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.
