1. Manage infrastructure monitoring
2. Manage services for Hadoop, AWS, Azure, Docker, and Kubernetes Clusters
3. Execute all the supporting tasks which are included but not limited to code deployment
4. Manage source control systems, virtual servers, scripting, etc.
5. Implement, secure, and maintain the computer systems for its test, development, and production environment
6. Identify and analyze the issues that hamper the performance of the system and to work in close coordination with the product development team and recommend the solutions to the issues
7. Identify the discrepancies in the system, to assess the risks, and to implement solutions by adhering to the security standards
8. Involve in writing and modifying scripts for application deployments as well as system monitoring
9. Involve in developing and overseeing the backup, replication, clustering and failover strategies
10. Upgrade the software installed including on to the server including upgrading virus software and code upgrades
11. Maintain the Hadoop Clusters, AWS, Azure, and Microservices
After the completion of an internship, based on the performance, the candidate will be hired as a full-time employee.
We are an enterprise data and AI platform and cloud transformation company with a vision of transforming enterprises into AI-first organizations building intelligent distributed and data-driven decision platforms on enterprise data, AI, IoT, cloud, and DevOps. We primarily focus on enterprise data-driven applications at scale with serverless and microservices architecture on cloud, on-premises, and multi-cloud solutions. In 2017, we received the 'best start-up' of the year award by TiE Chandigarh. In 2018, we received the 'best product of the year' award by STPI, Ministry of Electronics and IT. We have been working with platforms and products for continuous delivery and enterprise data and AI hub and are also co-engineering few products with enterprises.
