Experience: 7-8 Years

- Deploy, maintain, and troubleshoot applications on Azure AKS/Kubernetes.
- Solid experience with DevOps automation, including automating infrastructure, deployments, operational tasks, and repetitive support processes.
- Build automation using Terraform, Ansible, GitLab CI/CD, Python, and Bash.
- Hands-on experience supporting or integrating LLMs, AI platforms, APIs, and AI/ML workloads.

- Support Docker, Helm, Kubernetes, Linux, and cloud infrastructure.
Troubleshoot networking, DNS, TLS/SSL, APIs, databases, pods, and application connectivity.
- Experience with monitoring/observability, incident support, production deployments, and change management.
- Able to resolve incidents and create postmortem reports
- Monitor application in prod and resolve critical issues.
- Experience in creating dashboards in DataDog and Grafana. Able to set up triggers and monitors.

Good to have:

Basic understanding of DataScience

Experience in Data Engineering

Skills:

- Azure
- AKS/Kubernetes
- Terraform
- GitLab CI/CD
- Python
- Bash
- SQL
- Docker
- Helm

📌 Azure Devops Engineer (Chennai)
🏢 WSNE Consulting
📍 Chennai