Description

Architect and manage AI-enabled CI/CD pipelines and Model Context Protocol (MCP) implementations to enhance developer productivity, code quality, and release reliability.

This role is on-site.

Responsibilities

• Design and deploy production-grade MCP clients and servers to securely connect enterprise LLMs with engineering tools, repositories, and cloud infrastructure.
• Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, metrics, and deployment data to authorized AI agents.
• Integrate LLM agents into developer workflows for automated code review, vulnerability detection, test generation, and infrastructure recommendations.
• Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.
• Implement AI safety controls, guardrails, and autonomous remediation workflows for incident triage and infrastructure issue resolution.

Required Skills

• Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, or Platform Engineering.
• Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, or ArgoCD.
• Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.
• Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.
• Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.
• Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.
• Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, or LlamaIndex.
• Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.
• Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, and vulnerability management.

Preferred Skills

• Experience with AI-driven observability workflows using platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
• Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.

Key Skills

Education

Bachelor's degree