Lead Site Reliability Engineer - Allergan Aesthetics

Lead Site Reliability Engineer - Allergan Aesthetics

• Full-time
• Salary Min: 141500
• Therapy Area: Aesthetics
• Salary Max: 268500
• Workday Global Grade: 20
• Travel: Yes, 5% of the Time
• Compensation: USD 141,500 - USD 268,500 - yearly

About AbbVie

At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit Follow Allergan Aesthetics on LinkedIn.

The Lead Site Reliability Engineer will continuously collaborate with key stakeholders across the business to solve critical technical problems for Allergan Aesthetics. You will be a hands-on technical leader driving reliability, availability, and operational excellence for large-scale public-facing software. As part of the Cloud Platform team, you will own how we measure, protect, and improve production reliability — championing SRE practices, building resilience into our platform, and ensuring our services meet the availability and performance standards our customers expect. You will provide technical thought leadership, mentor engineers across the organization, and turn small ideas into high-fidelity technical game plans that achieve both reliability and business goals.

Reliability Engineering:

• Define and champion SLO/SLI frameworks and error budget-based decision making to drive prioritization between reliability and feature work.
• Own observability strategy across services — metrics, logs, traces, and alerting — ensuring signals are actionable and tied to user impact.
• Lead capacity planning, load testing, and resilience/chaos testing for critical public-facing services.
• Establish production readiness reviews and partner with development teams to improve services through rigorous testing and release procedures.
• Identify and eliminate toil through automation, self-healing systems, and improved observability.
• Gather and analyze metrics from operating systems and applications to drive performance tuning and fault finding.
• Contribute reliability improvements to the platform through infrastructure-as-code (Terraform) and Kubernetes configuration, working within Cloud Platform team standards.
• Own and evolve the incident response process, including severity definitions, escalation paths, and postmortem practice.
• Participate in on-call rotations and provide hands-on support during incidents with appropriate urgency.
• Troubleshoot and resolve infrastructure and application issues, driving blameless root cause analysis and tracking corrective actions to completion.
• Champion reliability, scalability, and security standards across AA Tech services and the AA Tech product platform.
• Partner and inform strategic architecture decisions for new services and major platform changes for reliability risks (failure modes, redundancy, scaling limits, alerting) before launch as part of Cloud Platform design reviews.
• Define and maintain reliability standards (e.g., SLO coverage, alerting, runbooks, backup and recovery requirements) and track how services meet them
• Stay current with the latest trends in site/service reliability practices and tooling. Identify proven technologies and solutions for emerging challenges.

Technical Mentorship:

• Provide technical mentorship and guidance to senior-level DevOps and Software Engineers utilizing proven design patterns and experience building large-scale public-facing software.
• Foster a culture of operational excellence, knowledge sharing, and continuous learning across the engineering organization.
• Provide technical thought leadership to implement strategic architecture, systems, and projects on the roadmap.
• Proven track record running SLO/error budget programs and incident management for large-scale production systems.
• Deep experience with observability platforms (e.g., Datadog) and alert design.
• Working proficiency with Terraform and Kubernetes on AWS; comfortable reading, reviewing, and contributing infrastructure code.
• Strong scripting/programming skills (e.g., Python, Go) for automation and tooling.

Preferred:

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

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.