Senior Staff Engineer (DevOps Engineer- AI/ML)

Job Description

Looking for a DevOps/MLOps Engineer to build and manage scalable automated infrastructure for our LLM-powered GenAI platform. Youll enable fast iteration and reliable deployment of models and services through robust CI/CD pipelines container orchestration and ML lifecycle tooling.

Key Responsibilities:

• Design and maintain CI/CD pipelines using Jenkins GitHub Actions or similar.
• Automate infrastructure provisioning using Terraform and manage services with Kubernetes.
• Write and maintain Bash/Python scripts for automation and operational tooling.
• Implement and monitor MLOps workflows using tools like MLflow Azure ML or similar.
• Support deployment and monitoring of LLM-based models and APIs in production.

Required Skills:

• Hands-on experience with Jenkins GitHub Actions or equivalent CI/CD tools.
• Proficiency with Terraform Kubernetes Docker and cloud-native practices.
• Strong scripting skills in Bash and Python.
• Experience with ML model tracking versioning and deployment using MLflow or similar.
• Familiarity with cloud platforms (e.g. Azure AWS or GCP).

Nice to Have:

• Exposure to LLM/GenAI deployment workflows.
• Experience with model performance monitoring and observability tools (Prometheus Grafana etc.).
• Security and cost optimization best practices for ML infrastructure.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills
Computer Science,Docker,Kubernetes,Python,VMware,C/C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems
Department / Functional Area: Engineering
Experience: years
Vacancy: 1