Strong software engineering experience with good hands-on experience developing AI/ML or security automation solutions.
Strong programming expertise in Python with hands-on experience using libraries such as Scikit-learn, PyTorch, Pandas, and NumPy.
Experience developing AI-powered applications involving machine learning, large language models (LLMs), automation, or intelligent workflows.
Strong understanding of DevSecOps practices and hands-on experience with security tools including SAST, SCA, secrets detection, IaC scanning (Checkov, Terrascan), and container image scanning (Trivy).
Experience integrating security automation into CI/CD platforms such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
Hands-on experience with Docker, Kubernetes (AKS/EKS preferred), and container security best practices.