Description

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

• Enhance reliability, availability, and operational excellence for large-scale public-facing software solutions.

• Take ownership of measuring, safeguarding, and improving production reliability within the Cloud Platform team.

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

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

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

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

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

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

• Advance the platform utilizing Terraform infrastructure-as-code and Kubernetes configurations.

• Manage and refine incident response processes, including severity classifications, escalation pathways, and postmortem evaluations.

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

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

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

• Influence architectural decisions by evaluating failure modes, redundancy, scaling constraints, and alerting mechanisms.

• Establish reliability benchmarks and monitor service compliance.

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

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

⛳️ Requirements

• Proven experience managing SLO/error budget programs and incident management for extensive production systems.

• In-depth familiarity with observability platforms (e.g., Datadog) and alert design.

• Proficient in Terraform and Kubernetes on AWS.

• Comfortable interpreting, reviewing, and contributing to infrastructure code.

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

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

🏝️ Benefits

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

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• 401(k) retirement plan.

• Eligibility to participate in long-term incentive programs.

• Remote work flexibility.

• 5% travel requirement.