Scry AI DevOps Engineer

2 weeks ago


HyderabadPuneGurgaonGurugramNoida, India Scry Analytics India Pvt Ltd. Full time

Job Title: Scry AI DevOps Engineer

At Scry Analytics India Pvt Ltd., we are seeking a skilled DevOps Engineer to join our team. The successful candidate will work closely with architects, data engineers, and operations to design, build, deploy, manage, and operate our development, test, and production infrastructure.

Key Responsibilities:

- Design, implement, and maintain IT infrastructure and DevOps solutions, data centers, and greenfield infrastructure projects on both On-Premises and Cloud.

- Strong experience in Terraform, Oracle Cloud Infrastructure, Ansible, Puppet, and Linux Operating systems like Red Hat Enterprise, Ubuntu, and Centos.

- Experience in server installation, maintenance, monitoring, troubleshooting, data backup, recovery, security, and administration of Linux Operating systems like Red Hat Enterprise, Ubuntu, and Centos.

- Strong programming ability in Shell/Perl/Python with automation experience.

- Experience automating public cloud deployments and using and optimizing monitoring and trending systems (Prometheus, Grafana), log aggregation systems (ELK, Splunk), and their agents.

- Experience with working in container-based technologies like Dockers and OpenShift, and using Docker and Ansible to automate the creation of Kubernetes pods.

- Experience with Ansible for provisioning and configuration of servers and experience with Jenkins to automate the Build and Deploy process across all environments.

- Experience with Build tools like Apache Maven and Apache Gradle, and monitoring and troubleshooting of Kubernetes clusters using Grafana and Prometheus.

- Experience in working closely with the Development Team to avoid manual intervention and ensure timely delivery of deliverables.

- Experience in Virtualization technologies (VMWare) and database administration, maintenance, backup, and restoration. Experience with various SQL and NoSQL databases like MySQL, Postgres, MongoDB, HBase, Elasticsearch, etc.

- Experience in handling Production Deployments.


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