ARTPARK (AI & Robotics Technology Park) at the Indian Institute of Science (IISc), Bengaluru is India's leading AI, Robotics, Deep Technology, Machine Learning, Healthcare AI, Cloud Computing, and Digital Public Infrastructure (DPI) innovation hub. Supported by the Department of Science & Technology (Government of India) and the Government of Karnataka, ARTPARK develops cutting-edge AI solutions that solve real-world challenges across healthcare, robotics, autonomous systems, and digital public infrastructure.

As a DevOps Engineer, you will help build highly available, secure, and scalable cloud infrastructure that powers AI-driven healthcare applications capable of improving millions of lives.

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Job Summary

ARTPARK is looking for a DevOps Engineer to design, automate, deploy, and manage enterprise cloud infrastructure supporting AI-powered healthcare platforms. You will work closely with AI researchers, software engineers, and platform teams to build secure CI/CD pipelines, deploy machine learning models, manage Kubernetes infrastructure, implement Infrastructure as Code (IaC), and ensure high availability of cloud-native applications.

This role is ideal for professionals interested in DevOps Engineering, MLOps, Cloud Engineering, Kubernetes, AWS, Azure, Google Cloud Platform (GCP), Infrastructure Automation, AI Infrastructure, Healthcare Technology, and Platform Engineering.

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Key Responsibilities

- Build, maintain, and optimize CI/CD pipelines using GitHub Actions, Jenkins, and GitOps practices.

- Deploy, manage, and monitor AI and Machine Learning models using Docker and Kubernetes.

- Design and maintain highly available cloud infrastructure across AWS, Microsoft Azure, and Google Cloud Platform (GCP).

- Manage GPU-enabled cloud environments supporting AI model training and inference.

- Implement Infrastructure as Code (IaC) using Terraform or Ansible.

- Configure and optimize Nginx and Apache web servers for production workloads.

- Implement enterprise cloud security including IAM, SSL/TLS, encryption, secrets management, and secure networking.

- Ensure compliance with India's Digital Personal Data Protection (DPDP) Act and Ayushman Bharat Digital Mission (ABDM) standards.

- Build monitoring, logging, and alerting solutions using Prometheus, Grafana, ELK Stack, and cloud-native monitoring services.

- Support edge computing and offline-first mobile applications by designing reliable synchronization mechanisms.

- Troubleshoot infrastructure, networking, cloud, Kubernetes, and deployment issues.

- Collaborate with AI researchers, cloud engineers, DevOps teams, and software developers to improve deployment automation and platform reliability.

- Create technical documentation, deployment guides, runbooks, and disaster recovery procedures.

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Required Qualifications

- B.E., B.Tech., M.Tech., or equivalent degree in Computer Science, Information Technology, Engineering, or a related discipline.

- Strong experience with Docker and Kubernetes.

- Experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure.

- Strong scripting skills using Bash/Shell and Python.

- Knowledge of Infrastructure as Code (Terraform or Ansible).

- Experience configuring and managing Nginx or Apache web servers.

- Good understanding of networking concepts including DNS, VPC, Load Balancers, SSL/TLS, and cloud networking.

- Strong troubleshooting, analytical, and communication skills.

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Technical Skills

- DevOps

- Cloud Computing

- Amazon Web Services (AWS)

- Microsoft Azure

- Google Cloud Platform (GCP)

- Docker

- Kubernetes

- GitHub Actions

- Jenkins

- GitOps

- Infrastructure as Code (IaC)

- Terraform

- Ansible

- Python

- Bash

- Shell Scripting

- Linux Administration

- Nginx

- Apache HTTP Server

- Prometheus

- Grafana

- ELK Stack

- IAM

- SSL/TLS

- Encryption

- DNS

- Virtual Private Cloud (VPC)

- Load Balancers

- REST APIs

- GPU Computing

- Cloud Storage

- AI Infrastructure

- TensorFlow

- PyTorch

- MLOps

- Edge Computing

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Professional Competencies

- DevOps Engineering

- MLOps Engineering

- Cloud Engineering

- Platform Engineering

- Site Reliability Engineering (SRE)

- Cloud Infrastructure Management

- Infrastructure Automation

- Continuous Integration (CI)

- Continuous Deployment (CD)

- GitOps

- Kubernetes Administration

- Docker Containerization

- AI Platform Operations

- Machine Learning Infrastructure

- Cloud Security

- Healthcare Cloud Compliance

- Infrastructure Monitoring

- Observability

- Incident Management

- Root Cause Analysis (RCA)

- Disaster Recovery

- High Availability Architecture

- Performance Optimization

- Cloud Networking

- Technical Documentation

- Agile Development

- Cross-functional Collaboration

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Preferred Qualifications

- Experience with MLOps and production AI model deployment.

- Knowledge of healthcare data security and privacy standards.

- Experience working on Digital Public Infrastructure (DPI) or Digital Public Goods (DPG) projects.

- Familiarity with AI model optimization techniques such as quantization and model distillation.

- Experience with large-scale cloud-native AI platforms.

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Why Join ARTPARK @ IISc?

- Work on cutting-edge Artificial Intelligence and Robotics projects with national impact.

- Build cloud platforms powering AI-based healthcare solutions for millions of users.

- Collaborate with researchers from IISc and leading AI experts.

- Gain experience in Kubernetes, MLOps, Cloud Computing, Infrastructure Automation, and AI Engineering.

- Contribute to Digital Public Infrastructure initiatives that transform healthcare in India.

- Excellent opportunities for research, innovation, technical learning, and long-term career growth.

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Apply Now

Interested candidates can apply using below link