Senior Software Engineer designing and building scalable software solutions at Ford. Mentoring engineers and impacting products while contributing to an innovation-driven culture.
Responsibilities
We're seeking an experienced Senior Software Engineer to join our growing engineering team.
In this role, you'll design and build scalable software solutions, mentor fellow engineers, and play a key part in shaping our technical direction.
You'll work on challenging problems that directly impact our product and customers while contributing to a collaborative, innovation-driven culture.
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
Requirements
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
Even better, you may have...
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
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