• Provide technical leadership across the OnePACS platform and related imaging workflows. • Design, develop, maintain, and modernize Java-based platform services and applications. • Lead architecture and design discussions for scalability, reliability, security, interoperability, compliance, and maintainability. • Support modernization of legacy platform components while maintaining production stability. • Partner with Engineering, Product, QA, DevOps, Implementation, and Support to improve platform reliability and operational readiness. • Troubleshoot complex production issues involving application behavior, DICOM workflows, HL7 interfaces, routing, configuration, and customer-specific scenarios. • Mentor engineers through technical design, code reviews, troubleshooting, and knowledge sharing. • Improve documentation, runbooks, diagnostics, and repeatable support patterns. • Help reduce technical risk by making critical system knowledge more durable, visible, and broadly shared. • Contribute to strategic product initiatives involving imaging workflow automation, reporting, AI integrations, DICOM router modernization, viewer modernization, and interoperability improvements. • Work within Agile/Scrum delivery practices to support predictable planning, execution, and continuous improvement.

• Serve as "Anchor" (team lead) for one or more engineering teams • Develop architecture and strategy for features and projects • Lead the adoption of new technologies while maintaining architectural cohesion • Guide tech-debt elimination in parallel with feature development • Champion the team's adoption of AI-driven development practices • Design and build Model Context Protocol (MCP) servers and AI skills • Monitor and assess AI-driven development progress • Contribute to and help shape the company's AI-driven engineering culture • Establish and model best practices in code quality, testing, DevOps, and software design • Drive deep understanding in technical discussions • Provide mentorship to engineers at all levels

• Own and deliver complex Teamcenter customizations and integrations for ArsenalOS PLM (ITK, SOA, BMIDE, Active Workspace) • Build high-performance integrations between Teamcenter and other ArsenalOS systems (ERP, MES, change management, requirements management, CAD) • Design and implement scalable data models, business logic, and workflow solutions while minimizing upgrade friction • Contribute to improving the platform observability (Datadog, etc) and reliability • Set the bar for engineering excellence — raise standards through opinionated technical decisions, architectural guidance, and high-quality code contributions • Leverage frontier AI tooling (Claude Code, GitHub Copilot, etc.) for rapid development and serve as a model for how the team should work at speed • Collaborate cross-functionally with systems architecture, software product and design, change management, requirements management, and manufacturing teams • Define architecture standards for scalable growth and move quickly from concept → prototype → production

• Own and deliver complex Teamcenter customizations and integrations for ArsenalOS PLM (ITK, SOA, BMIDE, Active Workspace) • Build high-performance integrations between Teamcenter and other ArsenalOS systems (ERP, MES, change management, requirements management, CAD) • Design and implement scalable data models, business logic, and workflow solutions while minimizing upgrade friction • Contribute to improving the platform observability (Datadog, etc) and reliability • Set the bar for engineering excellence — raise standards through opinionated technical decisions, architectural guidance, and high-quality code contributions • Leverage frontier AI tooling (Claude Code, GitHub Copilot, etc.) for rapid development and serve as a model for how the team should work at speed • Collaborate cross-functionally with systems architecture, software product and design, change management, requirements management, and manufacturing teams • Define architecture standards for scalable growth and move quickly from concept → prototype → production