TWS administrator

Infosys

Chennai District

On-site

INR 1,800,000 - 2,600,000

Full time

13 days ago
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Job summary

IBM is seeking a Workload Scheduler expert / Infrastructure Engineer Lead to drive scalable, high-performance scheduling solutions. Lead design and implementation across teams, with exposure to NodeJS/ReactJS frontend and Java backend, RESTful APIs, and CI/CD pipelines.

The role involves cross-functional system engineering activities, data center capabilities, and database optimization using Oracle/DB2. Strong collaboration and delivery of multi-deliverables are required.

Qualifications

  • Experience leading design and implementation of complex system engineering activities.
  • Cross-functional collaboration in data-center or infrastructure projects.
  • Experience with workload scheduling systems is a plus.

Responsibilities

  • Lead or participate in design, development and implementation of complex systems.
  • Collaborate across cross-functional teams for system engineering and data center capabilities.
  • Develop and maintain web and backend components with Node.js/React.js and Java; implement RESTful APIs and microservices; optimize databases.

Skills

Node.js
React.js
Java
REST APIs
Microservices
SQL
CI/CD

Tools

Oracle
DB2

Job description

IBM Workload Scheduler expert / Infrastructure Engineer Lead to join our team and drive scalable, high-performance scheduling solutions. Ability to manage multiple deliverables with various time deliveries from days to months. Working knowledge of interactive user interfaces using NodeJS/REACTJS ensuring responsive and dynamic web applications, server-side applications using Java, how to integrate frontend and backend components to deliver complete web solutions, how to implement RESTful APIs and microservices. Design/Develop and maintain databases using Oracle/DB2 SQL. Write SQL queries, stored procedures and optimize database performance. Ability to work with CI/CD tools/pipelines

The candidate leads and/or participates in the design, development, and implementation of complex system engineering activities involving cross-functional technical support, systems programming and data center capabilities.

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