Role
Company
What makes you a great fit :
- Minimum 4 years of experience.
- Implementing & supporting CI/CD/CT pipelines at scale.
- Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.
- Knowledge and experience using Terraform and Ansible to manage and configure cloud infrastructure and applications.
- Knowledge and experience managing containerized applications using Docker, Helm and Kubernetes. Preferably EKS.
- Extensive experience with Shell scripts (bash).
- Knowledge and practical experience of Jenkins for CI.
- Experienced in build & release management.
- Experience in deploying JVM-based applications.
- Enterprise AWS deployment with sound knowledge of AWS and AWS security.
- Knowledge of encryption technologies: IPsec, SSL, SSH.
- Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly available, 247 production environment.
- DNS providing and maintenance.
- Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, and Spring Boot.
- Knowledge of app and server monitoring tools such as ELK/App Engine.
- Excellent written, oral communication and interpersonal skills.
With a mission to unlock a faster future for enterprises with our application and platform that powers AI use cases, we are a startup that is inventing the next generation of intelligent automation software. AI, automation, cloud computing, ML, data, and microservices- we enjoy working on all these technologies. Zyient enables making the right data available for the right workloads at the right time to get the right insights and take the right decisions. Our platform is the most powerful iPaaS in the market by design. Our users can easily connect, integrate and automate any workflow in a simple, fast manner. Thanks to our highly advanced AI-driven engine, people can fulfill and empower all business requirements with smart analytics and conversational virtual assistants to create amazing employee experiences and increase teams' productivity tenfold.
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