Accepting Applications
Full-time
On-site
LinkedIn
Posted 3 weeks, 2 days ago
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Job Description
DevSecOps \& Platform Engineering
- Design, build, and maintain secure, scalable, and highly available GenAI, Agentic AI, and Agentic Coding platforms.
- Develop and manage CI/CD pipelines for AI applications, AI agents, LLM deployments, and cloud-native services.
- Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC).
- Manage containerized workloads using Docker, Kubernetes, OpenShift, and Helm.
Enable enterprise-scale deployment and lifecycle management of AI applications and services.
DevSecOps \& Platform Engineering
- Design, build, and maintain secure, scalable, and highly available GenAI, Agentic AI, and Agentic Coding platforms.
- Develop and manage CI/CD pipelines for AI applications, AI agents, LLM deployments, and cloud-native services.
- Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC).
- Manage containerized workloads using Docker, Kubernetes, OpenShift, and Helm.
- Enable enterprise-scale deployment and lifecycle management of AI applications and services.
- Establish standards, templates, reusable automation frameworks, and engineering best practices.
Agentic AI Platform Engineering
- Design, deploy, and manage Agentic AI frameworks and autonomous AI workflows.
Agentic Coding \& Autonomous Software Engineering
- Design and implement secure Agentic Coding platforms to accelerate software development and infrastructure automation.
- Enable autonomous software engineering capabilities using Devin AI and related AI coding agents.
- Integrate AI coding platforms into DevSecOps, CI/CD, Infrastructure as Code, AgentOps, and Platform Engineering workflows.
- Implement AI-assisted code generation, code review, refactoring, debugging, documentation generation, test creation, and deployment automation.
- Implement automated validation, testing, vulnerability scanning, and policy enforcement for AI-generated artifacts.
AI Security, Threat Modeling \& Risk Management
MITRE ATLAS \& AI Threat Intelligence
- Apply MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) to identify and mitigate threats targeting AI systems.
- Perform AI threat modeling Using MITRE ATLAS attack patterns and adversarial techniques.
- Map AI risks and attack scenarios to MITRE ATLAS and MITRE ATT\&CK frameworks.
Generic Managerial Skills: If any:
- Cloud Platforms - Microsoft Azure/AWS/ GCP/DevSecOps \& Automation
- GitHub Actions - GitLab CI/CD, Jenkins, Terraform, Ansible, Python, Infrastructure as Code (IaC)
- GitOps, Containerization \& Orchestration
- Kubernetes – Docker/ OpenShift/ Helm/
- AI, GenAI \& Agentic AI - OpenAI APIs, Llama Models, LangChain, LangGraph, OpenAI Agents SDK, MCP, AI Orchestration Frameworks
- Agentic Coding \& AI Software Engineering - Devin AI (Primary), Cursor AI, GitHub Copilot Enterprise
- Database \& Enterprise Integrations - SQL Server, PostgreSQL, MySQL, REST APIs, Jira, GitHub
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