DevOps Lead

We are seeking a DevOps Technical Lead with a strong background in infrastructure automation, cloud architecture, and a keen interest in Generative AI technologies. The ideal candidate will lead the development of an Infrastructure Agent powered by GenAI – capable of intelligent provisioning, configuration, observability, and self-healing. Key Responsibilities:Lead architecture & design of an intelligent Infra Agent leveraging GenAI capabilities. Integrate LLMs and automation frameworks (e.g., LangChain, OpenAI, Hugging Face) to enhance DevOps workflows. Build solutions that automate infrastructure provisioning, CI/CD, incident remediation, and drift detection. Develop reusable components and frameworks using IaC (Terraform, Pulumi, CloudFormation) and configuration management tools (Ansible, Chef, etc.). Partner with AI/ML engineers and SREs to design intelligent infrastructure decision-making logic. Implement secure and scalable infrastructure on cloud platforms (AWS, Azure, GCP). Continuously improve agent performance through feedback loops, telemetry, and fine-tuning of models. Drive DevSecOps best practices, compliance, and observability. Mentor DevOps engineers and collaborate with cross-functional teams (AI/ML, Platform, and Product).

Bachelor's or Master's degree in Computer Science, Engineering, or related field. 8+ years of experience in DevOps, SRE, or Infrastructure Engineering. Proven experience in leading infrastructure automation projects and technical teams. Expertise with one or more cloud platforms: AWS, Azure, GCP. Deep knowledge of tools like Terraform, Kubernetes, Helm, Docker, Jenkins, and GitOps. Hands-on experience integrating or building with LLMs / GenAI APIs (e.g., OpenAI, Anthropic, Cohere). Familiarity with LangChain, AutoGen, or custom agent frameworks. Experience with programming/scripting languages: Python, Go, or Bash. Understanding of cloud security, policy as code, and monitoring tools (Prometheus, Grafana, Datadog).