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Shift Supervisor, 3rd Shift

Job in Burlington, Middlesex County, Massachusetts, 01805, USA
Listing for: Johnson Controls, Inc.
Full Time position
Listed on 2026-07-08
Job specializations:
  • Manufacturing / Production
    Production Manager, Manufacturing Engineer, Lean Manufacturing / Six Sigma, Production QC/QA
Salary/Wage Range or Industry Benchmark: 67900 - 101900 USD Yearly USD 67900.00 101900.00 YEAR
Job Description & How to Apply Below

What You’ll Do

Alloy is looking for a hard‑working and detail‑oriented production shift supervisor to manage the 3rd shift within the Part Production team building parts for our customers at Alloy’s part production facility. The role reports to the Director of Part Production and requires on‑site training and support from lead technicians. The Production Shift Leader is responsible for ensuring every aspect of the shift runs smoothly, including planning and executing setups, operations, and processes within recognized or standard methods.

5 days onsite per week.

Who You Are

You are a hands‑on manufacturing leader comfortable owning the floor during off‑shift production. You lead from the front, work directly with technicians and operators, and understand that strong shift performance comes from clear priorities, disciplined execution, safe work practices, and attention to the details of the process. You are dependable, technically curious, and calm under pressure. You can make practical decisions with limited support, troubleshoot equipment and process issues, and escalation when needed.

You take pride in keeping production moving while maintaining quality, documentation accuracy, and safety standards. You are not just a scheduler or people manager; you are a floor leader who can train others, reinforce standard work, identify issues, and help improve how the team builds parts.

Responsibilities

Responsibilities are subject to change based on shifting business needs.

  • Work alongside technicians and operators to fabricate components using Alloy’s novel metal manufacturing systems to build aluminum parts that include laser cutting, bonding presses, and sheet handling equipment.
  • Manage resources effectively to support customer delivery requirements and lean manufacturing principles.
  • Lead by example, ensuring a safe and efficient workplace is maintained at all times.
  • Run and tune proprietary software programs to optimize production processes.
  • Complete initial prototype builds, analyze results, and refine component designs.
  • Work closely with applications, engineering, software, and manufacturing teams to run production builds.
  • Perform quality assessments according to customer specifications.
  • Provide feedback to identify problems and improve production throughput, cost, product quality and process safety.
  • Maintain process documentation, including test procedures, routers, travelers, process flows, work instructions, and PFMEAs.
  • Inform facility layout to ensure efficient and productive manufacturing flow.
  • Manage a team of production technicians to ensure safe and efficient task completion.
Qualifications
  • You are hands‑on and enjoy the gritty details of developing manufacturing processes and procedures.
  • Prior direct or indirect leadership in a manufacturing setting.
  • 5+ years of industry experience in a manufacturing setting.
  • Experience with lean and six sigma tools.
  • Track record of developing and maintaining process documentation.
  • High level of dedication, punctuality and reliability.
  • Familiar with additive manufacturing, 3D printing, robotics, metal fabrication, or industrial automation.
  • Proven ability to work with minimal additional leadership or engineering support in the factory.
  • The knowledge and ability to troubleshoot equipment.
  • BS in engineering or a relevant field experience.
Salary

Salary range: $67,900 - $101,900. This role offers a competitive bonus plan and benefits package. Salary will be determined by education, experience, knowledge, skills, and abilities, internal equity, and market data. Exceptional candidates with unique skills may exceed the stated range.

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