Operations Engineer

- Lead development and deployment of internal automation systems to streamline engineering, manufacturing, and operations workflows, eliminating manual touch points.

- Architect and maintain operational data pipelines and dashboards to enable real-time, decision-grade visibility across programs.

- Design scalable process and systems architectures to support new product lines, facilities, and organizational expansion.

- Formalize and instrument critical workflows with clear inputs/outputs, controls, and measurable performance metrics.

- Diagnose systemic inefficiencies using data-driven analysis and implement durable technical and process-level solutions.

- Build and refine program execution tooling, including tracking systems, dependency mapping, and risk monitoring frameworks.

- Integrate software systems and cross-functional data sources (PLM, ERP, MES, etc.) to create a unified operational backbone.

- Develop lightweight internal applications, scripts, and APIs to automate coordination, reporting, and cross-team handoffs.

- Partner with department leaders to translate strategic initiatives into implemented systems, infrastructure, and execution processes.

- Bachelor's degree in Computer Science/Engineering, Mechanical, Electrical or Aerospace Engineering.

- 1-3+ years in a fast paced collaborative work environment within an engineering or consulting field.

- Strong systems-level intuition with demonstrated ability to reason across electrical, mechanical, and software boundaries.

- Demonstrated ability to build credibility quickly across teams and influence outcomes without formal authority.

- Refined communication ability, with experience distilling complex technical and organizational issues into clear, decision-oriented narratives for diverse stakeholders.

- Capacity to understand engineering and manufacturing data structures (e.g., BOM hierarchies, part revisions, work orders) without owning product design.

- Experience building, deploying and maintaining automation using python, SQL, APIs, or similar platforms/tooling.

- Background in developing automation or tooling (e.g., scripting, workflow tools, Jira, internal systems).

- Experience with aerospace, UAS, robotics, automotive, or other complex hardware manufacturing.

- Working familiarity with regulated environments (ITAR/EAR), aerospace quality standards (AS9100, ISO9001), and government program requirements.

- Understanding of product lifecycle states (R&D -> EVT/DVT/PVT -> Production).

- Hands-on experience with enterprise systems (ERP, MES, PLM).

- Exposure to manufacturing scale-up or production environments.

- Experience in a startup or high-growth technical organization.