Senior Staff Engineer (AI Developer - AppSec)
Tasks
- Automate vulnerability lifecycle workflows
- Build RAG pipelines
- Build SAST automation
- Collaborate with devsecops teams
- Consolidate SAST DAST SCA IAST and secrets findings into dashboards
- Design AI powered application security solutions
- Develop AI secure code review assistants
- Develop developer security tooling using REST APIs
- Implement AI based secrets detection
- Implement machine learning for software composition analysis
- Integrate security into CI/CD pipelines
- Maintain CI CD pipelines for AI model deployment
- Monitor model performance and drift detection
- Optimize prompt engineering for LLMs
- Orchestrate DAST automation
- Prepare technical documentation
- Write unit tests and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
API Security | API Security Top 10 | API security testing | Agentic Workflows | Azure DevOps | Azure ML | Azure OpenAI | BSIMM | CI/CD | CWE Top 25 | Code review | Composition analysis | DAST | Docker | Drift Detection | FastAPI | Flask | GitHub Actions | IAST | Jenkins | Language Models | Large Language Models | MLOps | MLflow | Microservices | Model Monitoring | NumPy | OWASP API | OWASP API Security | OWASP API Security Top 10 | OWASP SAMM | OWASP Top | OWASP Top 10 | OpenAI APIs | Pandas | Prompt engineering | PyTorch | Python | RAG | REST APIs | Remediation workflows | Retrieval-Augmented Generation | Risk Prioritization | SAST | SCA | Scikit-learn | Secrets Scanning | Secrets management | Secure Code | Secure Code Review | Secure Coding | Secure SDLC | Security Testing | Software Composition | Software Composition Analysis | TensorFlow | Top 10 | Vulnerability Assessment | Vulnerability Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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