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14 Weeks ago

Software Engineer, Splunk

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Noida, Uttar Pradesh, India
Information Technology
Full-Time
Natwest

Overview

Join us as a Software Engineer

  • This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
  • Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority
  • It’s a chance to hone your existing technical skills and advance your career
  • We're offering this role at associate level

What you'll do

In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.

You’ll also be:

  • Producing complex and critical software rapidly and of high quality which adds value to the business
  • Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
  • Collaborating to optimise our software engineering capability
  • Designing, producing, testing and implementing our working code
  • Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

The skills you'll need

You’ll need a background in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.

You’ll also need:

  • Experience of at least 4 years in Splunk Procedural Language
  • Expertise with the Splunk components like Universal Forwarder, Heavy Forwarder, Search Head, Indexers/Deployment Server, Deplorer, License master, Cluster Master, configuration
  • Experience in Splunk Admin activities - Splunk Cluster set-up and management/Users & Roles Setup and Management
  • Experience in dashboards development - Classic Dashboard/ Dashboard Studio
  • A background in solving highly complex, analytical and numerical problems
  • Experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
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