DevSecOps Full Stack Security Engineer

Ford Motor; Chennai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Ford Motor is seeking a DevSecOps Engineer to design, build, and deliver security platforms end-to-end, spanning UI, APIs, data pipelines, and cloud infrastructure. The role emphasizes secure coding, automated security workflows, and zero-trust guardrails embedded from concept to production.

You will collaborate with cross-functional teams, apply AI/ML to automate security tasks, and drive CI/CD improvements with Tekton, GitHub Actions, and Cloud Build in a cloud-native environment.

Qualifications

• 4+ years of full stack software engineering experience, preferably with security products.
• Experience with DevSecOps tooling and cloud-native platforms.
• Proficiency in front-end frameworks and back-end languages listed.

Responsibilities

• Design, build, and maintain full stack security products from concept through production.
• Automate security processes using AI/ML wherever feasible.
• Collaborate cross-functionally to translate roadmap items into engineering deliverables.
• Review code and ensure secure coding practices across the SDLC.
• Develop and optimize CI/CD pipelines and tooling.

Skills

Angular

TypeScript

React

Java

Spring Boot

Python

DevOps tooling

Tekton

Cloud Build

GitHub Actions

Docker

Terraform

SQL (PostgreSQL)

Google Cloud Platform

BigQuery

GKE

Azure/AWS

Communication skills

Agile practices

Security

Education

Bachelor's degree in Computer Science / Software Engineering / Security

Equivalent education/training

Tools

Tekton

Cloud Build

GitHub

GitHub Actions

Artifactory

Docker

Terraform

Job description

DevSecOps Engineer The DevSecOps Full Stack Security 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. 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 , full stack developer experience Experience Level Senior Level