A Reliability Engineer focused on RCA and FMEA hunts down the true causes of failures and eliminates them before they happen again. They lead high-impact investigations, turn data into clear actions, and drive measurable improvements in uptime and performance. This role also gets ahead of problems by identifying risks early through FMEA and building smarter, more reliable systems. If you enjoy solving complex problems, influencing decisions, and delivering real results at scale, this is where you do it.

This role may require up to 50% travel.

Key job responsibilities • Lead Root Cause Analysis (RCA) for high-impact and recurring failures, driving deep-dive investigations to identify true root causes and ensure effective, lasting corrective actions

• Develop, maintain, and continuously improve Failure Modes and Effects Analysis (FMEA) to proactively identify risks, prioritize mitigation, and prevent future failures

• Analyze equipment and operational data to identify trends, systemic issues, and performance gaps, translating findings into actionable reliability improvements

• Build and maintain BI dashboards, automated reports, and performance metrics (e.g., uptime, MTBF, failure rates) to enable data-driven decision-making • Lead cross-functional execution of reliability improvements by partnering with operations, engineering, maintenance, and external vendors across multiple sites and regions

• Drive development and enhancement of RCA/FMEA tools and software by working closely with DevOps and technical teams, including requirements gathering, testing, and user feedback

• Establish and standardize reliability best practices, while supporting policy creation, training, and organizational adoption of RCA and FMEA methodologies

A day in the life In this role, you will partner closely with DevOps teams to refine and improve tools and systems that support RCA and FMEA at scale. You will analyze failure trends to identify recurring issues, systemic gaps, and opportunities to improve reliability and performance. A key focus is supporting FMEA initiatives by helping teams proactively identify risks and implement effective mitigation strategies. You will also review high-impact events and completed RCAs to ensure quality, consistency, and actionable outcomes. In addition, you will collaborate with engineers, operators, and vendors across regions to align corrective actions and drive execution, strengthening how the organization learns from and prevents failures.

Basic Qualifications

- Bachelor's degree - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Bachelor's degree in Engineering, Technology, Science, Operations Research, Robotics, Mathematics, or related fields, or a Associate's degree or above and experience in scripting for data analysis (Perl, Awk, etc.) - Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools - Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python), or experience in building financial and operational reports/data sets that inform business decision-making - Experience using data to drive root cause analysis for making business decisions with Excel or other analytical tools - Experience with predictive and preventative maintenance, repair, troubleshooting, and diagnostics on material handling equipment (MHE) and automated conveyor systems - Experience in at least one of these technology areas: DevOps, serverless, software development and design, CI/CD, AI/ML, Storage, Networking or Databases - Knowledge of infrastructure automation delivered through the software development lifecycle in an API-enabled environment, including agile development, software architecture/patterns, and modern cloud services - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

Preferred Qualifications

- Bachelor's degree, or experience or certifications in API design, cloud architecture/deployment, service-oriented architecture, mobile development, performance optimization, databases design and related fields - Knowledge of data modeling and data pipeline design - Experience with industry standard tools and scripting languages (Python or Perl) for automation - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience in software development, or experience with automation and any version control tools and experience with network troubleshooting tools (telnet, test-netconnection, tracert, tracetcp, iperf, ntttcp, dig, and packet capture tools) - Knowledge of overall system architecture, scalability, reliability, and performance in a database environment - Experience with various types of research methodologies is key, including quant, qual, 1P & 3P data, trend analysis & forecasting, etc. - Experience applying machine learning algorithms to find business-critical patterns in operational data - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes, or experience working with stakeholders

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