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Maintenance Tech II - Nights -$33 per hour

The Coca-Cola CompanyAuburndale, FL🇺🇸United StatesPosted 10 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Auburndale, FL, United States
Posted
17 hours ago
RoboticsComplianceContinuous Improvement

Job Description

At The Coca-Cola Company, we power world-class manufacturing to deliver beverages that refresh millions of consumers every day. This Maintenance Technician II role at our Auburndale, FL facility ensures equipment reliability and supports continuous production through skilled troubleshooting, preventive maintenance, and process improvements. If you have strong technical abilities and a passion for using data and technology to keep operations running at peak performance, this role gives you the opportunity to make a tangible impact on efficiency and quality.

WhatYou'llDo for Us

  • Troubleshoot and resolve real-time technical issues on production lines tomaintainoperational standards and minimize disruptions.

  • Repair andmaintaindiverse production equipment and systems, ensuring compliance with process requirements and product quality.

  • Respond to equipment malfunctions and emergencies promptly, supporting continuous manufacturing operations with minimal downtime.

  • Maintain and analyze maintenance records toidentifyrecurring issues, improve reliability, and inform long-term strategies.

  • Prepare technical documentation, diagrams, and reports to address reliability challenges and implement solutions aligned with best practices.

  • Utilize data management systems to track performance metrics such as Overall Equipment Effectiveness (OEE) and conduct failure analysis.

  • Support facility-wide continuous improvement initiatives that deploy new methods, tools, and technologies for enhanced productivity.

  • Execute andoptimizePreventive and Predictive Maintenance programs, applying advanced techniques to enhance equipment lifespan and performance.

  • Facilitate Equipment Criticality assessments and Failure Mode Effect Analysis (FMEA) sessions for risk identification and prevention.

  • Apply predictive technologies, including vibration analysis, thermography, oil analysis, and motor testing, to improve performance reliability.

  • Develop and update structured maintenance plans based on historical data, failure patterns, and emerging best practices.

  • Collaborate with equipment manufacturers during acceptance testing to ensure quality standards and functional compliance.

  • Create andmaintainclear Standard Operating Procedures (SOPs) to guide safe, effective execution of maintenance tasks by team members.

Requirements & Qualifications

  • High school diploma/GED or equivalent work experience

  • Minimum5+ years of maintenance experience in a manufacturing environment.

  • Reliabilityexpertisewith at least 3 years in asset performance improvement preferred.

  • Strong mechanical and electricalproficiencywithin continuous production settings.

  • Demonstrated experience working in a structured maintenance organization with planning tools and documented processes.

  • Familiarity with quality-certified environments such as ISO programs.

  • Proven ability tomonitorand improve Preventive and Predictive Maintenance performance using analytics and KPIs.

  • Skilled in industrial electrical systems, mechanical/electrical devices, circuits, robotics, PLCs, and automated equipment.

  • Proficiencyin computerized maintenance management systems (CMMS) for planning and execution.

  • Analytical strength and problem-solving skills using data tools toidentifyand implement reliability improvements.

WhatWe'llDo for You

  • Provide opportunities to work with advanced automation and predictive systems that strengthen technicalexpertiseand career growth.

  • Enable participation in digital transformation initiatives aimed at modernizing manufacturing processes.

  • Offer the chance toimpactproduction efficiency and operational excellence through structured improvement projects.

  • Support continuous learning and development in reliability engineering and smart maintenance practices.

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