The DevSecOps Full Stack Engineer is responsible for designing, engineering, and delivering security products and platforms from the ground up - architecting end-to-end solutions (front-end, back-end, APIs, data pipelines, and cloud infrastructure) that automate security requirements/processes. This role is responsible to leverage AI/ML wherever feasible to build intelligent automation into security tooling, including vulnerability triage, risk scoring, anomaly detection, and self-service security workflows, while embedding security best practices across the SDLC.
ResponsibilitiesPosition responsibilities include:
- Design, build, and maintain full stack security products (UI, APIs, web services, data layer) from concept through production deployment
Leverage AI/ML to automate security processes/requirements
- Write clean, secure, well-tested, and maintainable code following secure coding principles and industry best practices
- Participate in architecture and code reviews; ensure Zero Trust principles and DevSecOps guardrails are embedded in product design
- Collaborate cross-functionally with DevSecOps engineers, product delivery teams, and platform teams to translate roadmap items into engineering deliverables
- Troubleshoot, debug, and optimize applications for performance, scalability, and reliability
- Stay current with emerging AI capabilities, cloud-native technologies, and security engineering trends; evaluate and prototype new tools/frameworks
- Document technical designs, APIs, and operational runbooks; contribute to internal knowledge sharing and training
- Power-user of AI coding/productivity tools (Codex, Claude, open code, etc.) to boost speed and quality
- Apply strong working knowledge of Agile practices—including sprint planning, daily standups, and retrospectives—to drive effective team execution
Demonstrate curiosity and initiative in learning new tools, frameworks, and security concepts, including opportunities to apply AI to engineering problems
Skillset required:
- Proficiency in front-end frameworks (Angular, TypeScript, React) and back-end technologies/languages (Java/Spring Boot, Python)
- Exposure to DevOps tooling, including Tekton, Cloud Build, GitHub, GitHub Actions, Artifactory, Docker, along with Infrastructure-as-Code tools such as Terraform
- Experience in designing and implementing CI/CD pipelines using platforms such as Tekton, GitHub Actions, and Cloud Build to streamline and automate the software delivery lifecycle
- Hands-on experience with relational and cloud-based database technologies, including Google BigQuery, PostgreSQL
- Demonstrated experience with cloud platforms, preferably Google Cloud Platform (Big Query, Cloud Run, GKE, etc.) or any other cloud platforms (Azure/AWS)
Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse audiences; proven ability to collaborate effectively with security teams, product managers, and cross-functional engineering teams
- Bachelor (undergraduate) degree in a relevant field (Computer Science, Software Engineering, Security, or others) OR an equivalent combination of education, training, and experience
- Minimum of 4+ years of full stack software engineering experience, ideally with exposure to security products, DevSecOps tooling, or cloud-native platform
Skills Required
- Proficiency with front-end frameworks (Angular, TypeScript, React)
- Proficiency with back-end technologies (Java, Spring Boot, Python)
- Experience with DevOps tooling (Tekton, Cloud Build, GitHub, GitHub Actions, Artifactory, Docker)
- Experience with Infrastructure-as-Code (Terraform)
- Designing and implementing CI/CD pipelines (Tekton, GitHub Actions, Cloud Build)
- Hands-on experience with databases (Google BigQuery, PostgreSQL)
- Experience with cloud platforms (preferably Google Cloud Platform; Cloud Run, GKE)
- Experience with other cloud providers (Azure or AWS)
- Experience leveraging AI/ML to automate security processes (vulnerability triage, risk scoring, anomaly detection)
- Power-user of AI coding/productivity tools (Codex, Claude, etc.)
- Bachelor's degree in CS/Software Engineering/Security or equivalent experience
- Minimum 4+ years full stack software engineering experience
- Strong verbal and written communication; cross-functional collaboration with security and product teams
- Exposure to security products, DevSecOps tooling, or cloud-native security platforms
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Pay Growth & Progression — The 2023 UAW–Ford agreement delivered immediate raises, restored cost-of-living adjustments, and accelerated progression to top rates for many hourly roles. These changes improved earnings trajectories compared with pre-2023 levels.
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Healthcare Strength — Hourly employees retained very low employee cost-sharing under the 2023–2028 UAW–Ford agreement, and salaried materials describe comprehensive day‑one medical, dental, and prescription coverage. Mental-health support and family‑building benefits add depth to the overall health package.
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Retirement Support — U.S. salaried roles feature a notable 401(k) contribution and match structure, and post‑2023 updates increased retirement contributions for many UAW‑represented employees. Together these elements strengthen long‑term financial security.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
