DevOps Engineer - Google Cloud Platform (4-6 yrs)

ResourceTree Global Services is hiring DevOps Engineer - GCP for leading Analytics Client. Below are the Job Details :

Role : DevOps Engineer - GCP (Google Cloud Platform )

Exp : 3.5 years to 6 Years

Mandatory Skills :

- GCP : Vertex AI, Cloud Run, BigQuery, CloudSQL, Cloud Build

- Containerization : Docker, Kubernetes

- Infrastructure as Code : Terraform

- Scripting Languages : Shell Script, PowerShell, Python, Groovy, Ruby, Perl

Location : Chennai, Hyderabad, Bangalore

About the Role :

As a DevOps Engineer/Lead, you will work with our DevOps team to build, test, and maintain the infrastructure. In doing so, you will closely collaborate with program leads and technology architects across global locations.

Roles & Responsibilities :

- Automate infrastructure and required GCP service provisioning as per the project needs

- Work with development teams and architects to plan cloud capacity for data lakes

- Design and develop Continuous Integration / Continuous Delivery (CI/CD) pipeline components and jobs

- Collaborate and work closely with all engineering teams to build, maintain, and deploy applications/GCP services

- Engage with development teams to promote DevOps adoption and advocate for DevOps-driven design decisions

- Contribute to improving the efficiency of the assignment through quality improvements and innovative suggestions

- Experience with the full software development lifecycle and delivery using Agile practices

- Experience working in a fast-paced Agile development environment

- Highly effective oral and written communication, the ability to work in a team environment, accepting guidance and collaborating with others

Desired Skills and Experience :

- Experience : 3 to 7 years of experience

- Hands-on experience in GCP Cloud

- Knowledge of cloud concepts : Networking, security, monitoring, DR, scalability, high availability

- Experience in setting up cloud infrastructure: Security, monitoring for enterprise applications

- Hands-on experience with GCP services like Vertex AI, Cloud Run, BigQuery, CloudSQL, Cloud Build

- Experience working with source control systems, and troubleshooting build/deploy pipelines using tools such as Git, Jenkins, GCP Cloud Build

- Implementing CI/CD practices for data analytics services

- Good knowledge of Continuous Integration tools: Maven, Jenkins, Sonar, etc.

- Experience in provisioning GCP infrastructure and supporting infrastructure and applications running on the GCP cloud environment

- Experience with microservices and distributed applications, such as containers, Kubernetes, and/or serverless technology

- Operational exposure: Troubleshooting skills, understanding system capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks

- Understanding of managing Infrastructure as Code via tools such as Terraform

- Understanding of Configuration Management tools: Ansible, Salt

- Significant experience in configuring industry-leading infrastructure/application monitoring tools (Kibana, Grafana, Datadog, Splunk, Dynatrace, AppDynamics, etc.)

- Experience with any of the Linux flavors

- Experience in automation scripting using any of the languages like Shell Script, Groovy, PowerShell, or Python