15000 - 20000 INR - Monthly
Information Technology
Other
Globik AI Private Limited
Overview
About the internship:
We are a fast-growing startup building AI-driven solutions across real-world use cases. We are lean, execution-focused, and moving fast. We are looking for someone who doesn't just 'manage servers' but understands how systems scale, break, and improve. If you like building infra, automating things, and solving real deployment challenges this role is for you.Selected intern's day-to-day responsibilities include:
1. Design and manage scalable infrastructure on cloud platforms such as AWS and GCP
2. Ensure system availability, fault tolerance, and security across environments
3. Implement Infrastructure as Code using tools like Terraform or CloudFormation
4. Build and manage containerized environments using Docker
5. Deploy and operate workloads on Kubernetes platforms such as EKS or GKE
6. Optimize resource utilization and implement effective scaling strategies
7. Develop and maintain CI/CD pipelines for seamless deployments
8. Automate infrastructure provisioning and operational workflows
9. Improve deployment reliability and release cycles
10. Work with distributed systems and asynchronous processing architectures
11. Implement event-driven systems using tools such as Kafka, Pub/Sub, or SQS
12. Manage large-scale data workloads efficiently
13. Set up monitoring, logging, and alerting systems
14. Ensure observability using tools such as Prometheus, Grafana, or cloud-native solutions
15. Troubleshoot production issues and implement preventive measures
16. Optimize infrastructure for performance and cost efficiency
17. Identify system bottlenecks and improve throughput and latency
18. Implement autoscaling and efficient resource allocation
Who can apply:
- are available for full time (in-office) internship
- can start the internship between 7th Apr'26 and 12th May'26
- are available for duration of 6 months
- have relevant skills and interests
- are Computer Science Engineering students
Only those candidates can apply who:
* Freshers looking for jobs may also apply
Stipend:
INR₹ 15,000 - 20,000 /monthDeadline:
2026-05-07 23:59:59Other perks:
Certificate, Letter of recommendation, Informal dress code, 5 days a week, Free snacks & beverages, Job offerSkills required:
Cloud Computing, Python, Docker, Microsoft Azure, DevOps, Kubernetes, Google Cloud Platforms (GCP), CI/CD and Amazon EC2Other Requirements:
- 1. Minimum 6 months of hands-on experience in DevOps or cloud technologies
- 2. Strong understanding of cloud platforms and deployment processes
- 3. Basic proficiency in Python for automation tasks
- 4. Exposure to scaling systems and handling production environments
- 5. Familiarity with tools such as Docker, Git, and CI/CD pipelines
- 6. A curious and proactive approach with a focus on practical learning
- 7. Availability of a personal laptop or device for work
About Company:
Globik AI is a global AI and data service company across modalities and domains, building the data backbone for the most ambitious AI systems of the future. We partner with enterprises, innovators, and public sector organisations globally to help them build and scale AI with high-quality data. From data sourcing and human-in-the-loop annotation to domain-expert evaluation across text, vision, speech, medical, geospatial and more, we ensure accuracy, depth, and scalability at enterprise standards. Powered by a proprietary multimodal data operations platform and a specialised expert network, Globik AI enables organisations to develop reliable, ethical, and high-performing AI systems. If you are building the future of AI, we are here to help build it with you.Additional information:
- Job offer:On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 300000 to 450000/year
- 1. Direct exposure to real-world scalable systems rather than practice projects
2. Opportunity to work closely with the core technology team and founders
3. High ownership and learning in a fast-paced startup environment
4. Fast-track opportunity for conversion into a full-time DevOps role
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