Found.dev
Role Highlights
Languages used
Python
Key skills
Data Engineer
Cloud
AI
Operations
Security
SIEM
SOC
Scripting
Tools, Libraries and Frameworks
IOS
Red Hat
IBM
JSON
Description
The role involves building the data foundation for enterprise cybersecurity operations. The individual will construct and maintain log ingestion pipelines across various data sources. Responsibilities include normalizing and structuring log data to ensure consistency for analysis. The position requires enriching security data with contextual information such as identity and IP data. Additionally, the individual will onboard new log sources into the security ecosystem and support detection and correlation use cases. Collaboration with security operations centers and engineering teams is a core component of the daily workflow.
Required Qualifications and Skills
The role requires a minimum of four years of experience in data engineering, log processing, or related fields. Candidates must possess practical experience with data pipelines, log ingestion, and SIEM tools such as Elastic or OpenSearch. Proficiency in scripting with Python and an understanding of structured and unstructured data formats like JSON and syslog are necessary. No specific degree or professional qualification is explicitly mentioned as a requirement.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
IBM
Description
IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.
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