Description
You will engineer AI-driven solutions within the development and operations lifecycle, focusing on automation and security.
This role is on-site.
Responsibilities
- Automate testing frameworks using AI capabilities, including model validation tests.
- Design blue/green deployment strategies leveraging AI capabilities.
- Automate build, scans, and deploy processes, including vulnerability remediation.
- Implement automated security vulnerability detection and remediation (DAST/SAST/IAST).
- Build and deploy Agentic capabilities using AI Agentic tools.
Required Skills
- 7+ years of experience in DevSecOps or Site Reliability Engineering.
- Proficiency in Python; Java experience is also required.
- Hands-on experience with AWS, Azure, or GCP cloud platforms.
- Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with CI/CD tools, including Jenkins, GitHub, or GitLab CI.
- Knowledge of LLMs (Claude/OpenAI) focusing on reasoning and agentic use cases.
- Understanding of RAAG and Vector databases.