Senior Staff Software Engineer

Ford Motor Company

Senior Staff AI Software Engineer developing software solutions at Ford utilizing Python, React, and AI technologies. Leading teams to enhance engineering maturity and implementing robust AI solutions.

Posted 5/8/2026full-timeDearborn • Missouri • 🇺🇸 United StatesSenior💰 $132,800 - $250,800 per yearWebsite

Tech Stack

Tools & technologies

AngularCloudDockerGoogle Cloud PlatformGrafanaGRPCKubernetesPythonReactSDLCSpinnakerTerraform

About the role

Key responsibilities & impact

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 stakeholders—Business, Product, Ops—to 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

Requirements

What you’ll need

10+ years of professional software engineering experience
3+ years in a hands-on technical leadership or coaching role
Bachelor’s or Master’s 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
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)

Benefits

Comp & perks

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 Year’s Day
Paid time off and the option to purchase additional vacation time.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonReactAngularAI coding agentsGenAILLM integrationRESTful APIgRPC APIDockerKubernetes

Soft Skills

technical leadershipcoachingmentoringchange managementinfluencing stakeholdersprocess improvementteam maturity accelerationcommunicationownershipbest practices

Certifications

Bachelor’s in Computer ScienceMaster’s in Engineering