Reliability Engineer - Hybrid/Remote Asset Care

Genesis Technical & Industrial Staffing; Etowah (TN); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Genesis Technical & Industrial Staffing seeks a seasoned Reliability Engineer to lead maintenance and reliability programs at our manufacturing sites. The role focuses on improving equipment reliability, availability, and maintainability through data-driven analysis and structured problem solving.

The ideal candidate has 5+ years in reliability-related roles, with knowledge of predictive maintenance, asset management, and PSM considerations.

Qualifications

• Bachelor’s degree in engineering or a related technical discipline (Mechanical Engineering preferred).
• Minimum of five (5) years of industrial experience in Reliability Engineering, Maintenance Engineering, or a related engineering role within a manufacturing environment.
• Knowledge of maintenance and reliability best practices, including predictive and condition-based maintenance technologies, asset management, and reliability improvement methodologies.
• Strong analytical and problem-solving skills with the ability to evaluate complex technical issues and develop practical, data-driven solutions.
• Proven ability to communicate effectively with personnel at all organizational levels, including plant leadership, engineering, operations, and maintenance teams.
• Ability to build trust and credibility through responsive, professional interactions and effective management of stakeholder expectations.
• Strong business acumen with the ability to interpret financial and operational data and clearly communicate the economic impact of reliability and maintenance decisions.
• Knowledge of Process Safety Management (PSM) requirements and their application within a manufacturing environment is preferred.
• Certified Maintenance & Reliability Professional (CMRP) certification is preferred.

Responsibilities

• Serve as a Reliability subject matter expert and champion the implementation of maintenance and reliability best practices across supported facilities.
• Develop, optimize, and sustain asset care strategies using reliability-centered methodologies, including Risk-Based Maintenance (RBM), Reliability-Centered Maintenance (RCM), and Failure Modes and Effects Analysis (FMEA).
• Lead efforts to improve equipment reliability, availability, and maintainability through systematic analysis and continuous improvement initiatives.
• Facilitate and lead equipment failure investigations utilizing Root Cause Analysis (RCA), 5-Why, and other structured problem-solving techniques.
• Partner with maintenance, operations, engineering, and technical resources to identify and resolve chronic equipment and process reliability issues.
• Provide technical leadership and guidance on equipment maintenance, precision maintenance practices, repair techniques, and equipment installation standards.
• Evaluate reliability improvement opportunities and develop business cases that balance risk, cost, and operational performance objectives.
• Analyze equipment performance data, maintenance history, and condition monitoring results to identify improvement opportunities and prioritize reliability initiatives.
• Develop, review, and update maintenance and reliability procedures to ensure alignment with industry standards and evolving best practices.
• Support site reliability and continuous improvement programs through training, coaching, and knowledge sharing with maintenance and operations personnel.
• Collaborate with multiple manufacturing sites to standardize reliability processes, leverage best practices, and drive sustainable improvements in asset performance.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Data-driven decisions

Education

Bachelor's degree in engineering

Job description

Genesis Technical & Industrial Staffing seeks a seasoned Reliability Engineer to lead maintenance and reliability programs at our manufacturing sites. The role focuses on improving equipment reliability, availability, and maintainability through data-driven analysis and structured problem solving.

The ideal candidate has 5+ years in reliability-related roles, with knowledge of predictive maintenance, asset management, and PSM considerations.