DevOps Engineer (1yrs Exp)

Overview

About Us

Neuronest AI Private Limited is a cutting-edge artificial intelligence company dedicated to developing innovative AI solutions. We specialize in deploying AI models and applications to deliver impactful solutions for businesses across industries. We are now looking for a skilled and motivated DevOps Engineer to join our growing team.

Role Summary

As a DevOps Engineer at Neuronest AI, you will be responsible for building, maintaining, and optimizing the infrastructure that powers our AI solutions. You will work closely with data scientists, software engineers, and product teams to ensure seamless deployment and operation of AI models and applications in a reliable, scalable, and secure environment.

Key Responsibilities

• Design, set up, and maintain server infrastructure on AWS, DigitalOcean, and other cloud platforms.
• Automate and optimize CI/CD pipelines using GitHub, Jenkins, and SonarQube.
• Containerize and orchestrate applications using Docker and Kubernetes (K8s).
• Manage and maintain Docker images in Docker Hub.
• Implement robust security practices, including vulnerability scanning with Trivy and secrets management using Vault.
• Set up and manage artifact repositories using Nexus.
• Monitor and troubleshoot systems using Prometheus, ELK stack, and other observability tools.
• Design and deploy AI model-serving pipelines, ensuring efficient integration with applications.
• Collaborate with teams to optimize Neo4j database operations.
• Manage and improve the scalability, reliability, and performance of AI-driven systems.
• Proactively identify and resolve infrastructure bottlenecks and production issues.

Skills and Qualifications

• Minimum 1 year of experience in a DevOps Engineer or similar role.
• Hands-on expertise with GitHub, Jenkins, Docker, K8s, SonarQube, Docker Hub, Trivy, ELK, Prometheus, Neo4j, Vault, and Nexus.
• Strong knowledge of cloud platforms, including AWS and DigitalOcean.
• Experience with deploying AI/ML models and related pipelines in production environments.
• Proficiency in scripting and automation using tools like Python, Bash, or other scripting languages.
• In-depth understanding of CI/CD principles, infrastructure as code (IaC), and container orchestration.
• Strong problem-solving skills with a focus on scalability, performance, and security.
• Familiarity with AI/ML model deployment frameworks is a plus (e.g., TensorFlow Serving, TorchServe, FastAPI).
• Excellent communication and collaboration skills.

Job Type: Full-time

Pay: ₹20,000.00 - ₹25,000.00 per month

Schedule:

• Day shift

Work Location: In person