Allegion
Senior Automation Engineer
Carmel, IN · Senior
Work authorization requiredDetected 12 days ago
PythonSQLData AnalysisProject ManagementProcess ImprovementProcurementRecruitingCustomer SupportRoboticsPLCLeadershipCommunicationCollaborationProblem SolvingMentoringSCADA
About the role
- With more than 40 brands, 14,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond.
- Additionally, Allegion is proud to be recognized with the 2026 Gallup Exceptional Workplace Award (GEWA) for the third consecutive year, earning distinction in both the employee engagement and strengths categories.
- This position requires in-office presence three days per week when not traveling.
Responsibilities
- Lead the design, development, and implementation of advanced fabrication, assembly, and automation processes, including robotics, cobots, and electronic test platforms.
- Support process standardization and continuous improvement initiatives utilizing Lean, Six Sigma, and TPM methodologies.
- Drive manufacturing digitization projects, including the integration of Industry 4.0 technologies such as data analytics, automation, smart manufacturing systems, and MES platforms (e.g., Ignition, Aveva, Rockwell) to improve visibility, efficiency, and decision-making.
- Lead and support the deployment of automation equipment, robotics, electronic hardware validation, and communication protocols.
- Troubleshoot and optimize automation controllers, robotics and electronic systems to enhance production reliability.
- Familiarity and ability to support Total Productive Maintenance (TPM) initiatives to improve equipment reliability, reduce downtime, and extend machinery lifespan.
- Partner with cross-functional teams (design, quality, operations, procurement) to evaluate, implement, and optimize manufacturing technologies.
- Lead facility start-ups, process transitions, and capital investment projects, including greenfield and brownfield initiatives.
- Analyze manufacturing data, including from MES and data historians, to identify trends, drive continuous improvement, and support decision-making.
- Develop documentation, test strategies, and process specifications.
Requirements
- Qualified candidates must be legally authorized to be employed in the United States.
- Experience with Manufacturing Execution Systems (MES) such as Ignition, Aveva, Rockwell, and/or data historians is highly advantageous.
Skills
- Strong understanding of manufacturing processes and automation technologies.
- Proficiency in industrial communication protocols and database systems.
- Excellent problem-solving and project management skills.
- Preferred Attributes
- Experience in multi-site deployments.
- Experience with SQL, Python, or other scripting languages for data handling.
- Knowledge of ISA-95 standards and integration best practices.
- Exposure to cloud-based manufacturing solutions and analytics.
- Why Work for Us?
- Allegion is a Great Place to Grow your Career if:
- What You'll Get from Us:
- A commitment to your future with a 401K plan, offering a 6% company match and no vesting period
Benefits
- Our employees enjoy generous paid time off, because at Allegion we recognize that you have a full life outside of work!
- Health, dental and vision insurance coverage, helping you "be safe, be healthy".
- Tuition Reimbursement
- Employee Discounts through Perks at Work
- This role offers the benefits of our dynamic hybrid work model-combining in-person collaboration for meaningful moments with the flexibility of remote work.
Company info
- When you join our team, you become part of a culture that values innovation, purpose, and excellence.
- With thousands of employees and customers around the world, there's plenty of room to make an impact.
- As our values state, "this is your business, run with it".
Visa & Work Authorization
- The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.
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This listing is sourced directly from Allegion's careers page and normalized into a canonical job model.