Senior Manufacturing Engineer

Diversified Services Network, Inc.•Peoria, IL

6d•$90,000 - $96,000•Onsite

About The Position

Diversified Services Network, Inc. (DSN) is seeking a full-time Manufacturing Engineer to join our team in Mossville, IL! We offer full benefits, PTO, 401k, and more! If you’re looking to grow your engineering career within an extremely reputable, stable Fortune 500 company — let’s talk! We are seeking a Manufacturing Engineer with strong shop floor domain expertise and a digital product mindset to join our team, fully on-site in Mossville, IL. In this role, you will partner with IT and Azure DevOps (ADO) teams in the development and deployment of manufacturing-specific digital tools. The ideal candidate understands manufacturing processes deeply, can translate operational needs into clear digital requirements, and is comfortable working in Agile/DevOps delivery environments. Serve as a critical bridge between manufacturing operations and digital delivery teams, directly influencing tools that improve production stability, safety, quality, and throughput. Gain hands-on experience partnering with IT and software product teams in an Agile/DevOps environment, building skills at the intersection of manufacturing and digital delivery. Work on high-impact digital manufacturing products — including OEE, connected equipment, digital twins, and production analytics — that scale across global facilities. Collaborate with a small, dispersed team of highly skilled engineers across facilities that are critical to the organization’s manufacturing strategy.

Requirements

10+ years of relevant engineering experience required. Candidates with a Master’s degree may be considered with 7 years of experience.
Bachelor’s degree in Engineering or a related technical field required.
Internship experience may be counted toward the required years of experience.
Comparable backgrounds include Lean Black Belt, Manufacturing Project Engineer, or similar roles with strong shop floor and systems-level exposure.
Experience working in manufacturing or production environments (machining, assembly, fabrication, etc.).
Strong understanding of manufacturing systems, equipment behavior, and process flows.
Experience collaborating with IT, software, or digital product teams.
Working knowledge of Agile delivery concepts and Azure DevOps (or similar platforms).
Ability to write clear requirements, user stories, and acceptance criteria.
Strong communication and facilitation skills across technical and non-technical teams.
Manufacturing domain expertise combined with systems-level thinking.
Digital product mindset focused on value delivery and outcome-driven development.
Strong requirements and problem-definition skills.
Cross-functional collaboration and the ability to influence without direct authority.
Comfort operating in ambiguous, evolving environments with competing priorities.

Nice To Haves

Experience supporting or delivering digital manufacturing products (OEE, MES, analytics, connected equipment, digital twins).
Familiarity with manufacturing data sources (PLC, SCADA, MES, CMMS, historians).
Experience in multi-site manufacturing environments.
Exposure to DevOps, CI/CD concepts, or digital product lifecycle models.
Experience supporting pilot-to-scale digital implementations.

Responsibilities

Represent manufacturing operations in the design of digital tools (e.g., OEE, connected equipment, digital twins, production analytics).
Define process intent, loss mechanisms, and operational constraints to guide solution development.
Ensure digital capabilities align with shop floor realities, safety standards, and quality systems.
Support pilot deployments and validate solutions in live manufacturing environments.
Partner with IT and product teams using Azure DevOps to develop manufacturing capabilities.
Create and refine Epics, Features, and Acceptance Criteria that reflect manufacturing outcomes.
Contribute to Agile planning, backlog refinement, and incremental delivery (MDP → MVP → MMP).
Support trade-off decisions between standardization, localization, and scalability.
Translate manufacturing problems into clear, testable digital requirements.
Identify critical data signals and events needed to support operational decision-making.
Define functional and non-functional requirements (performance, reliability, usability).
Ensure traceability from manufacturing need → digital feature → deployed capability.
Facilitate workshops with manufacturing, IT, data, and leadership stakeholders.
Align multiple facilities around common digital standards and operating models.
Actively prevent scope creep and reinforce outcome-driven development.
Support change management and adoption of digital tools on the shop floor.