Description

You will design and implement AI-enhanced cloud architectures and DevOps workflows to automate software engineering lifecycles.

This role is on-site.

Responsibilities

• Integrate LLMs into IDEs and CI/CD pipelines for code generation, API scaffolding, and automated testing.
• Build AI agents to automate infrastructure management, detect security flaws, and ensure compliance with standards like SOC and FedRAMP.
• Architect AI-driven CI/CD pipelines using ArgoCD, Jenkins, or Tekton with predictive deployment and rollback capabilities.
• Develop AI-based observability tools to analyze Istio and Prometheus data for anomaly detection and automated remediation.
• Automate documentation workflows by using AI to generate architecture designs, microservice docs, and release notes.

Required Skills

• 12+ years of experience in cloud architecture, DevOps, or full-stack engineering.
• Expertise in AWS, GCP, and Azure cloud platforms.
• Hands-on experience with Terraform, Helm, and Kubernetes.
• Proficiency in CI/CD tools including ArgoCD, Jenkins, and Tekton.
• Experience with observability frameworks like Prometheus, OpenTelemetry, and ELK.
• Full-stack development skills in Node.js, Python, and React or Vue.
• Deep understanding of AI/ML integration, specifically using LLMs for code generation and automation.
• Knowledge of security and compliance standards such as TISAX, SOC, FedRAMP, and NIST.
• Experience with programming languages including TypeScript, Golang, and Python.

Key Skills

Education

Any Graduate