DevOps Architect

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.