Job Opportunities

DevOps Engineer- 6+Years Experience

Owns the infrastructure, automation, and MLOps plumbing that make the LoRA pipeline reproducible and portable (the "well-lit path"). Responsible for environment setup, CI/CD for training and deployment, GPU compute orchestration, and monitoring.

Key responsibilities
Provision and manage training/inference infrastructure (GPU compute, storage, networking) via Infrastructure-as-Code.
Build CI/CD pipelines for training runs, adapter packaging, and model deployment.
Containerize the training and serving stack and manage orchestration (e.g., Docker/Kubernetes).
Implement monitoring, logging, and cost controls for training and inference workloads.
Ensure reproducibility and portability of the pipeline across environments.

Required skills:
AWS (SageMaker/EC2 GPU, IAM, S3), Terraform/CloudFormation (IaC), Docker & Kubernetes, CI/CD (e.g., GitHub Actions/GitLab CI[EW1] ), MLOps tooling, monitoring/observability.
[EW1]pls ask delivery what is their CI/CD tool preference