Tech Anchor – Supply Chain

Jobtailor; Dearborn (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Ford Motor Company is seeking a senior software engineer to design and implement production-grade, data-driven applications within the supply chain analytics ecosystem. You will build scalable data pipelines, integrate GenAI, and mentor peers while aligning work with enterprise policies.

Role requires deep Java/Spring Boot experience, Python, and cloud expertise, plus a strong track record delivering customer-facing products in Agile environments. Visa sponsorship is available for this role.

Qualifications

• Bachelor's degree in computer science, software engineering, or related technical discipline.
• 10+ years of professional software engineering experience.
• Proven track record delivering customer-facing full-stack products.
• Strong experience in Java, including Spring Boot, and Python.
• 3+ years of experience with Angular, React, or similar MVC frameworks.
• 3+ years of experience with SQL and distributed data pipelines.
• 2+ years of hands-on experience with Google Cloud Platform.
• Experience integrating LLMs into web applications (e.g., GPT).
• Understanding of prompt engineering, Retrieval-Augmented Generation, vector databases.
• Basic understanding of ML concepts and supply chain use cases.
• Strong experience in Agile/PDO environments using Jira.

Responsibilities

• Create high-level designs and system-level sequence diagrams.
• Integrate ML algorithms and build prod-ready apps powered by Generative AI.
• Write clean, well-crafted, maintainable code.
• Architect and build distributed, fault-tolerant data pipelines.
• Ensure data and software products align with enterprise policies.
• Pair program with team members and mentor engineers on clean code and Agile practices.
• Advocate for TDD, CI, and iterative delivery.
• Collaborate with Product Owners and partners to deliver MVPs using Jira.
• Help Product Development Office teams adopt modern ways of working.
• Contribute to Ford’s institutional knowledge base.
• Present technical concepts to Ford leadership and collaborate with partners.

Skills

Software architecture

Distributed systems

Agile methodologies

Mentoring

Communication

Education

Bachelor's degree in computer science, Software Engineering, or related technical discipline

Tools

Java

Spring Boot

Python

Angular

React

SQL

Google Cloud Platform

Apache Spark

Hadoop

Kafka

Jira

CI/CD Tools

Job description

• Create high-level designs, system-level sequence diagrams, and validate and apply architectural standards across the supply chain analytics ecosystem


• Integrate machine learning algorithms and build production-ready applications powered by Generative AI and LLMs


• Write clean, well-crafted, maintainable code


• Architect and build distributed, fault-tolerant data pipelines to ingest, process, and serve massive datasets


• Ensure data and software products align with enterprise policies


• Pair program with team members and mentor engineers on clean code practices, Extreme Programming, and Agile ways of working


• Advocate for and implement Test-Driven Development, continuous integration, and iterative delivery


• Work with Product Owners and GDIA partners to define, prioritize, and deliver MVPs using Jira


• Help Product Development Office teams adopt modern ways of working


• Contribute to Ford’s institutional knowledge base


• Present technical concepts to Ford leadership and collaborate with GDIA partners and diverse teams

Requirements

• Bachelor's degree in computer science, Software Engineering, or a related technical discipline


• 10+ years of professional software engineering experience


• Proven track record delivering customer-facing full-stack products


• Strong experience in Java, including Spring Boot, and Python


• 3+ years of experience with Angular, React, or similar modern client-side MVC frameworks


• 3+ years of experience with SQL and highly distributed, fault-tolerant data pipelines


• 2+ years of hands-on experience with Google Cloud Platform


• Practical experience integrating LLMs such as OpenCode or GPT into web applications


• Understanding of prompt engineering, Retrieval-Augmented Generation architectures, vector databases, MCP Protocol, and Agentic systems


• Basic understanding of core Machine Learning concepts and supply chain use cases


• Strong experience working in an Agile/PDO environment using Jira


• Outstanding written and oral communication skills


• Preferred or additional qualifications include advanced GCP services, Apache Spark, Hadoop, Kafka, CI/CD tools and pipelines, LLM fine-tuning, agentic AI workflows, production ML deployment, and automated testing


• Must be legally authorized to work in the United States


• Visa sponsorship is available

Core Competencies

Demonstrates expertise in software engineering with a focus on building production-ready applications, integrating machine learning algorithms, and architecting fault-tolerant data pipelines. Proficient in Agile methodologies and effective communication with diverse teams to deliver customer-facing products.

Highest-signal resume keywords

• Java Development


• Machine Learning Integration


• Data Pipeline Architecture


• Agile Methodologies


• Google Cloud Platform

ATS Optimization Keywords

Hard Skills

• Java


• Spring Boot


• Python


• SQL


• Angular


• React


• Machine Learning


• Test-Driven Development


• Continuous Integration


• Distributed Systems

Soft Skills

• Outstanding Communication


• Mentoring


• Collaboration

Industry Keywords

• Supply Chain Analytics


• Generative AI


• LLMs


• Extreme Programming


• Retrieval-Augmented Generation

Tools & Technologies

• Jira


• Google Cloud Platform


• Apache Spark


• Hadoop


• Kafka


• CI/CD Tools