Job description
- Master’s degree in Computer Science, AI/ML, Cybersecurity, or related field
- 2+ years of experience in AI prompt engineering, DevOps, or DevSecOps roles
- Strong expertise in designing and optimizing prompts for generative AI models (e.g., ChatGPT or similar LLMs)
- Proficiency in programming/scripting languages such as Python, Bash, or JavaScript
- Hands-on experience with CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI/CD
- Solid understanding of DevSecOps principles, including secure SDLC, threat modeling, and risk mitigation
- Experience implementing security practices in pipelines (SAST, DAST, dependency scanning, secrets management)
- Familiarity with containerization and orchestration tools (Docker, Kubernetes)
- Experience with cloud platforms such as AWS, Azure, or GCP and their security services
- Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)
- Understanding of API integrations and automation workflows for AI systems
- Experience with monitoring, logging, and observability tools (CloudWatch, ELK, Prometheus, etc.)
- Strong knowledge of access control, IAM policies, and data security best practices
- Familiarity with compliance frameworks (SOC 2, HIPAA, ISO 27001) is a plus
- Ability to build secure, scalable, and automated AI-driven workflows
- Strong analytical, problem-solving, and troubleshooting skills
- Excellent documentation and communication skills
