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Manufacturing Engineer

Job in Eastlake, Lake County, Ohio, 44095, USA
Listing for: TRIBUS
Full Time position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

TRIBUS is seeking an Onsite Manufacturing Engineer to bring manufacturing-style rigor to our real estate technology platforms. You'll design and optimize repeatable processes for software deployment, integrations, and quality control, working closely with a small, expert engineering team. In this role, you'll standardize pipelines, monitor performance, and automate workflows that power brokerage websites, CRM, and data tools used nationwide. This is an on-site position partnering directly with clients and internal teams to deliver reliable, scalable, and continuously improving technology solutions.

Responsibilities

  • Design, implement, and optimize manufacturing-style processes for software deployment, QA, and release management across TRIBUS platforms.
  • Standardize build, test, and release pipelines to improve reliability, throughput, and quality of product delivery.
  • Collaborate with engineering, product, and client success teams to translate business requirements into scalable, repeatable operational workflows.
  • Monitor system performance and deployment metrics, identifying bottlenecks and driving continuous improvement initiatives.
  • Document processes, best practices, and runbooks to ensure consistent execution and knowledge sharing across the team.
  • Support incident response and root-cause analysis, implementing preventive measures in the deployment and operations pipeline.
  • Automate repetitive operational tasks using scripts and tooling to reduce errors and cycle time.
  • Ensure integrations with external real estate systems follow consistent patterns and meet performance and reliability targets.

Required Skills

  • Process engineering
  • Manufacturing process optimization
  • Software deployment pipelines (CI/CD)
  • Quality assurance methodologies
  • Automation and scripting (e.g., Python, Bash)
  • Data analysis and performance monitoring
  • Systems integration
  • Technical documentation
  • Root-cause analysis
  • Agile/Scrum collaboration
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