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Solution Engineer

VuNet Systems Verified employer

Actively hiring · Posted 1d ago · JEV26100A63DA13BB

Salary₹5,00,000 – ₹15,00,000 per year
Experience2–7 yrs
LocationHyderabad, Telangana
Work modeOffice · Full time
Openings1

Job description

At VuNet, we are building next-generation products that use a full-stack product with big data and machine learning in innovative ways to monitor customer journeys and improve user experience. Our next-generation systems are helping the largest financial institutions to improve their digital payment experience, driving more financial inclusion across the country.This role is for Work from the office.Job Description​

​Roles & Responsibilities​​

Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain

Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications

Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts

Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed

Analytics and analysis of data and provide insights and recommendations

Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.

Work with the product team in developing new features, identifying solution gaps, etc.​

Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.​

Skills & Experience

At least 2+ years of experience in IT Infrastructure Management

Experience in working with large-scale IT infra, including applications, databases, and networks.​

Experience in working with monitoring tools, automation tools

Hands-on experience in Linux and scripting.

Knowledge/Experience in the following technologies will be an added plus:​ ​ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.

Key skills

How to apply

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