Senior Staff Software Engineer

Were looking for an exceptional AI enabled software engineer, someone who understands rock-solid code and elevates the entire teams maturity. Youll build and maintain critical services using Python, React, Angular, API best practices and Google Cloud Platform. At the same time, youll act as a coach and change agent, guiding teams toward AI enabled world-class delivery processes and continuously raising both the floor and the ceiling of our engineering organization. Divas need not apply team first.

Join us and play a pivotal role in scaling both our platforms and our people. You wont just write code, youll leave a legacy of high-performance engineering!

Technical Requirements

• Strong Python expertise and love of AI coding agents, AI agent development kits and other LLM optimization
• Hands-on experience with React and Angular frameworks
• Deep understanding of RESTful and gRPC API design and versioning
• Proven track record deploying and operating solutions on Google Cloud Platform
• Expertise in containerization (Docker) and orchestration (Kubernetes/GKE)
• Solid grasp of CI/CD tools and pipelines (Tekton, Github Actions, GitLab CI, Spinnaker, etc.)
• Proficient in trunk-based development, feature toggles, and blue/green or canary releases
• Familiarity with infrastructure as code (Terraform)
• Strong testing mindset: unit, integration, end-to-end, performance and automation
• Knowledge of monitoring/observability tools (Dynatrace, Grafana)

Leadership & Soft Skills

• Influencer without direct authority: build consensus and drive change
• Excellent communicator: translate complex concepts to diverse audiences
• Skilled coach and mentor: diagnose skill gaps and tailor development plans
• Change-management acumen: navigate resistance, celebrate wins, sustain momentum
• Continuous improvement mindset: always on the lookout for process, tooling or cultural enhancements
• Empathy and emotional intelligence: foster psychological safety and high-trust teams
• Strategic thinker: balance short-term delivery needs with long-term architectural health

Qualifications

• 10+ years of professional software engineering experience
• 3+ years in a hands-on technical leadership or coaching role
• Bachelors or Masters in Computer Science, Engineering or related field (or equivalent experience)
• Demonstrated success in accelerating team maturity and improving delivery metrics
• GenAI and LLM integration experience

Nice-to-Haves

• Experience in Google Cloud Platform
• Experience with event-driven architectures and streaming platforms (Kafka, Pub/Sub)
• Familiarity with security best practices (OAuth2, JWT, OWASP Top 10)
• Open source contributions or active participation in tech communities

Measures of Success

• DORA metrics
• Trending quality indicators of code base
• Team engagement/morale and learning time allocated
• Value realization of features
• Feature branch lifespans
• Observability coverage

You may not check every box, or your experience may look a little different from what we''ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builderor all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, and prescription drug coverage

Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

Vehicle discount program for employees and family members, and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community service

A generous schedule of paid holidays, including the week between Christmas and New Years Day

Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary

This position is a salary grade LL6.

This position is leadership level 6 and ranges from $132,800-$250,800.

• Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week *
• Visa Sponsorship is not provided for this role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-GH2

• Drive the usage of AI into every aspect of software to transform how we work
• Architect, develop and maintain solutions in Python
• Build and enhance front-end features using React and Angular
• Design and document robust AI solutions for the enterprise
• Deploy and operate applications on Google Cloud Platform (GKE, Cloud Functions, Cloud Storage, Pub/Sub, etc.)
• Champion and implement CI/CD pipelines automation, test automation, and trunk-based development
• Identify process gaps and lead initiatives to improve software delivery lifecycle (SDLC) maturity and make it easier to go from idea to deployed code
• Coach engineers on best practices: AI coding agents, TDD, observability, fault-tolerance
• Facilitate change management: introduce new practices and ensure smooth adoption
• Influence cross-functional stakeholdersBusiness, Product, Opsto align on delivery goals
• Mentor teams: help them grow technical skills, soft skills, and take ownership of their work
• Understand how to effectively use engineering metrics; continuously refine key performance indicators
• Drive the usage of AI into every aspect of software to transform how we work
• Architect, develop and maintain solutions in Python
• Build and enhance front-end features using React and Angular
• Design and document robust AI solutions for the enterprise
• Deploy and operate applications on Google Cloud Platform (GKE, Cloud Functions, Cloud Storage, Pub/Sub, etc.)
• Champion and implement CI/CD pipelines automation, test automation, and trunk-based development
• Identify process gaps and lead initiatives to improve software delivery lifecycle (SDLC) maturity and make it easier to go from idea to deployed code
• Coach engineers on best practices: AI coding agents, TDD, observability, fault-tolerance
• Facilitate change management: introduce new practices and ensure smooth adoption
• Influence cross-functional stakeholdersBusiness, Product, Opsto align on delivery goals
• Mentor teams: help them grow technical skills, soft skills, and take ownership of their work
• Understand how to effectively use engineering metrics; continuously refine key performance indicators