Description
Ford is seeking a Product Group Anchor, a senior engineer who is the hands-on technical constant within a single product group in the Industrial Systems Analytics (ISA) portfolio.
The Product Group Anchor will be responsible for turning organizational strategy into well-built, well-tested, working software. This is a deeply execution-focused role that requires strong communication skills and the ability to stay productive in an ambiguous, fast-changing environment.
Responsibilities:
- Build, test, and ship high-quality Java/Python backends and Angular/React frontends within the product group.
- Make sound design and implementation decisions within the product group's systems.
- Apply and uphold established best practices, such as branching strategies, code review, and DevSecOps workflows.
- Use modern AI coding agents and spec-driven development in daily workflow to accelerate delivery and produce high-quality artifacts.
- Build agentic capabilities on top of current and emerging data platform features.
- Model good engineering within the group and help teammates level up through pairing, code review, and sharing knowledge.
- Weigh the cost and performance implications of technical choices.
- Explain technical work clearly to teammates and stakeholders.
Qualifications:
- Bachelor's degree in computer science, Software Engineering, or a related technical field.
- 7+ years of professional software development experience as a hands-on contributor.
- Expertise in Java and Python (backend) and Angular or React (frontend).
- Competence with Big Data technologies, ideally BigQuery and advanced SQL.
- Experience with infrastructure automation and CI/CD pipeline development, using tools like Terraform.
- Experience with the Google Cloud Platform, or equivalent public cloud experience.
- Strong command of modern branching strategies, DevSecOps workflows, and core engineering principles.
- Experience using AI-assisted tooling in personal workflow.
Preferred Skills and Abilities:
- Master's degree in computer science, engineering, or a related STEM field.
- Depth in leveraging AI coding agents and large language models to accelerate the SDLC and build AI-enabled test harnesses.
- Experience in agentic development, building autonomous agents that interact with complex data platform capabilities.
- Experience pairing with and supporting other engineers to raise the quality of the code the group ships.
- Excellent communication skills, with both technical peers and non-technical stakeholders.