DevOps Engineer

PGAGI; Bengaluru; On-site; INR 600,000 - 800,000; Full time

Job summary

A dynamic technology firm in Bengaluru is seeking a proactive DevOps Engineer with 1-2 years of experience to support AI model deployment and infrastructure initiatives. The role involves containerizing and deploying AI/ML models, managing cloud environments, and building CI/CD pipelines. Ideal candidates should have knowledge of Docker, Kubernetes, and cloud platforms. Join a forward-thinking team and deepen your expertise in DevOps practices tailored for AI/ML.

Qualifications

• 1-2 years of experience in a DevOps or related technical role.
• Basic understanding of Docker and Kubernetes.
• Familiarity with CI/CD tools such as GitHub Actions or Jenkins.
• Exposure to scripting languages is a plus.

Responsibilities

• Containerize and deploy AI/ML models using Docker.
• Manage cloud and on-premise environments.
• Build and maintain automated CI/CD pipelines.
• Set up and maintain monitoring/logging tools.

Skills

Docker

Kubernetes

CI/CD tools

Problem-solving

Tools

AWS

GCP

Azure

Prometheus

Grafana

Job description

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Position Overview :

PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Engineer with around 1-2 Years of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.

Key Responsibilities

• Assist in containerizing and deploying AI/ML models into production using Docker.
• Support integration of models into existing systems and APIs.
• Infrastructure Management :
• Help manage cloud and on-premise environments to ensure scalability and consistency.
• Work with Kubernetes for orchestration and environment scaling.
• Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
• Implement basic automated testing and rollback mechanisms.
• Assist in managing hosting platforms, web servers, and CDN configurations.
• Support DNS, load balancer setups, and ensure high availability of web services.
• Set up and maintain monitoring/logging tools like Prometheus and Grafana.
• Participate in troubleshooting and resolving performance bottlenecks.
• Security & Compliance :
• Apply basic DevSecOps practices including security scans and access control implementations.
• Follow security and compliance checklists under supervision.
• Cost & Resource Management :
• Monitor resource usage and suggest cost optimization strategies in cloud environments.
• Documentation :
• Maintain accurate documentation for deployment processes and incident responses.
• Stay updated with the latest DevOps and AI infrastructure trends.

Requirements

• Around 1 -2 Year of experience in a DevOps or related technical role (internship or professional).
• Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
• Exposure to scripting languages (e.g., Bash, Python) is a plus.
• Strong problem-solving skills and eagerness to learn.