1. Implement release engineering processes and management
2. Manage infrastructure automation with terraform and ansible
3. Work on infrastructure provisioning and deployments for data-driven applications and big data workloads on Kubernetes with multi-cloud environments
4. Deliver continuous best practices with continuous security and testing
5. Implement, secure and maintain the cloud environments for QA, development and production environments
6. Involve in writing and modifying scripts for application deployments as well
7. as system monitoring
8. Enagage in developing and overseeing the backup, replication, clustering and
9. failover strategies
Requirements:
1. Experience with Linux/Windows servers in virtualized and cloud environments like OpenStack, AWS, Google, and Azure
2. Experience in Linux, shell scripting, DevOps process and continuous delivery
3. Experience in support of different application stack applications like Java, Python, Golang, NodeJS, RoR
Skill(s) required
Amazon Web Services (AWS)Cloud ComputingDockerKubernetesMicrosoft Azure
We are an enterprise data, 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 from TiE Chandigarh. In 2018, we received the 'best product of the year' award from 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 a few products with enterprises.
