Software Engineer - Splunk

Overview

Job Title

Software Engineer - Splunk

Job Description

Mandatory skills

Splunk Development and Administration

Secondary Skills

Python, Splunk architecture, Splunk Administration and Development, SPL, Splunk DB connect, Visual Studio (C#), BitBucket, Kafka, Devops tools.

Primary Role & Responsibility

As a Software engineer, your daily work involves technically challenging applications and projects where your code makes a direct contribution to the further development and upkeep of our software suite and to its application in projects.

You should be able to create and maintain Splunk dashboards, alerts, reports, and correlation rules using SPL, apps and should have good understanding of source interfaces for Splunk. You should Monitor and resolve performance issues, troubleshoot log feeds, and handle support cases. You need to collaborate with cross-functional teams to gather requirements and support business needs.

You should have idea of onboarding of data from different sources like JSON, XML, syslog, errorlog files.

As a software engineer, we expect much more from you than just the ability to design and develop good software. We find it important that you possess an inherent drive to get the best out of yourself every day, that you are inquisitive and that you are not intimidated by situations which require you to branch off from the beaten track. You work together with colleagues in a SCRUM team. In addition, you have regular contact with other software teams, software architects, testers and end users. Good communication skills are therefore extremely important, as well as the ability to think pro-actively and suggest possible improvements. This gives you every opportunity to contribute your personal input and grow and develop within the department.

The often complex functionality of the software includes business logic, controls for logistical transport, communication with external computer systems, reporting, data analysis and simulation. This functionality is spread across various components. You design, program and test the software based on a design concept and a set of requirements. In some cases, you will have to personally formulate these requirements together with the (end) users and / or internal stakeholders. Learn more about the Software modular stack

Provided 24×7 production support and ensured availability through a structured weekly on-call support .

Desired Profile & Experience

Experience Level 6-10 years

Splunk Architecture, on-premise and cloud based deployment.

IoT edge.

Analytical skills and capabilities to understand how raw (unstructured) data needs to be transformed into processed information.

Good to have hands-on experience (preferred) or knowledge with Cloud platforms, Kafka, Docker, and Bash or PowerShell.