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 large-scale software that is publicly accessible.

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

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

• Establish production readiness evaluations and enhance services through comprehensive testing and release protocols.

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

• Analyze metrics from operating systems and applications to optimize performance and diagnose faults.

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

• Manage and refine incident response protocols, including severity classifications, escalation procedures, and post-incident analyses.

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

• Troubleshoot infrastructure and application challenges, conduct blameless root cause investigations, and monitor corrective actions.

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

• Guide architectural choices through reliability-focused design reviews of the Cloud Platform.

• Define and uphold reliability standards while monitoring service adherence.

• Provide technical mentorship and guidance to seasoned DevOps and Software Engineers.

• Encourage operational excellence, knowledge sharing, and a culture of continuous learning.

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

⛳️ Requirements

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

• Extensive experience with observability platforms, such as Datadog, and designing alerts.

• Proficient in Terraform and Kubernetes on AWS.

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

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

• Preferred: Practical experience in utilizing or developing agentic AI tools, such as Claude Code and MCP-based integrations, with necessary guardrails and human oversight.

• Participation in on-call rotations is required.

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

🏝️ Benefits

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

• Medical, dental, and vision insurance coverage.

• 401(k) plan.

• Eligibility to engage in long-term incentive programs.

• Option for remote work.

• 5% travel requirement.