Devops Architect

Zycus Infotech · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 12:33 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: JD2GP5LZ3

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Collected role description

We are seeking a highly skilled DevOps Architect with strong expertise in cloud infrastructure, Kubernetes, platform engineering, CI/CD, and automation, along with a solid understanding of Generative AI technologies. The ideal candidate will architect and scale cloud-native platforms while enabling AI-powered development, deployment, observability, and operational excellence. Key Responsibilities Architect and manage enterprise-scale cloud infrastructure. Design and implement scalable CI/CD pipelines and DevSecOps practices. Lead Kubernetes and containerization initiatives across engineering teams. Build Infrastructure as Code (IaC) solutions using Terraform, Ansible, or similar tools. Drive cloud modernization and platform engineering initiatives. Establish monitoring, observability, security, and reliability standards. Partner with engineering teams to improve deployment velocity and platform stability. Evaluate and implement AI-powered DevOps solutions. Leverage GenAI technologies to enhance automation, incident management, code generation, operational efficiency, and developer productivity. Mentor DevOps engineers and define infrastructure best practices. Required Skills DevOps & Cloud AWS, Azure, or GCP Kubernetes (mandatory) Docker Terraform CI/CD Pipelines Jenkins, GitHub Actions, GitLab CI, Azure DevOps Linux Administration Infrastructure Automation Monitoring & Observability Networking Fundamentals Security & DevSecOps Preferred Tools Terraform Ansible Helm ArgoCD Prometheus Grafana ELK Datadog Splunk GenAI & AI Acumen Understanding of Generative AI concepts Experience using AI-powered engineering tools Exposure to: OpenAI Claude Gemini GitHub Copilot Cursor AI Agents LLM-powered automation AI-driven Infrastructure Management AIOps concepts AI-assisted troubleshooting and automation Preferred Qualifications Experience architecting enterprise cloud platforms. Experience supporting large-scale SaaS products. Exposure to AI infrastructure and LLM deployment environments. Strong stakeholder management skills. Experience leading DevOps or Platform Engineering teams.

Collected experience requirement

7-15 Years