> Markdown version of [/jobs/ext/4004849-software-lead-manufacturing-infrastructure](https://www.wearedevelopers.com/jobs/ext/4004849-software-lead-manufacturing-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Lead, Manufacturing Infrastructure - **Company:** Ford Motor Company - **Location:** Long Beach, CA, United States - **Experience:** Expert - **Salary:** $167,200.0 - $316,600.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Computing Platforms, Microsoft Azure, Cloud Computing, Computer Engineering, Continuous Integration, DevOps, Distributed Systems, Release Management, Cloud Services, Software Engineering, Software Systems, Technical Data Management Systems, SSL Certificate Management, Data Processing, Google Cloud, Cloud Platform System, Software Distribution, Delivery Pipeline, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Build Tools, Tools for Reporting, U-Boot, Industrial Software, Data Pipelines, Serverless Computing - **Published:** October 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8612fff51cd9aeef ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. * 8+ years of experience in software engineering, infrastructure engineering, or platform development. * 3+ years leading engineering teams or significant technical initiatives. * Experience developing cloud-based platforms and distributed systems. * Experience building operational tooling, automation, monitoring, and data-processing systems. * Experience with CI/CD, DevOps, release management, and software-delivery pipelines. Even better, you may have... * Experience with manufacturing software, factory operations, NPI processes, or production environments. * Experience building data pipelines, telemetry platforms, or analytics solutions. * Experience with GCP and Azure, cloud-native services, containers, and infrastructure automation. * Experience supporting connected devices, embedded systems, automotive products, or hardware-integrated software. * Experience collecting and analyzing manufacturing logs, diagnostics, validation data, and test-execution data. * Familiarity with secure provisioning, certificate management, secure boot, and production security. * Experience working directly with external suppliers and manufacturing partners. ## Description We are seeking an engineering leader to own the software platforms, cloud services, and operational tools that support product manufacturing, deployment, diagnostics, and lifecycle management. This role will define and deliver the manufacturing software infrastructure needed for product bring-up, validation, provisioning, deployment, quality tracking, and production readiness. Working across New Product Introduction (NPI), engineering, manufacturing, cloud infrastructure, quality, and support teams, the leader will ensure these systems are scalable, reliable, secure, and ready for production. Success in this role is measured by manufacturing readiness, data visibility, traceability, cloud platform reliability, diagnostic capability, and operational efficiency. The role focuses on ownership of the software platform and infrastructure ecosystem. The ideal candidate brings experience in cloud platforms, software infrastructure, manufacturing systems, operational tooling, and data-driven engineering. They can lead complex initiatives across organizational boundaries and turn manufacturing data into insights that improve quality, efficiency, and product readiness. What you'll do... * Own Manufacturing Software Infrastructure * Define and execute the long-term strategy for software infrastructure supporting manufacturing and operations. * Build and maintain platforms for manufacturing execution, provisioning, diagnostics, validation, and release readiness. * Establish end-to-end traceability across software, hardware, test results, and manufacturing outcomes. * Develop scalable architectures that support current and future manufacturing needs. Improve Manufacturing Data Visibility and Traceability * Partner with NPI and manufacturing teams to standardize the collection, storage, processing, and presentation of manufacturing data. * Build systems that bring together logs, test results, diagnostics, yield metrics, and quality data across manufacturing sites and suppliers. * Deliver dashboards and reporting tools that provide actionable visibility into manufacturing health and product readiness. * Ensure manufacturing data remains traceable throughout the product lifecycle. Lead Cloud Solutions for Manufacturing Operations * Partner with Ford cloud platform teams to deliver cloud-native solutions for manufacturing and operational workflows. * Develop services for monitoring, diagnostics, provisioning, analytics, and software distribution. * Promote cloud architectures that improve reliability, scalability, and operational efficiency. * Ensure solutions meet enterprise security, availability, and performance requirements. Build Operational Support Platforms * Lead development of cloud-based tools that help Ford support teams support products efficiently. * Create diagnostic capabilities, monitoring solutions, workflows, and automation that reduce support effort and speed issue resolution. * Improve visibility into manufacturing, deployment, and field issues through centralized operational tooling. Enable Manufacturing Readiness * Develop frameworks for manufacturing, deployment, and production-validation readiness. * Automate product bring-up, qualification, factory acceptance, provisioning, and release validation. * Establish operational health metrics, monitoring, and alerting across manufacturing systems. * Drive continuous improvement in manufacturing efficiency, quality, and operational performance. Provide Cross-Functional Technical Leadership * Collaborate with NPI, engineering, manufacturing, quality, supplier, security, cloud, and operations teams. * Define software contracts, workflows, and interfaces between manufacturing systems and engineering platforms. * Lead technical decision-making across stakeholders and drive issue resolution across organizational and geographic boundaries.