Description

Integrate AI capabilities into DevSecOps and SRE workflows to automate testing, deployment, and security remediation.

This role is on-site.

Responsibilities

• Implement version control for code, data, and models using GitLab, SonarQube, and Jenkins.
• Automate testing frameworks and model validation tests using AI capabilities.
• Design blue/green deployment strategies leveraging AI.
• Manage automated builds, scans, and deployments including vulnerability remediation.
• Build and deploy Agentic capabilities across the technology and business landscape.

Required Skills

• 7+ years of experience in DevSecOps or Site Reliability Engineering.
• Expert proficiency in Python.
• Hands-on experience with AWS, Azure, or GCP.
• Proficiency in CI/CD tools including Jenkins, GitHub, GitLab CI, and Artifactory.
• Experience with LLMs (Claude, OpenAI) focusing on reasoning and agentic use cases.
• Practical knowledge of Agentic AI frameworks such as LangChain, LangGraph, or CrewAI.
• Experience with RAG, Vector databases, and Context Engineering/MCP.
• Hands-on experience with DAST, SAST, and IAST security scanning and remediation.
• Knowledge of ML frameworks including TensorFlow, PyTorch, or scikit-learn.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Bachelor's degree