Jobs / United States / Abbvie INC
Lead Site Reliability Engineer - Allergan Aesthetics
Abbvie INC · 🇺🇸 Chicago, IL, US (Remote) · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 177 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 94 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Abbvie INC paid sponsored hires in similar roles7 certified filings for “Senior Data Engineer” (Database Architects) in IL: $116k–$195k, median $165k. Most were filed at wage level IV (43%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Abbvie INC
The US Department of Labor certified 177 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 94 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Abbvie INC →
About the role
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. Incident Management & Response: • 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. Standards & Architecture: • 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,