• Set the technical vision and strategy for a rapidly evolving product area, making high-judgment calls on architecture and technology direction. • Drive the adoption of AI and machine learning solutions to optimize customer support workflows and enhance operational efficiency across the platform. • Lead a team of talented engineers who ship code and tackle hard engineering problems, maintaining a high bar for technical excellence. • Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. • Drive the responsible adoption of AI development tools across engineering teams - modeling effective use, establishing best practices, and mentoring engineers to improve productivity without compromising code quality or security. • Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team. • Establish best practices for deployment, alerting, and on-call health. Take holistic ownership of the platform's stability, tracking down issue root causes and building preventive safeguards for your immediate scope and beyond. • Drive alignment across product, design, and operations. Proactively resolve bottlenecks and make decisive trade-offs to protect system architecture from competing organizational priorities. • Mentor and level up the engineers around you. Delegate stretch opportunities, lead cross-team reviews, and foster a culture of strong technical excellence.

Role Description We are seeking an experienced Windchill Integration Engineer to design, build, and operate integrations connecting PTC Windchill with ERP, MES, CAD, and other engineering and manufacturing systems. In this role you will own the technical integration layer between Windchill and the broader enterprise systems landscape. The ideal candidate will bring deep hands-on Windchill integration experience and a strong understanding of enterprise integration patterns, middleware platforms, and PLM-to-ERP data flows. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities - Design and develop integrations between Windchill and ERP systems (SAP, Oracle EBS, Oracle Cloud) using Info*Engine, web services, and middleware platforms. - Build CAD integrations for Creo, SolidWorks, AutoCAD, Catia, and NX with Windchill, including check-in/check-out workflows and metadata mapping. - Develop integrations between Windchill and MES, MOM, and quality systems. - Build REST and SOAP services for Windchill data using OData, Info*Engine, or custom Java services. - Implement message-based and event-driven integrations using middleware (MuleSoft, Boomi, OIC, SAP CPI). - Design and operate robust error-handling, alerting, and resubmission patterns, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. - Profile and optimize performance of high-volume integrations, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Lead migration efforts to retire legacy point-to-point integrations and replace them with modern, middleware-mediated patterns, planning phased cutovers, building backward-compatibility shims where needed, and ensuring each migration step is reversible and well-monitored. - Collaborate with PLM, ERP, and CAD functional teams to align integrations with business processes. - Develop integration documentation, message specifications, and runbooks, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. - Provide hands-on post-go-live and hypercare support, working closely with operations teams to triage incidents quickly, identify root causes, and drive durable fixes that improve long-term system stability. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time. - Continuously evaluate emerging integration tools and patterns, assessing maturity, fit for purpose, and total cost of ownership, and make grounded recommendations on which to adopt, pilot, or defer based on real engineering needs. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of PLM integration experience with a strong focus on Windchill. - Hands-on experience with Info*Engine and Windchill Java API. - Experience designing PLM-to-ERP integrations (SAP, Oracle). - Working knowledge of CAD integration patterns. - Experience with middleware platforms such as MuleSoft, Boomi, OIC, or SAP CPI. - Strong SQL skills and familiarity with Windchill data model. - Experience with REST and SOAP web services. - Excellent troubleshooting and documentation skills. - Strong communication and collaboration skills. Preferred Qualifications - PTC Windchill certifications. - Experience with ThingWorx or IIoT integration. - Exposure to API management platforms. - Familiarity with event-driven and Kafka-based integration patterns. - Experience operating Windchill in the cloud. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Own backend features end-to-end: discovery, design, implementation, rollout, and ongoing reliability and operations, with support from more experienced teammates as needed. • Help design and evolve distributed systems (services, pipelines, and data stores) with an eye toward performance, scalability, and resiliency. • Build and maintain APIs and data access patterns that support analytics and search use cases. • Develop, maintain, and optimize scalable data pipelines that power product features, analytics, and machine learning workloads. • Ensure data reliability, quality, and performance across our systems, and monitor and troubleshoot pipelines to ensure consistent, timely delivery. • Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and operational excellence. • Apply an experimentation-first approach: define hypotheses and success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders. • Use AI coding tools like Claude Code productively and responsibly as part of your development workflow - for implementation, debugging, refactoring, and design reviews - while maintaining high standards for correctness, security, and privacy. • Bring evaluation discipline to AI-assisted work: treat prompts and configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift the same way you would for performance or correctness. • Grow continuously: actively seek feedback, learn new tools, languages, and domains quickly, and apply what you learn to your work. • Collaborate with Product Managers and fellow Engineers to ship intelligent, data-driven products. • Share knowledge with teammates through clear documentation, pairing, and participation in code reviews. • Document systems, pipelines, and architecture, and help evolve our engineering best practices. • Stay current with emerging tools, frameworks, and trends across software, data, and AI engineering.

• Own backend features end-to-end: discovery, design, implementation, rollout, and ongoing reliability and operations, with support from more experienced teammates as needed. • Help design and evolve distributed systems (services, pipelines, and data stores) with an eye toward performance, scalability, and resiliency. • Build and maintain APIs and data access patterns that support analytics and search use cases. • Develop, maintain, and optimize scalable data pipelines that power product features, analytics, and machine learning workloads. • Ensure data reliability, quality, and performance across our systems, and monitor and troubleshoot pipelines to ensure consistent, timely delivery. • Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and operational excellence. • Apply an experimentation-first approach: define hypotheses and success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders. • Use AI coding tools like Claude Code productively and responsibly as part of your development workflow - for implementation, debugging, refactoring, and design reviews - while maintaining high standards for correctness, security, and privacy. • Bring evaluation discipline to AI-assisted work: treat prompts and configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift the same way you would for performance or correctness. • Grow continuously: actively seek feedback, learn new tools, languages, and domains quickly, and apply what you learn to your work. • Collaborate with Product Managers and fellow Engineers to ship intelligent, data-driven products. • Share knowledge with teammates through clear documentation, pairing, and participation in code reviews. • Document systems, pipelines, and architecture, and help evolve our engineering best practices. • Stay current with emerging tools, frameworks, and trends across software, data, and AI engineering.