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# Enterprise Software Engineer

- **Company:** Antares, LLC
- **Location:** Torrance, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Unit Testing, Business Systems, C Sharp (Programming Language), Spreadsheets, Collaborative Software, Databases, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), Data Structures, Issue Tracking Systems, Python (Programming Language), Standard Sql, Robotic Automation Software, Software Engineering, Software Requirements Analysis, SQL Databases, Systems Architecture, Scripting, Enterprise Software Applications, Warehouse Management Systems, Prompt Engineering, Git, Information Technology, Low-code, Operational Systems, Data Management, Webhooks, Software Version Control, Automation Anywhere, Programming Languages
- **Published:** August 2, 2026
- **Apply:** https://www.dice.com/job-detail/aeef3865-5cbe-4178-a3f6-8290f4613f63

## About the Role

Bachelor's degree in engineering, computer science, math, physics or related fields
3+ years of experience in supply chain systems, manufacturing systems, procurement operations, business systems, operations technology, industrial engineering, or a similar role supporting enterprise workflows.

Preferred Skills and Experience:
Hands-on experience administering or implementing at least one enterprise operations system such as MES, ERP/MRP, procurement/purchasing, supplier management, inventory/materials, QMS, PLM, or workflow automation platforms.
Software development experience in a high-level coding language (e.g. Python, Java, C#).
Strong understanding of supply chain and manufacturing processes such as purchase orders, supplier commitments, expediting, material readiness, inventory, work orders, receiving, inspections, nonconformances, and production support.
Ability to translate ambiguous operational needs into clear process maps, system requirements, workflow logic, test plans, documentation, and user training.
Working knowledge of SQL and data structures, plus experience using Python, APIs, low-code automation, RPA, scripting, or similar tools to connect systems and automate operational tasks.
Interest in and practical understanding of AI-enabled workflows, including prompt design, structured outputs, human-in-the-loop review, permissions, data quality, and safe escalation logic.
Experience with software version control systems (e.g. Git) and continuous integration/continuous deployment software that incorporates automated testing and release.
Strong documentation habits, attention to data quality, and ability to maintain disciplined systems in a fast-moving, regulated, hardware-focused environment.
Ability to work onsite in Torrance, CA and support urgent supply chain, supplier, manufacturing, audit, or production milestones as needed.

Additional Requirements:
Ability to work long hours and weekends as necessary to support critical supplier, manufacturing, production, system implementation, or audit milestones.
Ability to travel occasionally to suppliers, implementation partners, customer/government sites, or company facilities as business needs require.

## Description

Translate supply chain, manufacturing, quality, engineering, and finance requirements into reliable system workflows, data models, forms, approvals, exception logic, permissions, and operating procedures.
Design and implement agentic and AI-enabled workflows that help track supplier commitments, purchase order status, material readiness, action items, nonconformances, expediting needs, open risks, and required follow-ups.
Implement anomaly detection algorithms to identify gaps in quality processes and help prioritize system architecture improvements.
Build practical automations using SQL, Python, APIs, low-code tools, Robotic Process Automation, webhooks, or workflow engines to reduce manual status chasing and improve execution visibility across internal teams and suppliers.
Develop human-in-the-loop AI workflows that can summarize communications, extract commitments, propose next actions, draft follow-ups, flag missing data, and escalate exceptions throughout enterprise systems while preserving user accountability and review.
Own day-to-day administration, configuration, and improvement of supply chain and manufacturing enterprise systems, including MES, purchasing/procurement systems, ERP/MRP modules, supplier portals, inventory/material systems, and related operational tools.
Create integrations between enterprise systems and collaboration tools such as email, Slack/Teams, ticketing systems, document repositories, supplier portals, spreadsheets, and internal applications.
Maintain master data and system hygiene for suppliers, parts, BOMs, routings, purchase orders, work orders, inspection status, ownership, lead times, milestones, and operational metadata.
Support implementation and rollout of new tools or modules, including requirements gathering, vendor coordination, configuration, testing, migration, user acceptance testing, training, and post-launch support.
Partner with supply chain and manufacturing teams to build workflows for PO release, supplier onboarding, supplier execution reviews, material readiness, receiving, inspection, nonconformance handling, change/containment impact analyses, and production handoffs.
Create repeatable process documentation, system runbooks, automation specs, change logs, training materials, access-control guidance, and audit evidence that support regulated and government-facing operations.
Monitor workflow performance and system adoption, proactively identifying bottlenecks, data-quality issues, broken integrations, and opportunities to simplify or automate operational work.
Own practical data quality and exception-management routines so AI workflows act on trusted information, produce auditable outputs, and route edge cases to the right accountable owners.
Incorporate and grow unit and integration testing for the enterprise software suite and internal tools developed as part of the role.
Partner with database architects and system administrators to design and develop extract, transform, and load pipelines from various source systems into optimized formats for AI-enabled processing.


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