Senior AI-DevOps Engineer | 5 to 7 Years

Employment Type: Full time | Permanent

Work Mode: Remote - Open to Travel is Mandatory

Job Description:

We are looking for an experienced Senior DevOps Engineer to manage cloud infrastructure, automate deployments, and maintain scalable, secure, and reliable environments for AI/ML applications and data-intensive systems.

Key Responsibilities

- Manage cloud infrastructure across AWS, Azure, GCP, or OCI.
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD.
- Manage Docker containers and Kubernetes deployments.
- Automate infrastructure provisioning using Terraform or Ansible.
- Monitor system performance, troubleshoot production issues, and ensure security and availability.
- Manage Linux servers, networking, databases, and logging infrastructure.




- Support AI/ML deployments and GPU-based workloads.

Required Skills

- 5 to 7 years of experience in DevOps / Cloud Engineering.
- Strong expertise in Linux, Docker, Kubernetes, and CI/CD.
- Hands-on experience with at least one cloud platform: AWS, Azure, GCP, or OCI.
- Knowledge of Terraform, Ansible, Python/Shell scripting, and monitoring tools.
- Experience with databases such as MongoDB/PostgreSQL and messaging systems such as Kafka.

Valuable to Have

- Exposure to NVIDIA GPUs, CUDA, AI/ML deployments, LLMs, or MLOps.
- Experience with Prometheus, Grafana, and ELK/OpenSearch.

Interested candidates can apply or send resume to [email protected]

📌 Senior AI-DevOps Engineer (AI, GPU & Cloud Infrastructure) (Kolar)
🏢 Wisewit Solutions
📍 Kolar