Reliability Engineer II_USA

Title: Reliability Engineer II
Location: San Leandro, CA 94577 (San Leandro Milk Plant)
Duration: 6 months (Possible Extension)
Role will be 1st Shift Monday through Friday 8am to 5pm
Payrate: $65 - $70/hr. on W2

Purpose of Position:
The Manufacturing Reliability Engineer is responsible for enhancing equipment reliability and driving a unified, plant-wide continuous improvement strategy across Maintenance, Operations, Safety, Quality, and Training. This role ensures that reliability-centered maintenance practices are implemented and sustained, while fostering collaboration across departments to reduce downtime, improve asset performance, and support a culture of operational excellence. Indirect supervision/direction for maintenance personnel as well as other support personnel in the department, in order to and ensure maintainability of equipment, processes, facilities and other systems.

Position Duties, Responsibilities and Results:
Maintenance & Reliability Engineering
Conduct root cause analysis on high-cost failures, high-downtime situations, and selected minor repetitive downtime situations that are initiated by defined triggers in order to identify options for engineering solutions.
Lead root cause analysis (RCA) and failure mode and effects analysis (FMEA) to eliminate chronic equipment issues.
Develop and optimize preventive and predictive maintenance programs using CMMS data and condition monitoring tools.
Analyze equipment performance trends and downtime data to identify reliability improvement opportunities.
Support planning and scheduling teams to ensure maintenance activities are prioritized and executed efficiently.
Collaborate with OEMs and vendors to improve equipment design, maintainability, and spare parts strategies.

Cross-Functional Continuous Improvement
Facilitate cross-departmental initiatives that align maintenance, operations, safety, quality, and training around shared performance goals.
Champion lean manufacturing and Six Sigma methodologies to reduce waste, improve process stability, and enhance equipment uptime.
Partner with safety and quality teams to ensure reliability improvements also support compliance and risk reduction.
Integrate operator care and autonomous maintenance practices into frontline training and daily routines.

Data-Driven Decision Making
Review computerized maintenance equipment history data and production downtime system data to accumulate, trend, and analyze performance data. Modify collection procedures and codes to ensure capture is complete, coordinating with maintenance supervision and production management on any system changes.
Develop KPIs and dashboards to monitor progress on reliability and continuous improvement initiatives.
Conduct life-cycle cost analysis and asset criticality assessments to guide capital investment and maintenance strategies.

Training & Culture Development
Support the development of technical training programs for maintenance and operations personnel.
Promote a culture of ownership, accountability, and proactive problem-solving across all levels of the organization.
Mentor maintenance and operations teams on reliability best practices and continuous improvement tools.
Review PPM data vs. equipment histories to identify tasks that need adjustment to frequencies or task details and verify completion quality standards are met working with the maintenance supervision.
Participate in the integrated maintenance processes to facilitate action plans that will improve the organization’s ability to reduce operating costs and improve reliability.
Utilize computerized techniques including pareto analyses and spreadsheet and graphic analysis to identify opportunities for reducing the occurrence and duration of plant productivity losses.
Determine/review equipment lubrication requirements, methods, and frequencies to optimize equipment and component operating life. Establishing a precision lubrication model.
Provide leadership in the development and implementation of predictive maintenance analysis techniques including vibration analysis, thermography scans, ultrasound techniques, corrosion analysis, and fatigue rate analysis.
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