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Senior Full Stack Product Developer
Location
India
Posted
10 days ago
Salary
0
Seniority
Senior
Job Description
Senior Full Stack Product Developer
Ford Motor Company
• Design / Develop security products with Self-Service portals (UI), security central websites using Angular JS, React JS, Backstage and backed APIs using Java or Python • Develop CI-CD pipelines on Tekton and deploy to GCP cloud. • Work with product managers, SMEs, anchors to create prototypes, perform PoCs • Collaborate with Platform vendors to understand their APIs, integration patterns to automate deployments / manual tasks. • Automate testing using Playwright, postman • Work with various infrastructure and application support teams to provide technical direction and address security issues. • Design, test, and implement security policies for critical Enterprise Infrastructure. • Automate repeatable tasks and workflows to improve process efficiency by developing APIs/scripts and deploying to the cloud. • Implement SRE for Platform services, capabilities/features to achieve availability and reliability. • Secure in-house and public AI and ML/DL/LLM/Agents/MCP systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle. • Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security). • Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements. • Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)). • Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access). • Conduct vulnerability assessments and penetration testing on AI models and data pipelines. • Ensure AI data is encrypted, anonymized, and securely stored. • Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust). • Protect AI models from tampering, theft, and adversarial manipulation during training and deployment. • Monitor and log AI system activity for anomalies and security incidents. • Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements. • Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency. • Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities. • Configure alerting systems for security threats and enable real-time monitoring for observability.
Job Requirements
- A relevant Bachelor's or Master’s Degree in engineering/computer applications
- 4+ years of experience in Product development with UI (Angular JS, React, Backstage) and API development (Python Flask or FastAPI or Java)
- 4+ years of experience in security engineering, platform engineering, and AI/ML, including experience in large, complex environments, such as:
- Managing security platforms and tools in enterprise environments
- Telemetry pipeline platforms (e.g., BindPlane), SIEM (e.g., Splunk, QRadar), and vulnerability management tools
- 4+ years of Experience in development of CI-CD pipelines
- 4+ years of experience with GCP or Azure or AWS cloud and configuring infrastructure using infrastructure-as-a-code libraries like Terraform, Ansible, etc.
- Container security (Docker, Kubernetes)
- Networking protocols, firewalls, and network security best practices
- AI/ML concepts, architectures, and AI security challenges
- AI threat areas (adversarial attacks, data poisoning, model inversion, unauthorized access)
- Vulnerability assessment and penetration testing on AI models and data pipelines
- Data protection techniques (encryption, anonymization, secure storage) and secure access management (RBAC, ABAC, Zero Trust)
- Incident response, monitoring tools, and threat intelligence platforms
- Security frameworks and compliance references (SAIF, NIST, FAICP)
- Experience working in an Agile development environment.
- Knowledge of cybersecurity principles, practices, and technologies.
Benefits
- NOTE: Apply using the External Facing Resume
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