Senior Software Engineer at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Code Reviews, Documentation, Automated Testing, Mentoring, Cloud Platforms, API Development, AI/ML Integration, Large Language Models, Debugging, Observability, Performance Improvements, Collaboration, Customer Focus, Entrepreneurial Mindset, High Quality Code

Industry

Motor Vehicle Manufacturing

Description

Lead and deliver: Design, build, and operate scalable services and features end-to-end—from architecture and implementation to testing, deployment, and observability. Drive quality: Champion maintainability, performance, and reliability through code reviews, documentation, and automated testing. Mentor and uplift: Coach peers through pairing and reviews; help define standards and architectural direction. Own systems: Take responsibility for critical services, reliability, and incident response in a sustainable on-call rotation. Partner across functions: Collaborate with product, design, and external stakeholders to ship customer-centric solutions. Evolve the platform: Explore and evaluate new technologies and apply innovative approaches to unlock better outcomes. Continuous improvements: Drive adoption of innovative developer productivity tools - including AI assisted tools like GitHub CoPilot, Claude Code, Google Gemini Established and active employee resource groups Bachelor's degree in computer science or equivalent field Min of 4+ years of industry software engineering experience Strong software engineering skills and ability to write high quality code in modern programming languages (e.g., TypeScript, Python, Java, Go) You approach problems with a customer focused mindset to drive the right outcome for our customers (internal & external) Strong collaboration skills with the ability to work across workstreams within your team and contribute to your peers' success Experience with cloud platforms (AWS, Azure, or GCP), databases, and API development Hands-on experience building products with AI/ML integration, particularly Large Language Models (LLMs) or similar emerging technologies Thrive in an autonomous environment with high ownership and an entrepreneurial mindset Debug production issues across services and several levels of the stack Experience expanding observability (metrics, logging, tracing) and driving performance improvements end-to-end.

Responsibilities

Lead and deliver scalable services and features end-to-end, ensuring quality through code reviews and automated testing. Mentor peers and take ownership of critical services, collaborating across functions to deliver customer-centric solutions.