Senior-Staff Enterprise Software Engineer

Antares•Los Angeles, CA

1d•$160,000 - $235,000•Onsite

About The Position

As an early member of Antares’ quality systems function, this role builds and maintains the operating backbone connecting supplier execution, manufacturing, purchasing, quality, engineering, and finance. It owns practical systems and workflows for manufacturing execution, purchasing, supplier status, material readiness, inspections, exceptions, approvals, and the data structures that support reliable operations. This is a systems-oriented role—not a traditional dashboard or reporting analyst position—and combines enterprise tool administration, business-process mapping, automation and AI-enabled workflows, and close collaboration with users to align systems with how work is performed. The role partners with supply chain, manufacturing, quality, engineering, finance, software teams, and external suppliers to track commitments, surface blockers, trigger escalations, and accelerate execution while maintaining configuration control and compliance readiness. It also supports software and internal-tool testing, data pipelines for AI-enabled processing, system implementations, documentation, and ongoing workflow improvement. The position is onsite in Torrance, California, and may require long hours, weekends, and occasional travel to support business-critical milestones.

Requirements

Bachelor’s degree in engineering, computer science, mathematics, physics, or a related field.
At least 5 years of experience in supply chain systems, manufacturing systems, procurement operations, business systems, operations technology, industrial engineering, or a similar role supporting enterprise workflows.
Ability to work onsite in Torrance, California.
Ability to work long hours and weekends as necessary for critical supplier, manufacturing, production, system implementation, or audit milestones.
Ability to travel occasionally as business needs require.

Nice To Haves

Hands-on experience administering or implementing an enterprise operations system such as MES, ERP/MRP, procurement or purchasing, supplier management, inventory or materials, QMS, PLM, or workflow automation platforms.
Software development experience in a high-level programming language such as Python, Java, or C#.
Strong understanding of supply chain and manufacturing processes, including purchase orders, supplier commitments, expediting, material readiness, inventory, work orders, receiving, inspections, nonconformances, and production support.
Ability to turn ambiguous operational needs into process maps, system requirements, workflow logic, test plans, documentation, and user training.
Working knowledge of SQL and data structures, plus experience with Python, APIs, low-code automation, RPA, scripting, or similar tools for connecting systems and automating 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 such as Git and CI/CD 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.

Responsibilities

Translate supply chain, manufacturing, quality, engineering, and finance requirements into system workflows, data models, forms, approvals, exception logic, permissions, and operating procedures.
Design and implement agentic and AI-enabled workflows to track supplier commitments, purchase order status, material readiness, action items, nonconformances, expediting needs, open risks, and follow-ups.
Implement anomaly-detection algorithms to identify quality-process gaps and help prioritize system-architecture improvements.
Build automations using SQL, Python, APIs, low-code tools, robotic process automation, webhooks, or workflow engines to reduce manual status chasing and improve execution visibility.
Develop human-in-the-loop AI workflows to summarize communications, extract commitments, propose actions, draft follow-ups, flag missing data, and escalate exceptions while preserving user accountability and review.
Administer, configure, and improve supply chain and manufacturing enterprise systems, including MES, purchasing and procurement systems, ERP/MRP modules, supplier portals, inventory and materials systems, and related tools.
Create integrations between enterprise systems and email, Slack or Teams, ticketing systems, document repositories, supplier portals, spreadsheets, and internal applications.
Maintain master data and system hygiene for suppliers, parts, bills of materials, routings, purchase orders, work orders, inspection status, ownership, lead times, milestones, and operational metadata.
Support new tool and module implementation and rollout, including requirements gathering, vendor coordination, configuration, testing, migration, user acceptance testing, training, and post-launch support.
Partner with supply chain and manufacturing teams on workflows for purchase-order release, supplier onboarding and execution reviews, material readiness, receiving, inspection, nonconformance handling, change and containment impact analyses, and production handoffs.
Create process documentation, system runbooks, automation specifications, change logs, training materials, access-control guidance, and audit evidence for regulated and government-facing operations.
Monitor workflow performance and system adoption, identifying bottlenecks, data-quality issues, broken integrations, and opportunities to simplify or automate work.
Own data-quality and exception-management routines so AI workflows use trusted information, produce auditable outputs, and route edge cases to accountable owners.
Develop and expand unit and integration testing for the enterprise software suite and internal tools.
Partner with database architects and system administrators to design and develop ETL pipelines from source systems into formats optimized for AI-enabled processing.
Work onsite in Torrance and support urgent supplier, manufacturing, production, system implementation, or audit milestones as needed.
Travel occasionally to suppliers, implementation partners, customer or government sites, or company facilities as business needs require.