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Consilio

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3.8

based on 128 Reviews

1 Consilio Devops Engineer Job

DevOps Engineer

Consilio

3.8

based on 128 Reviews

2-6 years

Bangalore / Bengaluru

1 vacancy

DevOps Engineer

Consilio

posted 4mon ago

Job Role Insights

Fixed timing

Key skills for the job

Data Science Flex DevOps Python Machine Learning Management

+ 3 more

Job Description

In this critical role, you will support our Machine Learning Engineers by creating and maintaining world-class GPU-accelerated infrastructure. You will also work closely with the engineering team to deploy AI-enabled applications, ensuring robust, scalable, and secure deployments. This role requires a skilled engineer with a strong background in self-hosted, air-gapped Kubernetes environments and advanced CI/CD pipeline design.

Responsibilities

Infrastructure Setup and Management: Design, set up, and maintain self-hosted, air-gapped Kubernetes environments tailored for GPU workloads.
Deployment and Monitoring: Deploy AI-enabled applications within Kubernetes, utilizing Prometheus and Grafana for monitoring and alerting.
GPU Workload Management: Implement and manage the NVIDIA GPU Operator for Kubernetes to optimize GPU resources and performance.
CI/CD Pipeline Design: Develop advanced CI/CD pipelines to streamline the deployment process of AI applications.
Collaboration: Work closely with Machine Learning Engineers to support and enhance GPU-accelerated infrastructure for model training and inference.

Qualifications

Technical Proficiency:

Extensive experience with self-hosted, air-gapped Kubernetes environments.
Proven expertise in managing Kubernetes-hosted GPU workloads.
Proficiency in using the Prometheus & Grafana stack for monitoring.
Experience with NVIDIA GPU Operator for Kubernetes.
Must have one of the following certifications: CKA, CKAD, or CKS.

CI/CD Expertise:

Strong background in designing and implementing CI/CD pipelines.
Experience with deploying AI-enabled applications in Kubernetes.

Collaboration and Communication:

Excellent verbal and written communication skills.
Ability to work effectively in a multidisciplinary team environment, supporting both data science and engineering teams.

Nice-to-Have:

Experience with Azure DevOps.
Familiarity with K3S.
Familiarity with Python.

Why Join Us?

Innovative Environment: Be part of a team working at the cutting edge of AI and legal tech, directly impacting the development of advanced solutions for the legal industry.
Advanced Infrastructure Stack: Deploy cutting-edge applications on state-of-the-art GPU-accelerated hardware
Career Growth: Opportunities for professional development and career advancement, with mentorship from accomplished infrastructure engineers.
Collaborative Culture: Join a passionate team with a start-up mindset, dedicated to pushing the boundaries of technology.