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This is a space defined by uncertainty, rapid change, and complex real-world constraints. Your work will help our engineering and manufacturing teams move faster while increasing quality, safety, and confidence in decisions. You'll build systems that connect people, processes, and data across the prototype lifecycle-from early planning, scheduling, and readiness through verification, compliance, and continuous improvement.
If you're energized by game-changing transformation, love working across the stack, and want to apply AI-accelerated engineering, metrics-driven prioritization, and customer-centric operations to high-impact industrial workflows, this role is for you.
Design and deliver production-grade software that supports prototype, testing, and plant-floor-adjacent workflows where requirements evolve quickly and ambiguity is normal.
Build and operate microservices and APIs (Google Cloud Platform, Java Spring Boot) with a focus on reliability, security, maintainability, and clear contracts.
Develop rich user experiences (Angular) that make complex operational data understandable and actionable.
Apply AI-driven development practices (e.g., Copilot-assisted coding, automated review assistance, and test generation) while maintaining strong engineering judgment and quality gates.
Drive data-driven development: instrument features, define success metrics, and use telemetry and analytics to guide iteration.
Champion test-driven development (TDD) and pragmatic automation to protect critical workflows (unit, contract, integration, load & performance, end-to-end).
Improve site reliability engineering (SRE) outcomes: reduce toil, strengthen observability, prevent regressions, and continuously improve incident response readiness.
Contribute to secure delivery pipelines and release strategies (CI/CD), including automated scans and compliance guardrails.
Partner with engineering leadership, business stakeholders, and end users to deeply understand problems and deliver customer-centric solutions.
Collaborate across teams and vendors to integrate upstream/downstream systems and external APIs.
Lead and mentor other engineers on engineering standards, delivery practices, and operational excellence (quality, security, and reliability).
Ford Motor Company (commonly known as Ford) is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903. The company sells automobiles and commercial vehicles under the Ford brand, and luxury cars under its Lincoln luxury brand. Ford also owns Brazilian SUV manufacturer Troller, an 8% stake in Aston Martin of the United Kingdom and a 32% stake in China’s Jiangling Motors. It also has joint ventures in China (Changan Ford), Taiwan (Ford Lio Ho), Thailand (AutoAlliance Thailand), Turkey (Ford Otosan), and Russia (Ford Sollers). The company is listed on the New York Stock Exchange and is controlled by the Ford family; they have minority ownership but the majority of the voting power.
Job ID: 148169631
Skills:
Pytest, Unit Testing, Rabbitmq, Django, Rest Apis, Kafka, Gcp, Data Structures, Flask, Sqlalchemy, Design Patterns, Asynchronous programming, Debugging, Algorithms, AWS, Redis, FastAPI, Python, Azure, Docker, Django ORM, unittest, async, Redis streams, NoSQL databases, OOP principles
Skills:
Angular, Agile, Bitbucket, Jira, MS-SQL, Git
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