Company Profile:

At Verizon India, you can pursue your ambitions and drive meaningful change. From 5G and IoT to AI and more, you'll work on exciting initiatives across the business when you join our team. You'll also play a critical role in the development of new technologies, monitor Verizon’s business operations, and work on UX initiatives for our business and customers. We’re a diverse network of people driven by our aspirations and shared purpose, committed to shaping the future.

Job description:

Job Description

Job Description

As a Principle Engineer- Cloud within the Artificial Intelligence and Data Organization (AI&D), you will be strategizing, identify and drive state-of-the-art technologies for Platform Rationalization and Work with leadership and help align on strategies across the enterprise. You will be defining blueprint for GCP’s adoption and GCP’s services and come up with high-level design to implement solutions and Partner with stakeholders to identify real business opportunities and build roadmap.

 

You will be a good thought leader with innovation in every thought. You are a good team player and have a go-getter kind of attitude with good interpersonal skills. Understanding the Latest happening in ML and Model Operations area and building good work culture with onshore-offshore. Adhering to the organization priorities and policies. Building external stakeholder communication with Business user and Data Scientists

 

The work you'll be doing will support GCP and ML Engineering at enterprise level, which is going to enhance the experience for Data scientists and ML engineers to build world class solutions at scale.

What you’ll be doing…

• Deploying a Hadoop cluster, maintaining a hadoop cluster, adding and removing nodes using cluster monitoring tools like Cloudera Manager, configuring high availability.

• Working closely with the database team, network team and application teams to make sure that all the big data applications are highly available and performing as expected.

• Providing support for engineering team on HDP and CDP cluster related issues.

• Maintaining security and compliance standards across the cloud / On prem platform.

• Creating and maintaining documentation for platform configurations, changes, and issues.

• Designing and recommending solution frameworks for teams to develop self-serve / auto-heal  solutions in GCP & On Prem Hadoop Platform.

• Optimizing Query performance in terms of cost in Cloud Big Query.

• Developing and deploying Python based custom solutions using Cloud Functions, Pubsub, BQ etc services in GCP.

• Creating infrastructure using Terraform and optimize the custom terraform modules.

• Develop ansible scripts and integrate with Terraform as part of application environment provisioning in GCP / On Pem.

• Collecting, integrating and Developing platform observability dashboards .

• Developing and configuring Jenkins jobs and its integration with Git and artifactory registries.

• Analyzing and designing SRE solutions on top of existing GCP networks spanning across different GCP projects and on Prem Hadoop.

• Resolving user issues for data services in Hadoop, Spark and GCP like dataproc, dataflow, composer, GKE, storage, Compute,  BQ, cloud functions to name few.

• Developing docker images and integrate them with security scan tools. 

• Developing digital solutions like Slackbot and deploy them to production.

• Handling production support activities and following incident management process.

• Understanding and implement GCP monitoring requirements and implement its integration with third party APM, alert management tools.