Jobs / United States / Sanofi US Services INC
Reliability Engineer
Sanofi US Services INC · 🇺🇸 Waterford
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 47 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 29 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 Sanofi US Services INC paid sponsored hires in similar roles3 certified filings for “Data Engineer” (Data Scientists) in MA: $114k–$148k, median $114k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% 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 — Sanofi US Services INC
The US Department of Labor certified 47 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 29 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 Sanofi US Services INC →
About the role
Job Title: Reliability Engineer • Location: Waterford, Ireland • Job Type: Permanent, Full-Time • Shift Pattern : Standard Days About the job As a Reliability Engineer, you'll be providing technical support to the Production Department on reliability improvement elements, as directed by the site's Reliability Excellence (Rx) Program. This includes the management of the production Predictive Maintenance system, building of Bill of Materials (BOMs) for Critical Fill Finish Equipment, progressing the build of critical spare parts, facilitating Failure Modes, Effects & Criticality Analysis (FMECA) events within Fill Finish, and generating/providing key data for Equipment Performance Reviews (EPRs) on critical production equipment. Ready to get started? Join a global network that powers how Sanofi delivers — seamlessly, purposefully, and at scale. In Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster. About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. Main responsibilities: Equipment Reliability & Performance • Lead reliability improvement initiatives for Fill and Finish equipment, including filling lines, lyophilizers, and ancillary equipment • Develop and implement predictive and preventive maintenance strategies to maximise equipment uptime and OEE • Conduct RCA and FMEA for equipment failures and chronic reliability issues • Monitor and analyse key performance metrics including MTBF, MTTR, and availability Maintenance Strategy & Optimisation • Review and optimise preventive maintenance schedules based on equipment criticality and failure history • Support the transition from reactive to predictive and condition-based maintenance approaches • Collaborate with maintenance teams to develop and update SOPs and work instructions Technical Support & Problem Solving • Provide technical expertise and troubleshooting support for Fill and Finish equipment issues • Work closely with production, quality, and engineering teams to resolve equipment-related constraints • Support qualification, validation, and change control activities, ensuring GMP compliance • Own and/or support Deviations, CAPAs, and Change Controls as required Data Analysis & Continuous Improvement • Collect, analyse, and report on reliability metrics and KPIs, identifying trends to drive proactive interventions • Lead or participate in continuous improvement projects using Lean and Six Sigma methodologies • Develop business cases for equipment upgrades or replacements based on reliability data Compliance & Documentation • Ensure all reliability activities comply with cGMP, FDA, EMA, and other applicable regulatory requirements • Maintain accurate documentation of reliability studies, analyses, and improvement initiatives • Support internal and external audits related to equipment reliability and maintenance About you • Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, or related field) • Significant experience in reliability engineering, preferably in pharmaceutical or sterile manufacturing environments • Demonstrated experience with Fill and Finish operations or aseptic processing is highly desirable • Strong knowledge of reliability engineering principles, methodologies, and tools (RCA, FMEA, RCM) • Proficiency in data analysis, statistical methods, and CMMS (Computerized Maintenance Management Systems) • Understanding of GMP requireme